Gotowe bibliografie tematyczne / Images 2D - Modèles 3D

Gotowa bibliografia na temat „Images 2D - Modèles 3D”

Autor: Grafiati

Data publikacji: 13 lipca 2024

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Artykuły w czasopismach na temat "Images 2D - Modèles 3D"

Djroh, Simon Pierre, Ehui Beh Jean Constantin Aka, Yacouba Ouattara, Serge P. Dégine Gnoleba, Yaba Mariana Aimée Ahade i Loukou Nicolas Kouame. "Tomographie électrique et estimation des réser ves de Granite pour une exploitation de carrière à Brofodoume, Sud-Est de la Côte d’Ivoire". Journal of the Cameroon Academy of Sciences 18, nr 2 (24.10.2022): 437–46. http://dx.doi.org/10.4314/jcas.v18i2.4.

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La quantification de matériaux granitiques est primordiale pour une exploitation rationnelle de carrière afin de fournir les granulats nécessaires pour les travaux d’infrastructure pour l’expansion de la ville d’Abidjan. Cette étude, réalisée à Brofodoumé, présente une autre approche dans l’évaluation du potentiel granitique par la tomographie électrique 2D. Cette technique consiste à explorer le sous-sol par la mesure des contrastes de résistivité électrique avec la configuration poly-pôles à pas multiples. Les résultats obtenus sont des sections images 2D dont l’analyse montre que la profondeur du toit granitique serait comprise entre 0,2 et 60 mètres. Ils relèvent également la présence de quelques fractures notamment des discontinuités NW-SE à ~ 20 m de profondeur, qui pourraient limiter son exploitation. Le modèle tridimensionnel (3D) expose un granite de forme irrégulière, sub-affleurent sur la bordure occidentale du prospect et estime son potentiel exploitable à ~ 7 millions de tonnes. Quantification of granitic materials is essential for rational quarrying to provide the aggregates needed for infrastructure works for the expansion of the city of Abidjan. This study, carried out in Brofodoumé, presents an alternative approach to the evaluation of the economic potential of a granitic (felsic) pluton using 2D electrical tomography. This technique consists of exploring the subsurface by measuring electrical resistivity contrasts with the multi-step poly-pole configuration. The results obtained are 2D image sections whose analysis shows that the depth of the granitic roof is between 0.2 and 60 metres. They also show the presence of some fractures notably a NW—SE discontinuity at ~ 20 m depth with hydrogeological potential that could limit its exploitation. The three-dimensional (3D) model shows an irregularly shaped granite, sub-flush on the western edge of the prospect and estimates its exploitable potential at ~ 7 million tonnes.

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Wang, Yong Sheng. "Fast 3D Human Face Modeling Method Based on Multiple View 2D Images". Applied Mechanics and Materials 273 (styczeń 2013): 796–99. http://dx.doi.org/10.4028/www.scientific.net/amm.273.796.

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This paper presents a novel approach to model 3D human face from multiple view 2D images in a fast mode. Our proposed method mainly includes three steps: 1) Face Recognition from 2D images, 2) Converting 2D images to 3D images, 3) Modeling 3D human face. To extract visual features of both 2D and 3D images, visual features adopted in 3D are described by Point Signature, and visual features utilized in 2D is represented by Gabor filter responses. Afterwards, 3D model is obtained by combining multiple view 2D images through calculating projections vector and translation vector. Experimental results show that our method can model 3D human face with high accuracy and efficiency.

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Hirano, Daisuke, Yusuke Funayama i Takashi Maekawa. "3D Shape Reconstruction from 2D Images". Computer-Aided Design and Applications 6, nr 5 (styczeń 2009): 701–10. http://dx.doi.org/10.3722/cadaps.2009.701-710.

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Szymczyk, Piotr. "Obtaining 3D information from 2D images". ELEKTRONIKA - KONSTRUKCJE, TECHNOLOGIE, ZASTOSOWANIA 1, nr 6 (5.06.2014): 49–52. http://dx.doi.org/10.15199/ele-2014-041.

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Holzleitner, Iris J., Alex L. Jones, Kieran J. O’Shea, Rachel Cassar, Vanessa Fasolt, Victor Shiramizu, Benedict C. Jones i Lisa M. DeBruine. "Do 3D Face Images Capture Cues of Strength, Weight, and Height Better than 2D Face Images do?" Adaptive Human Behavior and Physiology 7, nr 3 (26.08.2021): 209–19. http://dx.doi.org/10.1007/s40750-021-00170-8.

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Abstract Objectives A large literature exists investigating the extent to which physical characteristics (e.g., strength, weight, and height) can be accurately assessed from face images. While most of these studies have employed two-dimensional (2D) face images as stimuli, some recent studies have used three-dimensional (3D) face images because they may contain cues not visible in 2D face images. As equipment required for 3D face images is considerably more expensive than that required for 2D face images, we here investigated how perceptual ratings of physical characteristics from 2D and 3D face images compare. Methods We tested whether 3D face images capture cues of strength, weight, and height better than 2D face images do by directly comparing the accuracy of strength, weight, and height ratings of 182 2D and 3D face images taken simultaneously. Strength, height and weight were rated by 66, 59 and 52 raters respectively, who viewed both 2D and 3D images. Results In line with previous studies, we found that weight and height can be judged somewhat accurately from faces; contrary to previous research, we found that people were relatively inaccurate at assessing strength. We found no evidence that physical characteristics could be judged more accurately from 3D than 2D images. Conclusion Our results suggest physical characteristics are perceived with similar accuracy from 2D and 3D face images. They also suggest that the substantial costs associated with collecting 3D face scans may not be justified for research on the accuracy of facial judgments of physical characteristics.

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Delvit, Jean-Marc, i Céline L'Helguen. "Observer la Terre en 3D avec Pléiades-HR". Revue Française de Photogrammétrie et de Télédétection, nr 209 (29.01.2015): 11–16. http://dx.doi.org/10.52638/rfpt.2015.155.

