Texture boundary detection (or segmentation) is an important capability of the human visual system. Usually, texture segmentation is viewed as a 2D problem, as the definition of the problem itself assumes a 2D substrate. However, an interesting hypothesis emerges when we ask a question regarding the nature of textures: What are textures, and why did the ability to discriminate texture evolve or develop? A possible answer to this question is that textures naturally define physically distinct surfaces or objects, thus, we can hypothesize that 2D texture segmentation may be an outgrowth of the ability to discriminate surfaces in 3D. In this thesis, I investigated the relative difficulty of learning to segment textures in 2D vs. 3D configurations. It turns out that learning is faster and more accurate in 3D, very much in line with what was expected. Furthermore, I have shown that the learned ability to segment texture in 3D transfers well into 2D texture segmentation, but not the other way around, bolstering the initial hypothesis, and providing an alternative approach to the texture segmentation problem.

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Thesis (Ph. D.)--University of Hong Kong, 2010. / Includes bibliographical references (leaves 88-101). Also available in print.

Thesis--Utrecht. / Vita. Includes bibliographical references.

Thesis (Ph. D.)--Duquesne University, 2003. / Title from document title page. Abstract included in electronic submission form. Vita. Includes bibliographical references (p. [207]-222).

Thesis (M.S. in Psych.)--School of Psychology, Georgia Institute of Technology, 2004. Directed by Terry Maple. / Includes bibliographical references (leaves 58-69).

Thesis (Ph.D.)--York University, 2008.. Graduate Programme in Computer Science and Engineering. / Typescript. Includes bibliographical references (leaves 267-287). Also available on the Internet. MODE OF ACCESS via web browser by entering the following URL: http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:NR45988

Thesis (Th. M.)--Westminster Theological Seminary, Philadelphia, 2003. / Includes vita. Includes bibliographical references (leaves 185-188).

Thesis (M.Sc.)--York University, 1999. Graduate Programme in Biology. / Typescript. Includes bibliographical references (leaves [105-109]). Also available on the Internet. MODE OF ACCESS via web browser by entering the following URL: http://wwwlib.umi.com/cr/yorku/fullcit?pMQ56182

Thesis (Ph.D)--Psychology, Georgia Institute of Technology, 2009. / Committee Chair: Dr. Elizabeth T. Davis; Committee Member: Dr. Gregory M. Corso; Committee Member: Dr. Krishnankutty Sathian; Committee Member: Dr. Paul Corballis; Committee Member: Dr. Wendy A. Rogers. Part of the SMARTech Electronic Thesis and Dissertation Collection.