Literatura académica sobre el tema "Images 2D - Modèles 3D"
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Artículos de revistas sobre el tema "Images 2D - Modèles 3D"
Djroh, Simon Pierre, Ehui Beh Jean Constantin Aka, Yacouba Ouattara, Serge P. Dégine Gnoleba, Yaba Mariana Aimée Ahade y 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, n.º 2 (24 de octubre de 2022): 437–46. http://dx.doi.org/10.4314/jcas.v18i2.4.
Texto completoWang, Yong Sheng. "Fast 3D Human Face Modeling Method Based on Multiple View 2D Images". Applied Mechanics and Materials 273 (enero de 2013): 796–99. http://dx.doi.org/10.4028/www.scientific.net/amm.273.796.
Texto completoHirano, Daisuke, Yusuke Funayama y Takashi Maekawa. "3D Shape Reconstruction from 2D Images". Computer-Aided Design and Applications 6, n.º 5 (enero de 2009): 701–10. http://dx.doi.org/10.3722/cadaps.2009.701-710.
Texto completoSzymczyk, Piotr. "Obtaining 3D information from 2D images". ELEKTRONIKA - KONSTRUKCJE, TECHNOLOGIE, ZASTOSOWANIA 1, n.º 6 (5 de junio de 2014): 49–52. http://dx.doi.org/10.15199/ele-2014-041.
Texto completoHolzleitner, Iris J., Alex L. Jones, Kieran J. O’Shea, Rachel Cassar, Vanessa Fasolt, Victor Shiramizu, Benedict C. Jones y 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, n.º 3 (26 de agosto de 2021): 209–19. http://dx.doi.org/10.1007/s40750-021-00170-8.
Texto completoDelvit, Jean-Marc y Céline L'Helguen. "Observer la Terre en 3D avec Pléiades-HR". Revue Française de Photogrammétrie et de Télédétection, n.º 209 (29 de enero de 2015): 11–16. http://dx.doi.org/10.52638/rfpt.2015.155.
Texto completoNomura, Kosuke, Mitsuru Kaise, Daisuke Kikuchi, Toshiro Iizuka, Yumiko Fukuma, Yasutaka Kuribayashi, Masami Tanaka et al. "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.
Texto completoSun, Haoran. "A Review of 3D-2D Registration Methods and Applications based on Medical Images". Highlights in Science, Engineering and Technology 35 (11 de abril de 2023): 200–224. http://dx.doi.org/10.54097/hset.v35i.7055.
Texto completoLogadottir, A., S. Korreman y P. M. Petersen. "COMPARISON OF PROSTATE LOCALIZATION WITH 2D-2D AND 3D IMAGES". Radiotherapy and Oncology 92 (agosto de 2009): S179—S180. http://dx.doi.org/10.1016/s0167-8140(12)73061-x.
Texto completoBrownhill, Daniel, Yachin Chen, Barbara A. K. Kreilkamp, Christophe de Bezenac, Christine Denby, Martyn Bracewell, Shubhabrata Biswas, Kumar Das, Anthony G. Marson y Simon S. Keller. "Automated subcortical volume estimation from 2D MRI in epilepsy and implications for clinical trials". Neuroradiology 64, n.º 5 (18 de octubre de 2021): 935–47. http://dx.doi.org/10.1007/s00234-021-02811-x.
Texto completoTesis sobre el tema "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.
Texto completoWeibel, Thomas. "Modèles de minimisation d'énergies discrètes pour la cartographie cystoscopique". Phd thesis, Université de Lorraine, 2013. http://tel.archives-ouvertes.fr/tel-00866824.
Texto completoWeibel, Thomas. "Modèles de minimisation d'énergies discrètes pour la cartographie cystoscopique". Electronic Thesis or Diss., Université de Lorraine, 2013. http://www.theses.fr/2013LORR0070.
Texto completoThe 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
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.
Texto completoJones, Jonathan-Lee. "2D and 3D segmentation of medical images". Thesis, Swansea University, 2015. https://cronfa.swan.ac.uk/Record/cronfa42504.
Texto completoHuang, Hui. "Efficient reconstruction of 2D images and 3D surfaces". Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/2821.
Texto completoHenrichsen, Arne. "3D reconstruction and camera calibration from 2D images". Master's thesis, University of Cape Town, 2000. http://hdl.handle.net/11427/9725.
Texto completoA 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.