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La connaissance de modèles numériques d'élévation est un élément essentiel pour un grand nombre d'applications de télédétection, notamment à très haute résolution. Cette information d'élévation peut être déduite de couples d'images stéréoscopiques en combinant des techniques photogrammétriques et des techniques de type corrélation. L'amélioration de la résolution des système spatiaux d'observation de la Terre, comme PleiadesHR (pas d'échantillonnage au sol de 70 cm) ainsi que les capacités croissantes d'acquisitions en mode stéréoscopique et multi-stéréoscopique permettent de générer de manière plus systématique des modèles numériques de terrain prenant également en compte le sursol fins (bâtis, véhicules, végétation), avec une précision de restitution de l'ordre du mètre. Une méthode générique de restitution de modèles en « vrai » 3D fortement parallélisable est ici utilisée autorisant le traitement simultané de 2 à N images sur une même zone.

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Nomura, Kosuke, Mitsuru Kaise, Daisuke Kikuchi, Toshiro Iizuka, Yumiko Fukuma, Yasutaka Kuribayashi, Masami Tanaka i in. "Recognition Accuracy Using 3D Endoscopic Images for Superficial Gastrointestinal Cancer: A Crossover Study". Gastroenterology Research and Practice 2016 (2016): 1–6. http://dx.doi.org/10.1155/2016/4561468.

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Aim. To determine whether 3D endoscopic images improved recognition accuracy for superficial gastrointestinal cancer compared with 2D images.Methods. We created an image catalog using 2D and 3D images of 20 specimens resected by endoscopic submucosal dissection. The twelve participants were allocated into two groups. Group 1 evaluated only 2D images at first, group 2 evaluated 3D images, and, after an interval of 2 weeks, group 1 next evaluated 3D and group 2 evaluated 2D images. The evaluation items were as follows: (1) diagnostic accuracy of the tumor extent and (2) confidence levels in assessing (a) tumor extent, (b) morphology, (c) microsurface structure, and (d) comprehensive recognition.Results. The use of 3D images resulted in an improvement in diagnostic accuracy in both group 1 (2D: 76.9%, 3D: 78.6%) and group 2 (2D: 79.9%, 3D: 83.6%), with no statistically significant difference. The confidence levels were higher for all items ((a) to (d)) when 3D images were used. With respect to experience, the degree of the improvement showed the following trend: novices > trainees > experts.Conclusions. By conversion into 3D images, there was a significant improvement in the diagnostic confidence level for superficial tumors, and the improvement was greater in individuals with lower endoscopic expertise.

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Sun, Haoran. "A Review of 3D-2D Registration Methods and Applications based on Medical Images". Highlights in Science, Engineering and Technology 35 (11.04.2023): 200–224. http://dx.doi.org/10.54097/hset.v35i.7055.

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The registration of preoperative three-dimensional (3D) medical images with intraoperative two-dimensional (2D) data is a key technology for image-guided radiotherapy, minimally invasive surgery, and interventional procedures. In this paper, we review 3D-2D registration methods using computed tomography (CT) and magnetic resonance imaging (MRI) as preoperative 3D images and ultrasound, X-ray, and visible light images as intraoperative 2D images. The 3D-2D registration techniques are classified into intensity-based, structure-based, and gradient-based according to the different registration features. In addition, we investigated the different application scenarios of this registration technology in medical clinical treatment, which can be divided into disease diagnosis, surgical guidance and postoperative evaluation, and also investigated the evaluation method of 3D-2D registration effect.

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Logadottir, A., S. Korreman i P. M. Petersen. "COMPARISON OF PROSTATE LOCALIZATION WITH 2D-2D AND 3D IMAGES". Radiotherapy and Oncology 92 (sierpień 2009): S179—S180. http://dx.doi.org/10.1016/s0167-8140(12)73061-x.

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Brownhill, Daniel, Yachin Chen, Barbara A. K. Kreilkamp, Christophe de Bezenac, Christine Denby, Martyn Bracewell, Shubhabrata Biswas, Kumar Das, Anthony G. Marson i Simon S. Keller. "Automated subcortical volume estimation from 2D MRI in epilepsy and implications for clinical trials". Neuroradiology 64, nr 5 (18.10.2021): 935–47. http://dx.doi.org/10.1007/s00234-021-02811-x.

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Abstract Purpose Most techniques used for automatic segmentation of subcortical brain regions are developed for three-dimensional (3D) MR images. MRIs obtained in non-specialist hospitals may be non-isotropic and two-dimensional (2D). Automatic segmentation of 2D images may be challenging and represents a lost opportunity to perform quantitative image analysis. We determine the performance of a modified subcortical segmentation technique applied to 2D images in patients with idiopathic generalised epilepsy (IGE). Methods Volume estimates were derived from 2D (0.4 × 0.4 × 3 mm) and 3D (1 × 1x1mm) T1-weighted acquisitions in 31 patients with IGE and 39 healthy controls. 2D image segmentation was performed using a modified FSL FIRST (FMRIB Integrated Registration and Segmentation Tool) pipeline requiring additional image reorientation, cropping, interpolation and brain extraction prior to conventional FIRST segmentation. Consistency between segmentations was assessed using Dice coefficients and volumes across both approaches were compared between patients and controls. The influence of slice thickness on consistency was further assessed using 2D images with slice thickness increased to 6 mm. Results All average Dice coefficients showed excellent agreement between 2 and 3D images across subcortical structures (0.86–0.96). Most 2D volumes were consistently slightly lower compared to 3D volumes. 2D images with increased slice thickness showed lower agreement with 3D images with lower Dice coefficients (0.55–0.83). Significant volume reduction of the left and right thalamus and putamen was observed in patients relative to controls across 2D and 3D images. Conclusion Automated subcortical volume estimation of 2D images with a resolution of 0.4 × 0.4x3mm using a modified FIRST pipeline is consistent with volumes derived from 3D images, although this consistency decreases with an increased slice thickness. Thalamic and putamen atrophy has previously been reported in patients with IGE. Automated subcortical volume estimation from 2D images is feasible and most reliable at using in-plane acquisitions greater than 1 mm x 1 mm and provides an opportunity to perform quantitative image analysis studies in clinical trials.

