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Proceedings Paper

View-based 3D object retrieval and recognition using tangent subspace analysis
Author(s): Fan Wang; Fei Li; Qionghai Dai; Guihua Er
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Paper Abstract

Light field is a novel image-based representation of 3D object, in which each 3D object is described by a group of images captured from many viewpoints. It is irrelevant to the complexity of the 3D scenario or objects. Due to this advantage, we propose a 3D object retrieval framework based on light field. An effective distance measure through subspace analysis of light field data is defined, and our method makes use of the structural information hidden in the images of light field. To obtain a more reasonable distance measure, the distance in low dimensional spaces is supplemented. Additionally, our algorithm can handle the problem of arbitrary camera numbers and positions when capturing the light field. In our experiment, a standard 3D object database is adopted, and our proposed distance measure shows better performance than the "LFD" in 3D object retrieval and recognition.

Paper Details

Date Published: 28 January 2008
PDF: 11 pages
Proc. SPIE 6822, Visual Communications and Image Processing 2008, 68220I (28 January 2008); doi: 10.1117/12.766622
Show Author Affiliations
Fan Wang, Tsinghua Univ. (China)
Fei Li, Tsinghua Univ. (China)
Qionghai Dai, Tsinghua Univ. (China)
Guihua Er, Tsinghua Univ. (China)

Published in SPIE Proceedings Vol. 6822:
Visual Communications and Image Processing 2008
William A. Pearlman; John W. Woods; Ligang Lu, Editor(s)

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