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Title Surface Estimation from Multiple Images
Author Kessel, Mads
Supervisor Aanæs, Henrik (Department of Informatics and Mathematical Modeling, Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark)
Institution Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark
Thesis level Master's thesis
Year 2006
Abstract This thesis presents an overview of the general problem of surface estimation from 2D images. It describes the currently known approaches, and states the pros and cons of them. An algorithm proposed by Vogiatzis, using deformable models in a Bayes framework for estimating the surface from a set of images with known intrinsic and extrinsic parameters, is thoroughly described and reflected upon. The algorithm is implemented in C++ using OpenGL and the OpenGL Shading Language to help performance. A number of deviations to the work of Vogiatzis is proposed and implemented as well. The implementation is thoroughly tested in both a synthetic environment, where the ground truth is known, and using several real world datasets. The result is used to conclude on the algorithm by Vogiatzis, and the proposed deviations to it. Several conceptually new proposals are described, some of which has been implemented and evaluated.
Imprint Department of Informatics and Mathematical Modeling, Technical University of Denmark, DTU : DK-2800 Kgs. Lyngby, Denmark
Pages 188
Keywords Surface estimation; 3D Reconstruction; Structure from Motion,|Deformable Models; Simulated Annealing; Bayes analysis; OpenGL; GPGPU; Image Metric; Surface constraints; Mesh Simplification
Fulltext
Original PDF imm4531.pdf (4.05 MB)
Admin Creation date: 2006-10-06    Update date: 2012-12-18    Source: dtu    ID: 191647    Original MXD