Дисертації з теми "3D Depth Model"
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Sexton, Paul. "3D velocity-depth model building using surface seismic and well data." Thesis, Durham University, 1998. http://etheses.dur.ac.uk/4824/.
Повний текст джерелаBIAGIOLI, ELISA. "Depth-averaged and 3D Finite Volume numerical models for viscous fluids, with application to the simulation of lava flows." Doctoral thesis, Università degli studi di Genova, 2021. http://hdl.handle.net/11567/1057651.
Повний текст джерелаSankoh, Hiroshi. "Object Extraction for Virtual-viewpoint Video Synthesis." 京都大学 (Kyoto University), 2015. http://hdl.handle.net/2433/200465.
Повний текст джерелаHua, Xiaoben, and Yuxia Yang. "A Fusion Model For Enhancement of Range Images." Thesis, Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2203.
Повний текст джерелаRoom 401, No.56, Lane 21, Yin Gao Road, Shanghai, China
Diskin, Yakov. "Dense 3D Point Cloud Representation of a Scene Using Uncalibrated Monocular Vision." University of Dayton / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1366386933.
Повний текст джерелаStålberg, Martin. "Reconstruction of trees from 3D point clouds." Thesis, Uppsala universitet, Avdelningen för systemteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-316833.
Повний текст джерелаGrankvist, Ola. "Recognition and Registration of 3D Models in Depth Sensor Data." Thesis, Linköpings universitet, Datorseende, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-131452.
Повний текст джерелаSemmens, Stephen Bradley. "An Engineering Geological Investigation of the Seismic Subsoil Classes in the Central Wellington Commercial Area." Thesis, University of Canterbury. Geological Sciences, 2010. http://hdl.handle.net/10092/4287.
Повний текст джерелаHasnat, Md Abul. "Unsupervised 3D image clustering and extension to joint color and depth segmentation." Thesis, Saint-Etienne, 2014. http://www.theses.fr/2014STET4013/document.
Повний текст джерелаAccess to the 3D images at a reasonable frame rate is widespread now, thanks to the recent advances in low cost depth sensors as well as the efficient methods to compute 3D from 2D images. As a consequence, it is highly demanding to enhance the capability of existing computer vision applications by incorporating 3D information. Indeed, it has been demonstrated in numerous researches that the accuracy of different tasks increases by including 3D information as an additional feature. However, for the task of indoor scene analysis and segmentation, it remains several important issues, such as: (a) how the 3D information itself can be exploited? and (b) what is the best way to fuse color and 3D in an unsupervised manner? In this thesis, we address these issues and propose novel unsupervised methods for 3D image clustering and joint color and depth image segmentation. To this aim, we consider image normals as the prominent feature from 3D image and cluster them with methods based on finite statistical mixture models. We consider Bregman Soft Clustering method to ensure computationally efficient clustering. Moreover, we exploit several probability distributions from directional statistics, such as the von Mises-Fisher distribution and the Watson distribution. By combining these, we propose novel Model Based Clustering methods. We empirically validate these methods using synthetic data and then demonstrate their application for 3D/depth image analysis. Afterward, we extend these methods to segment synchronized 3D and color image, also called RGB-D image. To this aim, first we propose a statistical image generation model for RGB-D image. Then, we propose novel RGB-D segmentation method using a joint color-spatial-axial clustering and a statistical planar region merging method. Results show that, the proposed method is comparable with the state of the art methods and requires less computation time. Moreover, it opens interesting perspectives to fuse color and geometry in an unsupervised manner. We believe that the methods proposed in this thesis are equally applicable and extendable for clustering different types of data, such as speech, gene expressions, etc. Moreover, they can be used for complex tasks, such as joint image-speech data analysis
Nosjean, Nicolas. "Management et intégration des risques et incertitudes pour le calcul de volumes de roches et de fluides au sein d’un réservoir, zoom sur quelques techniques clés d’exploration Integrated Post-stack Acoustic Inversion Case Study to Enhance Geological Model Description of Upper Ordovicien Statics : from imaging to interpretation pitfalls and an efficient way to overcome them Improving Upper Ordovician reservoir characterization - an Algerian case study Tracking Fracture Corridors in Tight Gas Reservoirs : An Algerian Case Study Integrated sedimentological case study of glacial Ordovician reservoirs in the Illizi Basin, Algeria A Case Study of a New Time-Depth Conversion Workflow Designed for Optimizing Recovery Proper Systemic Knowledge of Reservoir Volume Uncertainties in Depth Conversion Integration of Fault Location Uncertainty in Time to Depth Conversion Emergence of edge scenarios in uncertainty studies for reservoir trap analysis Enhancing geological model with the use of Spectral Decomposition - A case study of a prolific stratigraphic play in North Viking Graben, Norway Fracture corridor identification through 3D multifocusing to improve well deliverability, an Algerian tight reservoir case study Geological Probability Of Success Assessment for Amplitude-Driven Prospects, A Nile Delta Case Study." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPASS085.
