Visual codebook construction for class-specific recognition

Jun Gao; Nong Sang; Changxin Gao; Qiling Tang; Sang Jun

doi:10.1117/1.3160333

1 July 2009 Visual codebook construction for class-specific recognition

Jun Gao, Nong Sang, Changxin Gao, Qiling Tang, Sang Jun

Author Affiliations +

Optical Engineering, Vol. 48, Issue 7, 077201 (July 2009). https://doi.org/10.1117/1.3160333

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.

©(2009) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Jun Gao, Nong Sang, Changxin Gao, Qiling Tang, and Sang Jun "Visual codebook construction for class-specific recognition," Optical Engineering 48(7), 077201 (1 July 2009). https://doi.org/10.1117/1.3160333

Published: 1 July 2009

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