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oai:www.ideals.illinois.edu:2142/80878 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Kumar, P.R. Ma, Yi Huang, Kun 2015-09-25T20:08:36Z 2015-09-25T20:08:36Z 10000-01-01 2004 2004 In this dissertation I study both the theoretical and practical issues in building a large scale system with distributed visual sensors. I have developed a unified algebraic approach for studying the structure-from-motion problem, which is a set of rank conditions on the multiple-view matrices of image features. This approach can be applied to characterize the algebraic conditions governing the multiple views of any type of image features and any kind of incidence relations. A set of linear iterative 3-D reconstruction algorithms have been developed based on this approach. It has also been generalized to the case of dynamical scenes and 3-D reconstruction from a single image of symmetric objects. In addition to the theory, I have studied three important practical issues: large-baseline feature matching, motion segmentation, and visual sensor synchronization. For feature matching, I developed an algorithm based on a graph theoretical approach, which uses symmetry as a high-level feature to perform matching for arbitrarily large baselines. I have designed a robust GPCA algorithm that can segment motions of different types. Finally, I have presented a visual sensor synchronization scheme purely from the visual input for arbitrarily moving cameras. Made available in DSpace on 2015-09-25T20:08:36Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3153321.pdf: 10848421 bytes, checksum: aefa54a838eba5ebabf82f8c761e8b18 (MD5) Previous issue date: 2004 Embargo set by: Seth Robbins for item 82160 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 186 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2004. http://hdl.handle.net/2142/80878 (MiAaPQ)AAI3153321 eng Mathematics Geometric Principles of Multiple Visual Sensors text Electrical Engineering Electrical Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.