Повний текст джерелаIn the last 20 years, I have been conducting various research projects focused on the management of risks and uncertainties in the petroleum exploration domain. The various research projects detailed in this thesis are dealing with problematics located throughout the whole Exploration and Production chain, from seismic acquisition and processing, until the optimal exploration to development wells placement. Focus is made on geophysical risks and uncertainties, where these problematics are the most pronounced and paradoxically the less worked in the industry. We can subdivide my research projects into tree main axes, which are following the hydrocarbon exploration process, namely: seismic processing, seismic interpretation thanks to the integration with various well informations, and eventually the analysis and extraction of key uncertainties, which will be the basis for the optimal calculation of in place and recoverable volumes, in addition to the associated risk analysis on a given target structure. The various research projects that are detailed in this thesis have been applied successfully on operational North Africa and North Sea projects. After introducing risks and uncertainty notions, we will detail the exploration process and the key links with these issues. I will then present four major research projects with their theoretical aspects and applied case study on an Algerian asset
Yeh, Yen-Ting, and 葉彥廷. "On Generating Vehicle Surrounding Images Based on Depth-Adaptive 3D Model." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/43490970816309709013.
Повний текст джерела國立臺灣大學
資訊網路與多媒體研究所
102
Driving assistance systems help drivers to avoid car accidents by provid-ing warning signals or visual cues of surrounding situations. Instead of the fixed bird’s-eye view monitoring proposed in many previous works, we de-veloped a real-time vehicle surrounding monitoring system, ”Angel Eye”, that can assist drivers to perceive the vehicle surrounding situations more easily. In our system, four fisheye cameras are mounted around a vehicle. To inte-grate these four fisheye camera views, we firstly use fisheye camera calibra-tion method to dewarp the captured images into perspective projection ones. Then, we calculated the camera intrinsic parameters and homography trans-form matrix to get the camera extrinsic parameters. To stitch these dewarpped images, we projected undistorted images into a 3D hybrid projection model and finally the images of the selected viewpoint are rendered. However, the unknown position of foreground obstacles would cause some visual noises, like image distortion of objects or ghost effect. So we add depth camera into previous system to obtain the depth information of foreground obstacles. The proposed 3D model can be adjusted based on the distance between vehicle and foreground obstacles. The depth-adaptive model can fa-cilitate the rendering of vehicle surroundings in a more realistic and correct way.
Lin, Ping-hsien, and 林秉賢. "3D Model Retrieval Based on Projection Depth Maps and Moment Invariants." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/93475608681812372590.
Повний текст джерела國立臺南大學
數位學習科技學系碩士班
98
In this study, we purpose a new content-based approach to retrieving 3D models from a database, based on projection depth maps and moment invariants. Our system can be divided into offline and online stages. In the offline stage, the location and size of each model is normalized first. For each normalized model and its circumscribed dodecahedron, sixty projection depth maps are obtained at the twenty vertices and with three directions. Afterward, 2D and 3D moment invariants are computed for each map and constitute two feature vectors respectively. In the online stage, a user can choose a 3D model as the query. Our system can match the query with each 3D model in the database and reply the most similar models within 1 second. If a user inputs a binary image as the query, our system can extract 2D moment invariants from the query and perform partial matching with each 3D model. A logarithmic searching strategy is proposed to improve the efficiency of partial matching. Accordingly, the 3D models with through similar projection maps will be retrieved. Experimental results show that the proposed approach is effective and efficient.