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Rozprawy doktorskie na temat "Images 2D - Modèles 3D"

Baudour, Alexis. "Détection de filaments dans des images 2D et 3D : modélisation, étude mathématique et algorithmes". Phd thesis, Université de Nice Sophia-Antipolis, 2009. http://tel.archives-ouvertes.fr/tel-00507520.

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Cette thèse aborde le problème de la modélisation et de la détection des filaments dans des images 3D. Nous avons développé des méthodes variationnelles pour quatre applications spécifiques : l'extraction de routes où nous avons introduit la notion de courbure totale pour conserver les réseaux réguliers en tolérant les discontinuités de direction ; la détection et la complétion de filaments fortement bruités et présentant des occultations. Nous avons utilisé la magnétostatique et la théorie de Ginzburg-Landau pour représenter les filaments comme ensemble de singularités d'un champ vectoriel ; la détection de filaments dans des images biologiques acquises en microscopie confocale. On modélise les filaments en tenant compte des spécificités de cette dernière. Les filaments sont alors obtenus par une méthode de maximum à posteriori ; la détection de cibles dans des séquences d'images infrarouges. Dans cette application, on cherche des trajectoires optimisant la différence de luminosité moyenne entre la trajectoire et son voisinage en tenant compte des capteurs utilisés. Par ailleurs, nous avons démontré des résultats théoriques portant sur la courbure totale et la convergence de la méthode d'Alouges associée aux systèmes de Ginzburg-Landau. Ce travail réunit à la fois modélisation, résultats théoriques et recherche d'algorithmes numériques performants permettant de traiter de réelles applications.

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Weibel, Thomas. "Modèles de minimisation d'énergies discrètes pour la cartographie cystoscopique". Phd thesis, Université de Lorraine, 2013. http://tel.archives-ouvertes.fr/tel-00866824.

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Weibel, Thomas. "Modèles de minimisation d'énergies discrètes pour la cartographie cystoscopique". Electronic Thesis or Diss., Université de Lorraine, 2013. http://www.theses.fr/2013LORR0070.

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L'objectif de cette thèse est de faciliter le diagnostic du cancer de la vessie. Durant une cystoscopie, un endoscope est introduit dans la vessie pour explorer la paroi interne de l'organe qui est visualisée sur un écran. Cependant, le faible champ de vue de l'instrument complique le diagnostic et le suivi des lésions. Cette thèse présente des algorithmes pour la création de cartes bi- et tridimensionnelles à large champ de vue à partir de vidéo-séquences cystoscopiques. En utilisant les avancées récentes dans le domaine de la minimisation d'énergies discrètes, nous proposons des fonctions coût indépendantes des transformations géométriques requises pour recaler de façon robuste et précise des paires d'images avec un faible recouvrement spatial. Ces transformations sont requises pour construire des cartes lorsque des trajectoires d'images se croisent ou se superposent. Nos algorithmes détectent automatiquement de telles trajectoires et réalisent une correction globale de la position des images dans la carte. Finalement, un algorithme de minimisation d'énergie compense les faibles discontinuités de textures restantes et atténue les fortes variations d'illuminations de la scène. Ainsi, les cartes texturées sont uniquement construites avec les meilleures informations (couleurs et textures) pouvant être extraites des données redondantes des vidéo-séquences. Les algorithmes sont évalués quantitativement et qualitativement avec des fantômes réalistes et des données cliniques. Ces tests mettent en lumière la robustesse et la précision de nos algorithmes. La cohérence visuelle des cartes obtenues dépassent celles des méthodes de cartographie de la vessie de la littérature
The aim of this thesis is to facilitate bladder cancer diagnosis. The reference clinical examination is cystoscopy, where an endoscope, inserted into the bladder, allows to visually explore the organ's internal walls on a monitor. The main restriction is the small field of view (FOV) of the instrument, which complicates lesion diagnosis, follow-up and treatment traceability.In this thesis, we propose robust and accurate algorithms to create two- and three-dimensional large FOV maps from cystoscopic video-sequences. Based on recent advances in the field of discrete energy minimization, we propose transformation-invariant cost functions, which allow to robustly register image pairs, related by large viewpoint changes, with sub-pixel accuracy. The transformations linking such image pairs, which current state-of-the-art bladder image registration techniques are unable to robustly estimate, are required to construct maps with several overlapping image trajectories. We detect such overlapping trajectories automatically and perform non-linear global map correction. Finally, the proposed energy minimization based map compositing algorithm compensates small texture misalignments and attenuates strong exposure differences. The obtained textured maps are composed by a maximum of information/quality available from the redundant data of the video-sequence. We evaluate the proposed methods both quantitatively and qualitatively on realistic phantom and clinical data sets. The results demonstrate the robustness of the algorithms, and the obtained maps outperform state-of-the-art approaches in registration accuracy and global map coherence

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Truong, Michael Vi Nguyen. "2D-3D registration of cardiac images". Thesis, King's College London (University of London), 2014. https://kclpure.kcl.ac.uk/portal/en/theses/2d3d-registration-of-cardiac-images(afef93e6-228c-4bc7-aab0-94f1e1ecf006).html.