Bowden, Nathan Charles. "Camera based texture mapping: 3D applications for 2D images". Texas A&M University, 2005. http://hdl.handle.net/1969.1/2407.
Texto completoFilali, Ansary Tarik. "Indexation de modèles 3D à partir de vues 2D". Evry, Institut national des télécommunications, 2006. http://www.theses.fr/2006TELE0006.
Texto completoThe 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
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.
Texto completoLibros sobre el tema "Images 2D - Modèles 3D"
Jones, Alun Gwyn. Recovering 3D shape from 2D images. Manchester: University of Manchester, 1995.
Buscar texto completoEdexcel, ed. Art and Design.GNVQ Intermediate.Unit 1:2D and 3D Visual Language.Student Preparatory Work (Pre-seen Images). January 2003. London: Edexcel, 2001.
Buscar texto completoCappellini, Vito, ed. Electronic Imaging & the Visual Arts. EVA 2013 Florence. Florence: Firenze University Press, 2013. http://dx.doi.org/10.36253/978-88-6655-372-4.
Texto completoCappellini, Vito, ed. Electronic Imaging & the Visual Arts. EVA 2015 Florence. Florence: Firenze University Press, 2015. http://dx.doi.org/10.36253/978-88-6655-759-3.
Texto completoCappellini, Vito, ed. Electronic Imaging & the Visual Arts. EVA 2014 Florence. Florence: Firenze University Press, 2014. http://dx.doi.org/10.36253/978-88-6655-573-5.
Texto completoBeolchi, L. y M. H. Kuhn. Medical Imaging: Analysis of Multimodality 2D/3D Images. IOS Press, Incorporated, 1995.
Buscar texto completoKorites, B. J. Python Graphics: A Reference for Creating 2D and 3D Images. Apress, 2018.
Buscar texto completoRhoton, Albert L., Maria Peris-Celda y Francisco Martinez-Soriano. Rhoton's Atlas of Head, Neck, and Brain: 2D and 3D Images. Thieme Medical Publishers, Incorporated, 2017.
Buscar texto completoBeoldri, Kuhn. Medical Imaging, Analysis of Multimodality 2D/3D Images (Studies in Health Technology and Informatics, 19). Ios Pr Inc, 1995.
Buscar texto completoFleming, Roland W. y Daniel Holtmann-Rice. “Shape From Smear”. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0017.
Texto completoCapítulos de libros sobre el tema "Images 2D - Modèles 3D"
Nakanishi, Tomoko M. "3D Images". En Novel Plant Imaging and Analysis, 191–96. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4992-6_6.
Texto completoKimmel, Ron. "2D and 3D Image Segmentation". En 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.
Texto completoWang, Yingjie, Chin-Seng Chua y Yeong-Khing Ho. "Face Recognition from 2D and 3D Images". En Lecture Notes in Computer Science, 26–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45344-x_4.
Texto completoVansteenkiste, Ewout, Jef Vandemeulebroucke y Wilfried Philips. "2D/3D Registration of Neonatal Brain Images". En Biomedical Image Registration, 272–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11784012_33.
Texto completoAlvarez-Gutiérrez, Mariana Teresa, Aldo Rodrigo Mejía-Rodríguez, Ines Alejandro Cruz-Guerrero y Edgar Román Arce-Santana. "3D Kidney Reconstruction from 2D Ultrasound Images". En IFMBE Proceedings, 393–400. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30648-9_51.
Texto completoTaher, Hamed, Muhammad Rushdi, Muhammad Islam y Ahmed Badawi. "Adaptive Saliency-Weighted 2D-to-3D Video Conversion". En 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.
Texto completoKlette, Gisela. "Simple Points in 2D and 3D Binary Images". En 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.
Texto completoSujatha, C. N., CH Pranathi, N. Hari Kumar Reddy y G. Sushma. "Generation of 3D Images from Single View 2D Images Using Autoencoder". En Advances in Computational Intelligence and Its Applications, 217–27. London: CRC Press, 2024. http://dx.doi.org/10.1201/9781003488682-28.
Texto completoAharchi, M. y M. Ait Kbir. "A Review on 3D Reconstruction Techniques from 2D Images". En 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.
Texto completodi Baja, Gabriella Sanniti, Ingela Nyström y Gunilla Borgefors. "Discrete 3D Tools Applied to 2D Grey-Level Images". En Image Analysis and Processing – ICIAP 2005, 229–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11553595_28.