HUNG, CHIEN-YU, and 洪千喻. "Using Handheld Depth Sensor for 3D Model Reconstruction and Augmented Reality Application." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/m2fvhr.
Повний текст джерела國立臺北大學
不動產與城鄉環境學系
107
In recent years, 3D modeling technology has developed rapidly, and the application has become increasingly diverse, such as virtual reality and augment reality. While the acquisition of 3d information, such as the passive sensing of photogrammetry and multi-angle image modeling based on computer vision, and the active sensing of LiDAR etc., have their own advantages and disadvantages, like the modeling of passive sensing is difficult in the area with insufficient feature points, and the high-precision active sensing instrument is expensive. This study uses Occipital Structure Sensor as the test instrument, which is an active infrared ray range finder and can be attached to the mobile device. The product has corresponding development software, which is both convenient and economical. However, it is necessary to understand the 3D model precision constructed by Structure Sensor, in order to understand the applicable fields, limitations and problems. In this study, the volume value and the distance of feature points were calculated as the 3D accuracy evaluation method, and a 3D point cloud was obtained by using Skannect software. After reconstruction of the point cloud model, the volume and the distance of feature points were calculated using The Maximum Likelihood Estimation Sample Consensus (MLESAC) to extract the model with geometric significance (square body, sphere and cylinder) . The experiment shows that the 3D model volume error of the Structure Sensor construction is in the range of 1.69% ~ 5.30%, and the feature point distance error is 1.09% ~ 2.64%.This method is convenient to obtain 3D information, and also provides another 3D modeling choice for texture-less object in the future. In terms of the application of the 3D model, this study established the augmented reality application of teaching level’s operational process through Google ARCore and game development engine Unity. Through this research process, the level model was built and the point-select sliding function of each part of the level was designed to provide simulation operation experience and improve the application of 3D modeling.
Yeh, Ming-han, and 葉名翰. "Efficient 3D Video Coding for Depth Image Using D-NOSE Model-based Optimal Modification." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/9hx67r.
Повний текст джерела國立臺灣科技大學
資訊工程系
100
Depth distortions caused by depth video coding which is required for storage and transmission considerations may cause geometry changes in view synthesis. However, for the depth value of each pixel, there exists a range within which no geometry changes will be observed. We propose an efficient 3D video coding which, for each pixel in the macroblock, modifies, without inducing any geometry change, the depth value to minimize the residual. Experiment results show that the proposed method substantially reduces the bitrate while preserving the quality of the rendered image.
Liu, Han-wen, and 劉瀚文. "2D-to-3D Conversion for a Single Image Based on Background Depth Model Estimation." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/18242030438995254678.
Повний текст джерелаNguyen, Trong Nguyen. "Analysis of 3D human gait reconstructed with a depth camera and mirrors." Thèse, 2019. http://hdl.handle.net/1866/23439.
Повний текст джерелаThe problem of assessing human gaits has received a great attention in the literature since gait analysis is one of key components in healthcare. Marker-based and multi-camera systems are widely employed to deal with this problem. However, such systems usually require specific equipments with high price and/or high computational cost. In order to reduce the cost of devices, we focus on a system of gait analysis which employs only one depth sensor. The principle of our work is similar to multi-camera systems, but the collection of cameras is replaced by one depth sensor and mirrors. Each mirror in our setup plays the role of a camera which captures the scene at a different viewpoint. Since we use only one camera, the step of synchronization can thus be avoided and the cost of devices is also reduced. Our studies can be separated into two categories: 3D reconstruction and gait analysis. The result of the former category is used as the input of the latter one. Our system for 3D reconstruction is built with a depth camera and two mirrors. Two types of depth sensor, which are distinguished based on the scheme of depth estimation, have been employed in our works. With the structured light (SL) technique integrated into the Kinect 1, we perform the 3D reconstruction based on geometrical optics. In order to increase the level of details of the 3D reconstructed model, the Kinect 2 with time-of-flight (ToF) depth measurement is used for image acquisition instead of the previous generation. However, due to multiple reflections on the mirrors, depth distortion occurs in our setup. We thus propose a simple approach for reducing such distortion before applying geometrical optics to reconstruct a point cloud of the 3D object. For the task of gait analysis, we propose various alternative approaches focusing on the problem of gait normality/symmetry measurement. They are expected to be useful for clinical treatments such as monitoring patient's recovery after surgery. These methods consist of model-free and model-based approaches that have different cons and pros. In this dissertation, we present 3 methods that directly process point clouds reconstructed from the previous work. The first one uses cross-correlation of left and right half-bodies to assess gait symmetry while the other ones employ deep auto-encoders to measure gait normality.