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This thesis describes two novel catheter-based 2D-3D cardiac image registration algorithms for overlaying preoperative 3D MR or CT data onto intraoperative fluoroscopy, and fusing electroanatomical data onto clinical images. The work is intended for use in cardiac catheterisation procedures. To fulfil this objective, the algorithms must be accurate, robust and minimally disruptive to the clinical workflow. The first algorithm relies on the catheterisation of vessels of the heart and registers by minimising a vessel-radius-weighted distance between the catheters and corresponding vessel centrelines. A novelty here is a global-fit search strategy that considers all vessel branches during registration, adding robustness and avoiding manual branch selection. Another contribution to knowledge is an analysis of catheter configurations for registration. Results show that accuracy is highly dependent on the catheter configuration, and that using a coronary vessel (CV) with the aorta (Ao) was most accurate, yielding mean 3D target registration errors (TRE) between 0.55 and 7.0 mm with phantom data. Using two large-diameter vessels was least accurate, with TRE between 10 and 43 mm, and should be avoided. When applied to clinical data, registrations with the CV/Ao configuration resulted an estimated mean 2D-TRE of 5.9 mm, on average. The second 2D-3D registration algorithm extends the novelty of exploring catheter configurations by registering using catheters looped inside chambers of the heart. In phantom experiments, two-view registration yielded an average accuracy of 4.0 mm 3D-TRE (7.8-mm capture range). Using a single view, average reprojection distance was 2.7 mm (6.0-mm capture range). Application of the algorithm to a clinical dataset resulted in an estimated average 2D-TRE of 10 mm. Single view registrations are ideal when biplane X-ray acquisition is undesirable and for correcting bulk patient motion. In current practice, registration is performed manually. The algorithms in this thesis can register with comparable accuracy to manual registration, but are automated and can therefore fit better with the clinical workflow.

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Jones, Jonathan-Lee. "2D and 3D segmentation of medical images". Thesis, Swansea University, 2015. https://cronfa.swan.ac.uk/Record/cronfa42504.

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Cardiovascular disease is one of the leading causes of the morbidity and mortality in the western world today. Many different imaging modalities are in place today to diagnose and investigate cardiovascular diseases. Each of these, however, has strengths and weaknesses. There are different forms of noise and artifacts in each image modality that combine to make the field of medical image analysis both important and challenging. The aim of this thesis is develop a reliable method for segmentation of vessel structures in medical imaging, combining the expert knowledge of the user in such a way as to maintain efficiency whilst overcoming the inherent noise and artifacts present in the images. We present results from 2D segmentation techniques using different methodologies, before developing 3D techniques for segmenting vessel shape from a series of images. The main drive of the work involves the investigation of medical images obtained using catheter based techniques, namely Intra Vascular Ultrasound (IVUS) and Optical Coherence Tomography (OCT). We will present a robust segmentation paradigm, combining both edge and region information to segment the media-adventitia, and lumenal borders in those modalities respectively. By using a semi-interactive method that utilizes "soft" constraints, allowing imprecise user input which provides a balance between using the user's expert knowledge and efficiency. In the later part of the work, we develop automatic methods for segmenting the walls of lymph vessels. These methods are employed on sequential images in order to obtain data to reconstruct the vessel walls in the region of the lymph valves. We investigated methods to segment the vessel walls both individually and simultaneously, and compared the results both quantitatively and qualitatively in order obtain the most appropriate for the 3D reconstruction of the vessel wall. Lastly, we adapt the semi-interactive method used on vessels earlier into 3D to help segment out the lymph valve. This involved the user interactive method to provide guidance to help segment the boundary of the lymph vessel, then we apply a minimal surface segmentation methodology to provide segmentation of the valve.

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Huang, Hui. "Efficient reconstruction of 2D images and 3D surfaces". Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/2821.

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The goal of this thesis is to gain a deep understanding of inverse problems arising from 2D image and 3D surface reconstruction, and to design effective techniques for solving them. Both computational and theoretical issues are studied and efficient numerical algorithms are proposed. The first part of this thesis is concerned with the recovery of 2D images, e.g., de-noising and de-blurring. We first consider implicit methods that involve solving linear systems at each iteration. An adaptive Huber regularization functional is used to select the most reasonable model and a global convergence result for lagged diffusivity is proved. Two mechanisms---multilevel continuation and multigrid preconditioning---are proposed to improve efficiency for large-scale problems. Next, explicit methods involving the construction of an artificial time-dependent differential equation model followed by forward Euler discretization are analyzed. A rapid, adaptive scheme is then proposed, and additional hybrid algorithms are designed to improve the quality of such processes. We also devise methods for more challenging cases, such as recapturing texture from a noisy input and de-blurring an image in the presence of significant noise. It is well-known that extending image processing methods to 3D triangular surface meshes is far from trivial or automatic. In the second part of this thesis we discuss techniques for faithfully reconstructing such surface models with different features. Some models contain a lot of small yet visually meaningful details, and typically require very fine meshes to represent them well; others consist of large flat regions, long sharp edges (creases) and distinct corners, and the meshes required for their representation can often be much coarser. All of these models may be sampled very irregularly. For models of the first class, we methodically develop a fast multiscale anisotropic Laplacian (MSAL) smoothing algorithm. To reconstruct a piecewise smooth CAD-like model in the second class, we design an efficient hybrid algorithm based on specific vertex classification, which combines K-means clustering and geometric a priori information. Hence, we have a set of algorithms that efficiently handle smoothing and regularization of meshes large and small in a variety of situations.

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Henrichsen, Arne. "3D reconstruction and camera calibration from 2D images". Master's thesis, University of Cape Town, 2000. http://hdl.handle.net/11427/9725.

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Includes bibliographical references.
A 3D reconstruction technique from stereo images is presented that needs minimal intervention from the user. The reconstruction problem consists of three steps, each of which is equivalent to the estimation of a specific geometry group. The first step is the estimation of the epipolar geometry that exists between the stereo image pair, a process involving feature matching in both images. The second step estimates the affine geometry, a process of finding a special plane in projective space by means of vanishing points. Camera calibration forms part of the third step in obtaining the metric geometry, from which it is possible to obtain a 3D model of the scene. The advantage of this system is that the stereo images do not need to be calibrated in order to obtain a reconstruction. Results for both the camera calibration and reconstruction are presented to verify that it is possible to obtain a 3D model directly from features in the images.

