Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 7 of 7 for “"shape completion"”.
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Learning viewer-centered projections for 3D shape completion
… to determine the effectiveness of different 3D shape representations in learning to generate volumetric shapes using deep neural networks. We propose to automatically reconstruct a 3D model from a single-view image of an object by synthesizing multiple depth images and inferring the volume …
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Virtual-Real Object Registration and Shape Completion for Stable and Accurate Augmented Reality Technology
… from monocular images and a 3D point cloud completion network to recover the missing data from the generated 3D point clouds. The experimental results show that this computational framework can generate dense 3D point clouds of real endoscopic images and recover high-quality 3D point clouds …
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Generative adversarial modeling of 3D shapes
Given a 3D shape, humans are capable of telling whether it looks natural. This shape priors, namely the perception of whether a shape looks realistic, are formed over years of our interactions with surrounding 3D objects, and go beyond simple definition of objects. In this thesis, we propose two …
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Low-rank Based Algorithms for Rectification, Repetition Detection and De-noising in Urban Images
… visualization in 3D map environments, shape completion, cinematography and 3D games. However both of the image rectification and repeated patterns detection problems are challenging due to scene occlusions, varying illumination, pose variation and sensor noise. Therefore, detection of …
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Probabilistic procrustean models for shape recognition with an application to robotic grasping
… In this thesis, we will attempt to model the shapes of objects in a way that is robust to both deformations and occlusions. In addition, we will develop a model that allows us to recover the hidden parts of occluded objects (shape completion), and which maintains information about the object …
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3D Deep Learning for Object-Centric Geometric Perception
… of 3D objects. These attributes include shape, pose, and motion of the target objects, which enable fine-grained object-level understanding for various tasks in graphics, computer vision, and robotics. With the growth of 3D geometry data and 3D deep learning methods, it becomes more and …
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Holistic indoor scene understanding, modelling and reconstruction from single images.
… (i.e. location of walls, ceiling and floor), shape of in-room objects, and a camera pose of observer. This thesis focuses on the problem of holistic 3D scene understanding from single images to model or reconstruct the in- door geometry with enriched scene semantics. This challenging task …