Texto completoActas de conferencias sobre el tema "Images 2D - Modèles 3D"
S, Vaishnavi A. y Sumana M. "Evolution of 3D images from 2D images". En 2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT). IEEE, 2021. http://dx.doi.org/10.1109/conecct52877.2021.9622698.
Texto completoWidanagamaachchi, W. N. y A. T. Dharmaratne. "3D Face Reconstruction from 2D Images". En 2008 Digital Image Computing: Techniques and Applications. IEEE, 2008. http://dx.doi.org/10.1109/dicta.2008.83.
Texto completoWang, Patrick S. P. "3D object understanding from 2D images". En International Symposium on Multispectral Image Processing, editado por Ji Zhou, Anil K. Jain, Tianxu Zhang, Yaoting Zhu, Mingyue Ding y Jianguo Liu. SPIE, 1998. http://dx.doi.org/10.1117/12.323587.
Texto completoPeng, T., K. Y. Huang, S. Y. Lu, R. A. Chen, J. Fu, H. H. Shuai y W. H. Cheng. "Eyeing3D: perceiving 3D from 2D images". En 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.
Texto completoKusuma, Gede Putra, Chin-Seng Chua y Hock-Lye Toh. "Recombination of 2D and 3D Images for Multimodal 2D + 3D Face Recognition". En 2010 Fourth Pacific-Rim Symposium on Image and Video Technology (PSIVT). IEEE, 2010. http://dx.doi.org/10.1109/psivt.2010.20.
Texto completoYueh-Ling Lin y Mao-Jiun J. Wang. "Constructing 3D human model from 2D images". En EM2010). IEEE, 2010. http://dx.doi.org/10.1109/icieem.2010.5645897.
Texto completoRaviv, D., Y. H. Pao y K. Loparo. "3D Surface Reconstruction From 2D Binary Images". En Robotics and IECON '87 Conferences, editado por Wendell H. Chun y William J. Wolfe. SPIE, 1987. http://dx.doi.org/10.1117/12.968243.
Texto completoDixit, Sunanda, Vishwas G. Pai, Vivian Claud Rodrigues, Karan Agnani y S. R. Vaishna Priyan. "3D Reconstruction of 2D X-Ray Images". En 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.
Texto completoMaulana Akbar, Muhammad Fadil, Bedy Purnama y Edward Ferdian. "Refining Human 3D Reconstruction from 2D Images". En 2023 3rd International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA). IEEE, 2023. http://dx.doi.org/10.1109/icicyta60173.2023.10428991.
Texto completoHadj SaÏd, M., L. Thollon, Y. Godio-Raboutet, J. H. Catherine, C. M. Chossegros y D. Tardivo. "Modélisation 3D de l’os maxillaire dans l’analyse par éléments finis en implantologie orale : une nouvelle approche utilisant CBCT et anthropométrie". En 66ème Congrès de la SFCO. Les Ulis, France: EDP Sciences, 2020. http://dx.doi.org/10.1051/sfco/20206603022.
Texto completoInformes sobre el tema "Images 2D - Modèles 3D"
Basri, Ronen y Daphna Weinshall. Distance Metric between 3D Models and 2D Images for Recognition and Classification. Fort Belvoir, VA: Defense Technical Information Center, julio de 1992. http://dx.doi.org/10.21236/ada260069.
Texto completoArroyo, Marcos, Riccardo Rorato, Marco Previtali y Matteo Ciantia. 2D Image-based calibration of rolling resistance in 3D discrete element models of sand. University of Dundee, diciembre de 2021. http://dx.doi.org/10.20933/100001229.
Texto completoMidak, Liliia Ya, Ivan V. Kravets, Olga V. Kuzyshyn, Khrystyna V. Berladyniuk, Khrystyna V. Buzhdyhan, Liliia V. Baziuk y Aleksandr D. Uchitel. Augmented reality in process of studying astronomic concepts in primary school. [б. в.], noviembre de 2020. http://dx.doi.org/10.31812/123456789/4411.
Texto completoDecroux, Agnes, Kassem Kalo y 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), marzo de 2021. http://dx.doi.org/10.55274/r0012068.
Texto completoHabib, Ayman, Darcy M. Bullock, Yi-Chun Lin y Raja Manish. Road Ditch Line Mapping with Mobile LiDAR. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317354.
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