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Bowden, Nathan Charles. "Camera based texture mapping: 3D applications for 2D images". Texas A&M University, 2005. http://hdl.handle.net/1969.1/2407.

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This artist??s area of research is the appropriate use of matte paintings within the context of completely computer generated films. The emphasis of research is the adaptation of analog techniques and paradigms into a digital production workspace. The purpose of this artist??s research is the development of an original method of parenting perspective projections to three-dimensional (3D) cameras, specifically tailored to result in 3D matte paintings. Research includes the demonstration of techniques combining two-dimensional (2D) paintings, 3D props and sets, as well as camera projections onto primitive geometry to achieve a convincing final composite.

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Filali, Ansary Tarik. "Indexation de modèles 3D à partir de vues 2D". Evry, Institut national des télécommunications, 2006. http://www.theses.fr/2006TELE0006.

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La gestion de grandes bases de données de modèles tridimensionnels ( utilisés dans les applications de CAD/CAO, de visualisation, de jeux , etc. ) est un domaine de grande importance. En effet, pouvoir caractériser les modèles et les retrouver facilement sont des problèmes essentiels pour les concepteurs comme pour les utilisateurs. Dans ce cadre, deux grandes approches existent : la recherche par l'exemple d'un modèle tridimensionnel et la recherche par des vues. C'est ce dernier point que nous abordons dans cette thèse. Nous nous sommes intéressés à la détermination de l'ensemble des vues caractéristiques " optimal" pour réprésenter un modèle tridimensionnel et à l'indexaion de ces modèles, à partir de ces vues. Dans cette thèse, nous avons crée une nouvelle méthode de sélection des vues carctéristiques " optimales" basée sur le critère informationnel BIC ( Bayesian information criteria). Partant du principe que toutes les vues d'un modèle 3D ne contiennent pas la même quantité d'informations, nous avons ensuite présenté un modèle probabiliste bayésien pour l'indexation qui prend en compte la probabilité d'apparition des vues et des modèles 3D. Les expériences effectuées sur la base de données de 5000 modèles 3D fournies par Renault, dans le cadre du projet RNRT SEMANTIC-3D ont démontré les bons résultats de notre méthode sur des objets mécaniques. Nous avons ensuite comparé notre méthode aux méthodes d'indexation 3D le splus récentes et les plus perfomantes sur la base de données standard de "Princeton shape benchmarck". Ces expérimentations ont mis en évidence les trés bons résultats de notre méthode comparée aux autres approches. Nous avons ensuite mis en oeuvre un moteur de recherche 3D ( accessible publiquement sur internet, via un PC ou un PDA) pour la recherche d'objets 3D à partir d'un modèle exemple, d'un dessin ou d'une ou plusieurs photos
The management of big databases of three-dimensional models ( used in CAD applications, visualization, games, etc. ) is very important domain. The ability to characterize and easily retrieve 3D models is a key issue for the designers and the final users. In this frame, two main appoaches exist : search by example of a 3D model, and search by a 2D view or photo. In this thesis we focus ont he characterization of a 3D model by a set of views ( called characteristic views), and on the indexing process of the 3D models using theses characteristic views. In this thesis, we propose a new method for the selection of the " optimal" characteristic views set based on an informational criterion ( Bayesian information criteria). Starting from fact that all the views of a model 3D do not contain the same quantity of information about 3D model, we present a new bayesian approach for the indexing of the 3D models using their views. Our approach takes into account the probability of appreance of a 3D model and the importance of each of its view. Experiments carried on a database of 5000 3D models provided by Renault, within the framework of the RNRT SEMANTIC-D, show the good results of our method on mechanical objects. We compared our method with the most recent and relevant 3D models indexing methods using the standard database " Princeton Shape Benchmark". These experiments highlighted the very good results of our method compared with the ither approaches. To access our results and permit the test of our method, we made 3D search engine available online accessible using a PC or a PDA. Our searche engine permit the search for 3D objects using an example 3D model, a drawing or one or more photographs

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Allouch, Yair. "Multi scale geometric segmentation on 2D and 3D Digital Images /". [Beer Sheva] : Ben Gurion University of the Negev, 2007. http://aranne5.lib.ad.bgu.ac.il/others/AlloucheYair.pdf.

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Książki na temat "Images 2D - Modèles 3D"

Jones, Alun Gwyn. Recovering 3D shape from 2D images. Manchester: University of Manchester, 1995.

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Edexcel, red. Art and Design.GNVQ Intermediate.Unit 1:2D and 3D Visual Language.Student Preparatory Work (Pre-seen Images). January 2003. London: Edexcel, 2001.

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Cappellini, Vito, red. Electronic Imaging & the Visual Arts. EVA 2013 Florence. Florence: Firenze University Press, 2013. http://dx.doi.org/10.36253/978-88-6655-372-4.

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Important Information Technology topics are presented: multimedia systems, data-bases, protection of data, access to the content. Particular reference is reserved to digital images (2D, 3D) regarding Cultural Institutions (Museums, Libraries, Palace – Monuments, Archaeological Sites). The main parts of the Conference Proceedings regard: Strategic Issues, EC Projects and Related Networks & Initiatives, International Forum on “Culture & Technology”, 2D – 3D Technologies & Applications, Virtual Galleries – Museums and Related Initiatives, Access to the Culture Information. Three Workshops are related to: International Cooperation, Innovation and Enterprise, Creative Industries and Cultural Tourism.

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Cappellini, Vito, red. Electronic Imaging & the Visual Arts. EVA 2015 Florence. Florence: Firenze University Press, 2015. http://dx.doi.org/10.36253/978-88-6655-759-3.

