View-based 3D object retrieval and recognition using tangent subspace analysis

Fan Wang; Fei Li; Qionghai Dai; Guihua Er

doi:10.1117/12.766622

28 January 2008 View-based 3D object retrieval and recognition using tangent subspace analysis

Fan Wang, Fei Li, Qionghai Dai, Guihua Er

Proceedings Volume 6822, Visual Communications and Image Processing 2008; 68220I (2008) https://doi.org/10.1117/12.766622
Event: Electronic Imaging, 2008, San Jose, California, United States

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.

Citation Download Citation

Fan Wang, Fei Li, Qionghai Dai, and Guihua Er "View-based 3D object retrieval and recognition using tangent subspace analysis", Proc. SPIE 6822, Visual Communications and Image Processing 2008, 68220I (28 January 2008); https://doi.org/10.1117/12.766622

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