Search for dissertations about: "point set registration"
Showing result 1 - 5 of 7 swedish dissertations containing the words point set registration.
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1. Learning Representations for Segmentation and Registration
Abstract : In computer vision, the aim is to model and extract high-level information from visual sensor measurements such as images, videos and 3D points. Since visual data is often high-dimensional, noisy and irregular, achieving robust data modeling is challenging. READ MORE
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2. 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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3. Towards Reliable and Accurate Global Structure-from-Motion
Abstract : Reconstruction of objects or scenes from sparse point detections across multiple views is one of the most tackled problems in computer vision. Given the coordinates of 2D points tracked in multiple images, the problem consists of estimating the corresponding 3D points and cameras' calibrations (intrinsic and pose), and can be solved by minimizing reprojection errors using bundle adjustment. READ MORE
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4. A Multidimensional Filtering Framework with Applications to Local Structure Analysis and Image Enhancement
Abstract : Filtering is a fundamental operation in image science in general and in medical image science in particular. The most central applications are image enhancement, registration, segmentation and feature extraction. READ MORE
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5. Distance Functions and Their Use in Adaptive Mathematical Morphology
Abstract : One of the main problems in image analysis is a comparison of different shapes in images. It is often desirable to determine the extent to which one shape differs from another. This is usually a difficult task because shapes vary in size, length, contrast, texture, orientation, etc. Shapes can be described using sets of points, crisp of fuzzy. READ MORE