Search for dissertations about: "3D vision"
Showing result 16 - 20 of 120 swedish dissertations containing the words 3D vision.
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16. Digital Image Analysis of Cells : Applications in 2D, 3D and Time
Abstract : Light microscopes are essential research tools in biology and medicine. Cell and tissue staining methods have improved immensely over the years and microscopes are now equipped with digital image acquisition capabilities. The image data produced require development of specialized analysis methods. READ MORE
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17. Robust Estimation of Motion Parameters and Scene Geometry : Minimal Solvers and Convexification of Regularisers for Low-Rank Approximation
Abstract : In the dawning age of autonomous driving, accurate and robust tracking of vehicles is a quintessential part. This is inextricably linked with the problem of Simultaneous Localisation and Mapping (SLAM), in which one tries to determine the position of a vehicle relative to its surroundings without prior knowledge of them. READ MORE
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18. Low Rank Matrix Factorization and Relative Pose Problems in Computer Vision
Abstract : This thesis is focused on geometric computer vision problems. The first part of the thesis aims at solving one fundamental problem, namely low-rank matrix factorization. We provide several novel insights into the problem. In brief, we characterize, generate, parametrize and solve the minimal problems associated with low-rank matrix factorization. READ MORE
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19. Local visual feature based localisation and mapping by mobile robots
Abstract : This thesis addresses the problems of registration, localisation and simultaneous localisation and mapping (SLAM), relying particularly on local visual features extracted from camera images. These fundamental problems in mobile robot navigation are tightly coupled. READ MORE
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20. 3D Human Pose and Shape Estimation Based on Parametric Model and Deep Learning
Abstract : 3D human body reconstruction from monocular images has wide applications in our life, such as movie, animation, Virtual/Augmented Reality, medical research and so on. Due to the high freedom of human body in real scene and the ambiguity of inferring 3D objects from 2D images, it is a challenging task to accurately recover 3D human body models from images. READ MORE