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Optical Engineering

Visual codebook construction for class-specific recognition
Author(s): Jun Gao; Nong Sang; Changxin Gao; Qiling Tang; Sang Jun
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Paper Abstract

Creating a visual codebook is an important problem in object recognition. Using a compact visual codebook can boost computational efficiency and reduce memory cost. A simple and effective method is proposed for visual feature codebook construction. On the basis of a feedforward hierarchical model, a robust local descriptor is proposed and an a priori statistical scheme is applied to the class-specific feature-learning stage. The experiments show that the proposed approach achieves reliable performance with shorter codebook length, and incremental learning can be easily enabled.

Paper Details

Date Published: 1 July 2009
PDF: 5 pages
Opt. Eng. 48(7) 077201 doi: 10.1117/1.3160333
Published in: Optical Engineering Volume 48, Issue 7
Show Author Affiliations
Jun Gao, Huazhong Univ. of Science and Technology (China)
Nong Sang, Huazhong Univ. of Science and Technology (China)
Changxin Gao, Huazhong Univ. of Science and Technology (China)
Qiling Tang, Huazhong Univ. of Science and Technology (China)
Sang Jun, Chongqing Univ. (China)

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