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Information Technologies of interest for Culture Heritage are presented: multimedia systems, data-bases, data protection, access to digital content, Virtual Galleries. Particular reference is reserved to digital images (Electronic Imaging & the Visual Arts), regarding Cultural Institutions (Museums, Libraries, Palace – Monuments, Archaeological Sites). The International Conference includes the following Sessions: Strategic Issues; New Technologies & Applications; New 2D-3D Technical Developments & Applications; Virtual Galleries – Museums and Related Initiatives; Access to the Culture Information. Two Workshops regard: International Cooperation; Innovation and Enterprise.

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Cappellini, Vito, red. Electronic Imaging & the Visual Arts. EVA 2014 Florence. Florence: Firenze University Press, 2014. http://dx.doi.org/10.36253/978-88-6655-573-5.

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Information Technologies of interest for Culture Heritage are presented: multimedia systems, data-bases, data protection, access to digital content, Virtual Galleries. Particular reference is reserved to digital images (Electronic Imaging & the Visual Arts), regarding Cultural Institutions (Museums, Libraries, Palace - Monuments, Archaeological Sites). The International Conference includes the following Sessions: Strategic Issues; EC Projects and Related Networks & Initiatives; 2D - 3D Technologies and Applications; Virtual Galleries - Museums and Related Initiatives; Access to the Culture Information. Three Workshops regard: International Cooperation; Innovation and Enterprise; e.Culture Cloud.

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Beolchi, L., i M. H. Kuhn. Medical Imaging: Analysis of Multimodality 2D/3D Images. IOS Press, Incorporated, 1995.

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Korites, B. J. Python Graphics: A Reference for Creating 2D and 3D Images. Apress, 2018.

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Rhoton, Albert L., Maria Peris-Celda i Francisco Martinez-Soriano. Rhoton's Atlas of Head, Neck, and Brain: 2D and 3D Images. Thieme Medical Publishers, Incorporated, 2017.

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Beoldri, Kuhn. Medical Imaging, Analysis of Multimodality 2D/3D Images (Studies in Health Technology and Informatics, 19). Ios Pr Inc, 1995.

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Fleming, Roland W., i Daniel Holtmann-Rice. “Shape From Smear”. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0017.

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Of the many mysteries of sensory perception, one of the greatest is surely our ability to see in three dimensions. While the world is 3D, the retinal images are 2D: So how does the brain work out the extra dimension? Under ordinary conditions, viewing the world with two eyes provides rich sources of information for inferring depths. However, we are also very good at working out 3D shape even from single, static photographs of objects. This chapter presents a novel illusion in which 2D patterns appear vividly 3D, revealing specific image information that the brain uses for inferring 3D shape, based on the way texture appears distorted in the image.

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Części książek na temat "Images 2D - Modèles 3D"

Nakanishi, Tomoko M. "3D Images". W Novel Plant Imaging and Analysis, 191–96. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4992-6_6.

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AbstractSpatial (3D) image construction from imaging plate (IP) images and the development of the microautography (MAR) method were presented. A rice grain was sliced every 5 μm, IP images were taken for successive slices, and the series of 2D images acquired by an IP were used to construct 3D images. In the case of 109Cd and 137Cs, the spatial distributions in the grain showed that the concentrations increased at the surface of the grain during the maturing process.

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Kimmel, Ron. "2D and 3D Image Segmentation". W Numerical Geometry of Images, 123–40. New York, NY: Springer New York, 2004. http://dx.doi.org/10.1007/978-0-387-21637-9_9.

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Wang, Yingjie, Chin-Seng Chua i Yeong-Khing Ho. "Face Recognition from 2D and 3D Images". W Lecture Notes in Computer Science, 26–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45344-x_4.

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Vansteenkiste, Ewout, Jef Vandemeulebroucke i Wilfried Philips. "2D/3D Registration of Neonatal Brain Images". W Biomedical Image Registration, 272–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11784012_33.

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Alvarez-Gutiérrez, Mariana Teresa, Aldo Rodrigo Mejía-Rodríguez, Ines Alejandro Cruz-Guerrero i Edgar Román Arce-Santana. "3D Kidney Reconstruction from 2D Ultrasound Images". W IFMBE Proceedings, 393–400. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30648-9_51.

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Taher, Hamed, Muhammad Rushdi, Muhammad Islam i Ahmed Badawi. "Adaptive Saliency-Weighted 2D-to-3D Video Conversion". W Computer Analysis of Images and Patterns, 737–48. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23117-4_63.

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Klette, Gisela. "Simple Points in 2D and 3D Binary Images". W Computer Analysis of Images and Patterns, 57–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45179-2_8.

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Sujatha, C. N., CH Pranathi, N. Hari Kumar Reddy i G. Sushma. "Generation of 3D Images from Single View 2D Images Using Autoencoder". W Advances in Computational Intelligence and Its Applications, 217–27. London: CRC Press, 2024. http://dx.doi.org/10.1201/9781003488682-28.

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Aharchi, M., i M. Ait Kbir. "A Review on 3D Reconstruction Techniques from 2D Images". W Innovations in Smart Cities Applications Edition 3, 510–22. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37629-1_37.

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di Baja, Gabriella Sanniti, Ingela Nyström i Gunilla Borgefors. "Discrete 3D Tools Applied to 2D Grey-Level Images". W Image Analysis and Processing – ICIAP 2005, 229–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11553595_28.

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Streszczenia konferencji na temat "Images 2D - Modèles 3D"

S, Vaishnavi A., i Sumana M. "Evolution of 3D images from 2D images". W 2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT). IEEE, 2021. http://dx.doi.org/10.1109/conecct52877.2021.9622698.

