Search for dissertations about: "Minimal art"
Showing result 1 - 5 of 31 swedish dissertations containing the words Minimal art.
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1. Out of Minimalism
Abstract : The dissertation involves a threefold investigation of sculpture. Firstly, the interpretations are focused on particular artworks by three British sculptors: Antony Gormley (b. 1950), Anish Kapoor (b. 1954), and Rachel Whiteread (b. READ MORE
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2. Computational Methods for Computer Vision : Minimal Solvers and Convex Relaxations
Abstract : Robust fitting of geometric models is a core problem in computer vision. The most common approach is to use a hypothesize-and-test framework, such as RANSAC. In these frameworks the model is estimated from as few measurements as possible, which minimizes the risk of selecting corrupted measurements. READ MORE
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3. Numerical Methods for Geometric Vision: From Minimal to Large Scale Problems
Abstract : This thesis presents a number of results and algorithms for the numerical solution of problems in geometric computer vision. In geometric computer vision one tries to extract geometric information about the world and the observer from a sequence of images. READ MORE
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4. 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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5. Applications in Monocular Computer Vision using Geometry and Learning : Map Merging, 3D Reconstruction and Detection of Geometric Primitives
Abstract : As the dream of autonomous vehicles moving around in our world comes closer, the problem of robust localization and mapping is essential to solve. In this inherently structured and geometric problem we also want the agents to learn from experience in a data driven fashion. READ MORE