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3D Object Modeling and Recognition in Photographs and Video

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Title: 3D Object Modeling and Recognition in Photographs and Video
Author(s): Rothganger, Fredrick H.
Subject(s): computer graphics machine learning object recognition
Abstract: This thesis introduces a novel representation for three-dimensional (3D) objects in terms of local affine-invariant descriptors of their appearance and the spatial relationships between the corresponding affine regions. Geometric constraints associated with different views of the same surface patches are combined with a normalized representation of their appearance to guide matching and reconstruction, allowing the acquisition of true 3D models from multiple unregistered images, as well as their recognition in photographs and image sequences. The proposed approach is applied to two domains: 1) Photographs -- Models of rigid objects are constructed from photos and recognized in highly cluttered shots taken from arbitrary viewpoints. 2) Video -- Dynamic scenes containing multiple moving objects observed by a moving camera are segmented into rigid components, and the 3D models constructed from these components are matched across different image sequences, with application to shot matching.
Issue Date: 2004-11
Genre: Technical Report
Type: Text
URI: http://hdl.handle.net/2142/10917
Other Identifier(s): UIUCDCS-R-2004-2482
Rights Information: You are granted permission for the non-commercial reproduction, distribution, display, and performance of this technical report in any format, BUT this permission is only for a period of 45 (forty-five) days from the most recent time that you verified that this technical report is still available from the University of Illinois at Urbana-Champaign Computer Science Department under terms that include this permission. All other rights are reserved by the author(s).
Date Available in IDEALS: 2009-04-17
 

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