Su, Che-Chun. "Applied statistical modeling of three-dimensional natural scene data." Thesis, 2014. http://hdl.handle.net/2152/24878.
Повний текст джерелаtext
Hu, Shang-Jen, and 胡尚仁. "Controlling depth perception for rendering stereoscopic 3D models." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/46338257466247793428.
Повний текст джерела國立臺灣科技大學
色彩與照明科技研究所
101
Recently, the development of the stereo display technology progresses fast. However, less three-dimensional software provides quality stereoscopic render. In using this kind of software, users sometimes have discomfort experience when viewing stereoscopic 3D models. So, producing quality stereoscopic 3D technology becomes an important issue. Usually, user adjusts the camera position by him or herself when viewing stereoscopic models. Amateur will provoke eye fatigue and feel uncomfortable under improper camera parameters. Therefore, we test the effect of different visual stereo camera’s parameters and parallax distributions. We will propose a stereoscopic camera adjustment algorithm for improving visual comfort and preference of stereoscopic images. In this paper, we carry out a virtual stereoscopic camera system, which has different positions, convergence angles, and parallax distributions, in OpenGL. When users use this system, the vast majority of the parallax will be constrained in the safe range. It is helpful to improve 3D visual comfort and make 3D display popular.
Vitale, Andrea. "Multiscale inversion of potential fields: from 1D to 3D depth-weighted models." Tesi di dottorato, 2019. http://www.fedoa.unina.it/12726/1/vitale_andrea_31.pdf.
Повний текст джерелаLeite, Inês de Sousa Caldas Rodrigues. "Recognition and 6 DoF Pose Estimation of 3D Models in Depth Sensor Data." Master's thesis, 2018. https://repositorio-aberto.up.pt/handle/10216/116531.
Повний текст джерелаLeite, Inês de Sousa Caldas Rodrigues. "Recognition and 6 DoF Pose Estimation of 3D Models in Depth Sensor Data." Dissertação, 2018. https://repositorio-aberto.up.pt/handle/10216/116531.
Повний текст джерелаPattani, Varun Paresh. "Understanding cell death response to gold nanoparticle-mediated photothermal therapy in 2D and 3D in vitro tumor models for improving cancer therapy." 2013. http://hdl.handle.net/2152/23106.
Повний текст джерелаtext
Villa, C., Jo Buckberry, C. Cattaneo, B. Frohlich, and N. Lynnerup. "Quantitative analysis of the morphological changes of the pubic symphyseal face and the auricular surface and implications for age at death estimation." 2015. http://hdl.handle.net/10454/7176.
Повний текст джерелаAge estimation methods are often based on the age-related morphological changes of the auricular surface and the pubic bone. In this study, a mathematical approach to quantify these changes has been tested analyzing the curvature variation on 3D models from CT and laser scans. The sample consisted of the 24 Suchey–Brooks (SB) pubic bone casts, 19 auricular surfaces from the Buckberry and Chamberlain (BC) “recording kit” and 98 pelvic bones from the Terry Collection (Smithsonian Institution). Strong and moderate correlations between phases and curvature were found in SB casts (ρ 0.60–0.93) and BC “recording kit” (ρ 0.47–0.75), moderate and weak correlations in the Terry Collection bones (pubic bones: ρ 0.29–0.51, auricular surfaces: ρ 0.33–0.50) but associated with large individual variability and overlap of curvature values between adjacent decades. The new procedure, requiring no expert judgment from the operator, achieved similar correlations that can be found in the classic methods.