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Permanent link (DOI): https://doi.org/10.7939/R32X15

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3D Reconstruction of Transparent and Specular Objects Open Access

Descriptions

Other title
Subject/Keyword
Markov Random Field
Transparent and Specular Objects
Frequency Analysis
3D Reconstruction
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Liu, Ding
Supervisor and department
Yang, Herbert
Examining committee member and department
Yang, Herbert (Department of Computing Science)
Harms, Janelle (Department of Computing Science)
Basu, Anup (Department of Computing Science)
Department
Department of Computing Science
Specialization

Date accepted
2013-09-17T16:13:51Z
Graduation date
2013-11
Degree
Master of Science
Degree level
Master's
Abstract
3D reconstruction of transparent and specular objects is a very challenging topic in computer vision. The goal is to get the 3D information of the points on the surface of a transparent or specular object and accumulate the points to form the reconstructed surface. For opaque objects, the structured light methods can be used with good results. For transparent and specular objects, which have complex interior and exterior structures that can reflect and refract light in a complex fashion, it is difficult, if not impossible, to use the traditional structured light methods to do the reconstruction. In this thesis, a frequency-based 3D reconstruction method based on the frequency-based matting method is introduced. Similar to the structured light methods, a set of frequency-based patterns are projected to the object, and a camera captures the scene at the same time. Each pixel of a captured image is analyzed along the time axis and the signal is transformed to the frequency-domain using the Discrete Fourier Transformation. Since the frequency is only determined by the source that creates it, the frequency of the signal can uniquely identify the location of the pixel in the patterns. In this way, the correspondences between the pixels in the captured images and the points in the patterns can be acquired. Using a new labelling procedure developed in this research, the surface of transparent and specular objects can be reconstructed with very encouraging results.
Language
English
DOI
doi:10.7939/R32X15
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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