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Widanagamaachchi, W. N., i A. T. Dharmaratne. "3D Face Reconstruction from 2D Images". W 2008 Digital Image Computing: Techniques and Applications. IEEE, 2008. http://dx.doi.org/10.1109/dicta.2008.83.

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Wang, Patrick S. P. "3D object understanding from 2D images". W International Symposium on Multispectral Image Processing, redaktorzy Ji Zhou, Anil K. Jain, Tianxu Zhang, Yaoting Zhu, Mingyue Ding i Jianguo Liu. SPIE, 1998. http://dx.doi.org/10.1117/12.323587.

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Peng, T., K. Y. Huang, S. Y. Lu, R. A. Chen, J. Fu, H. H. Shuai i W. H. Cheng. "Eyeing3D: perceiving 3D from 2D images". W IET International Conference on Engineering Technologies and Applications (ICETA 2023). Institution of Engineering and Technology, 2023. http://dx.doi.org/10.1049/icp.2023.3227.

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Kusuma, Gede Putra, Chin-Seng Chua i Hock-Lye Toh. "Recombination of 2D and 3D Images for Multimodal 2D + 3D Face Recognition". W 2010 Fourth Pacific-Rim Symposium on Image and Video Technology (PSIVT). IEEE, 2010. http://dx.doi.org/10.1109/psivt.2010.20.

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Yueh-Ling Lin i Mao-Jiun J. Wang. "Constructing 3D human model from 2D images". W EM2010). IEEE, 2010. http://dx.doi.org/10.1109/icieem.2010.5645897.

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Raviv, D., Y. H. Pao i K. Loparo. "3D Surface Reconstruction From 2D Binary Images". W Robotics and IECON '87 Conferences, redaktorzy Wendell H. Chun i William J. Wolfe. SPIE, 1987. http://dx.doi.org/10.1117/12.968243.

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Dixit, Sunanda, Vishwas G. Pai, Vivian Claud Rodrigues, Karan Agnani i S. R. Vaishna Priyan. "3D Reconstruction of 2D X-Ray Images". W 2019 4th International Conference on Computational Systems and Information Technology for Sustainable Solution (CSITSS). IEEE, 2019. http://dx.doi.org/10.1109/csitss47250.2019.9031045.

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Maulana Akbar, Muhammad Fadil, Bedy Purnama i Edward Ferdian. "Refining Human 3D Reconstruction from 2D Images". W 2023 3rd International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA). IEEE, 2023. http://dx.doi.org/10.1109/icicyta60173.2023.10428991.

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Hadj SaÏd, M., L. Thollon, Y. Godio-Raboutet, J. H. Catherine, C. M. Chossegros i D. Tardivo. "Modélisation 3D de l’os maxillaire dans l’analyse par éléments finis en implantologie orale : une nouvelle approche utilisant CBCT et anthropométrie". W 66ème Congrès de la SFCO. Les Ulis, France: EDP Sciences, 2020. http://dx.doi.org/10.1051/sfco/20206603022.

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Objectif : Caractériser l’os maxillaire postérieur chez l’adulte d’un point de vue géométrique pour obtenir des modèles numériques standards par éléments finis. Matériel et méthodes : Les images CBCT maxillaires des patients qui ont visité le service de Chirurgie Orale du CHU de La Timone à Marseille, France ont été recueillies au cours de l’année 2016. Les sujets inclus devaient être âgés de plus de 21 ans et être édentés au moins à partir de la première prémolaire maxillaire. Les patients atteints d’une pathologie osseuse ou d’un traitement influençant le remodelage osseux n’ont pas été inclus. La zone maxillaire postérieure a été définie pour chaque CBCT et 6 mesures de hauteur et de largeur de la crête alvéolaire ont été réalisées à l’aide d’une méthode anthropométrique. Une étude Gauge Anova R&R avec analyse de la répétabilité et de la reproductibilité de la variance des mesures, ainsi qu’une analyse en composantes principales (ACP) pour isoler des modèles standards, ont été menées. Les modèles 3D ont été réalisés à partir d’images au format DICOM. Résultats : Le CBCT de 100 hommes et 100 femmes ont été retenus dans notre étude. 1200 mesures de crête alvéolaire ont été réalisée et les valeurs moyennes de hauteur et de largeur des différentes parties de la zone maxillaire postérieure étaient très disparates. L’analyse statistique de variance a validé la répétabilité et la reproductibilité de notre protocole de mesures. L’ACP n’a pas permis d’identifier les modèles standards et ceux- ci ont été modélisés à partir de notre base de données. Conclusion : Notre travail est le premier à considérer des paramètres anthropométriques sur un large échantillon de sujets dans la méthode des éléments finis. Nous mettons ainsi en évidence la perspective de réaliser des modèles anatomiques complexes et réalistes à partir de l’anatomie humaine pour réaliser des tests biomécaniques en implantologie orale.

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Raporty organizacyjne na temat "Images 2D - Modèles 3D"

Basri, Ronen, i Daphna Weinshall. Distance Metric between 3D Models and 2D Images for Recognition and Classification. Fort Belvoir, VA: Defense Technical Information Center, lipiec 1992. http://dx.doi.org/10.21236/ada260069.

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Arroyo, Marcos, Riccardo Rorato, Marco Previtali i Matteo Ciantia. 2D Image-based calibration of rolling resistance in 3D discrete element models of sand. University of Dundee, grudzień 2021. http://dx.doi.org/10.20933/100001229.

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Contact rolling resistance is the most widely used method to incorporate particle shape effects in the discrete element method (DEM). The main reason for this is that such approach allows for using spherical particles hence offering substantial computational benefits compared to non-spherical DEM models. This paper shows how rolling resistance parameters for 3D DEM models can be easily calibrated with 2D sand grain images.

