Search for dissertations about: "multiple view geometry"
Showing result 1 - 5 of 13 swedish dissertations containing the words multiple view geometry.
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1. Geometry and Critical Configurations of Multiple Views
Abstract : This thesis is concerned with one of the core problems in computer vision, namely to reconstruct a real world scene from several images of it. The interplay between the geometry of the scene, the cameras and the images is analyzed. READ MORE
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2. Visual Object Tracking and Classification Using Multiple Sensor Measurements
Abstract : Multiple sensor measurement has gained in popularity for computer vision tasks such as visual object tracking and visual pattern classification. The main idea is that multiple sensors may provide rich and redundant information, due to wide spatial or frequency coverage of the scene, which is advantageous over single sensor measurement in learning object model/feature and inferring target state/attribute in complex scenarios. READ MORE
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3. Robust Algorithms for Multiple View Geometry: Outliers and Optimality
Abstract : This thesis is concerned with the geometrical parts of computer vision, or more precisely, with the three-dimensional geometry. The overall aim is to extract geometric information from a set of images. Most methods for estimating the geometry of multiple views rely on the existence of robust solvers for a set of basic problems. READ MORE
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4. Invariancy Methods for Points, Curves and Surfaces in Computational Vision
Abstract : Many issues in computational vision can be understood from the interplay between camera geometry and the structure of images and objects. Typically, the image structure is available and the goal is to reconstruct object structure and camera geometry. This is often difficult due to the complex interdependence between these three entities. READ MORE
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5. Global Optimization in Computer Vision: Convexity, Cuts and Approximation Algorithms
Abstract : Computer vision is today a wide research area including topics like robot vision, image analysis, pattern recognition, medical imaging and geometric reconstruction problems. Over the past decades there has been a rapid development in understanding and modeling different computer vision applications. READ MORE