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Midak, Liliia Ya, Ivan V. Kravets, Olga V. Kuzyshyn, Khrystyna V. Berladyniuk, Khrystyna V. Buzhdyhan, Liliia V. Baziuk i Aleksandr D. Uchitel. Augmented reality in process of studying astronomic concepts in primary school. [б. в.], listopad 2020. http://dx.doi.org/10.31812/123456789/4411.

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The objective of the research is development a mobile application (on the Android platform) designed for visualization of the Solar System with the AR technology and the alphabet study, applying the astronomic definitions, which can be used by the teacher and the students for an effective training for studying the subjects of the astronomic cycle in primary school. Augmented Reality cards with the images of the Solar System planets and other celestial bodies were developed, as well as the “Space alphabet” was created. In the developed alphabet every letter of the alphabet becomes a certain celestial body or a different astronomic definition. Augmented Reality gives the opportunity to visualize images of the Solar System as much as possible, in other words to convert 2D images into 3D, as well as “make them alive”. Applying this tool of ICT while studying new data gives the ability to develop and improve the pupils’ spatial thinking, “to see” the invisible and to understand the perceived information in a deeper way, which will be beneficial for its better memorizing and development of computer skills. Studying the alphabet in the offered mobile app will definitely help nail the achieved knowledge and get interesting information about celestial bodies that are invisible and superior for kids; to make a journey into the space, prepare a project on “The Space Mysteries” subject; to stimulate the development of curiosity, cognitive motivation and learning activity; the development of imagination, creative initiative, including speaking out.

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Decroux, Agnes, Kassem Kalo i Keith Swinden. PR-393-205100-R01 IRIS X-Ray CT Qualification for Flexible Pipe Inspection (Phase 1). Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), marzec 2021. http://dx.doi.org/10.55274/r0012068.

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There are several techniques available to inspect single wall carbon steel pipelines including; Magnetic flux leakage (MFL), ultrasonic testing (UT), Electro-Magnetic Acoustic Transducer (EMAT), Phased Array, guide wave testing (GWT), etc. However, for more complex structures such as flexible pipelines the technology available to inspect them is far more limited. PRCI commissioned a program (SPIM 2-1) under the Subsea TC (2017-2020) to evaluate all known and suspected technologies that could be used to provide a detailed subsea inspection of a flexible riser. PRCI produced four samples of flexible pipe containing pre-manufactured cracks and corrosion defects which were located in; the outer armour layer, inner armour layer, pressure vault and carcass. The samples were used for blind testing of all identified inspection technologies. On conclusion of the SPIM 2-1 program, HR-XCT was identified as the technology showing the most promise and a follow-on program (SPIM 2-2) was commissioned to further explore the capabilities. This report will show the way in which high resolution image clarity and image manipulation was extracted from the HR-XCT system when used on the PRCI flexible pipe samples. The XCT results from SPIM 2-2 will be presented to show the initial setup of the experiment and 2D and 3D high resolution sectioned images from the testing. These images clearly identify and characterize 100% of the pre-manufactured defects introduced into the samples in all layers.

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Habib, Ayman, Darcy M. Bullock, Yi-Chun Lin i Raja Manish. Road Ditch Line Mapping with Mobile LiDAR. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317354.

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Maintenance of roadside ditches is important to avoid localized flooding and premature failure of pavements. Scheduling effective preventative maintenance requires mapping of the ditch profile to identify areas requiring excavation of long-term sediment accumulation. High-resolution, high-quality point clouds collected by mobile LiDAR mapping systems (MLMS) provide an opportunity for effective monitoring of roadside ditches and performing hydrological analyses. This study evaluated the applicability of mobile LiDAR for mapping roadside ditches for slope and drainage analyses. The performance of alternative MLMS units was performed. These MLMS included an unmanned ground vehicle, an unmanned aerial vehicle, a portable backpack system along with its vehicle-mounted version, a medium-grade wheel-based system, and a high-grade wheel-based system. Point cloud from all the MLMS units were in agreement in the vertical direction within the ±3 cm range for solid surfaces, such as paved roads, and ±7 cm range for surfaces with vegetation. The portable backpack system that could be carried by a surveyor or mounted on a vehicle and was the most flexible MLMS. The report concludes that due to flexibility and cost effectiveness of the portable backpack system, it is the preferred platform for mapping roadside ditches, followed by the medium-grade wheel-based system. Furthermore, a framework for ditch line characterization is proposed and tested using datasets acquired by the medium-grade wheel-based and vehicle-mounted portable systems over a state highway. An existing ground filtering approach is modified to handle variations in point density of mobile LiDAR data. Hydrological analyses, including flow direction and flow accumulation, are applied to extract the drainage network from the digital terrain model (DTM). Cross-sectional/longitudinal profiles of the ditch are automatically extracted from LiDAR data and visualized in 3D point clouds and 2D images. The slope derived from the LiDAR data was found to be very close to highway cross slope design standards of 2% on driving lanes, 4% on shoulders, as well as 6-by-1 slope for ditch lines. Potential flooded regions are identified by detecting areas with no LiDAR return and a recall score of 54% and 92% was achieved by the medium-grade wheel-based and vehicle-mounted portable systems, respectively. Furthermore, a framework for ditch line characterization is proposed and tested using datasets acquired by the medium-grade wheel-based and vehicle-mounted portable systems over a state highway. An existing ground filtering approach is modified to handle variations in point density of mobile LiDAR data. Hydrological analyses, including flow direction and flow accumulation, are applied to extract the drainage network from the digital terrain model (DTM). Cross-sectional/longitudinal profiles of the ditch are automatically extracted from LiDAR data, and visualized in 3D point clouds and 2D images. The slope derived from the LiDAR data was found to be very close to highway cross slope design standards of 2% on driving lanes, 4% on shoulder, as well as 6-by-1 slope for ditch lines. Potential flooded regions are identified by detecting areas with no LiDAR return and a recall score of 54% and 92% was achieved by the medium-grade wheel-based and vehicle-mounted portable systems, respectively.

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