Fast quantization and matching of histogram-based image features

Yuriy A. Reznik; Vijay Chandrasekhar; Gabriel Takacs; David M. Chen; Sam S. Tsai; Bernd Girod

doi:10.1117/12.862362

7 September 2010 Fast quantization and matching of histogram-based image features

Yuriy A. Reznik, Vijay Chandrasekhar, Gabriel Takacs, David M. Chen, Sam S. Tsai, Bernd Girod

Proceedings Volume 7798, Applications of Digital Image Processing XXXIII; 77980L (2010) https://doi.org/10.1117/12.862362
Event: SPIE Optical Engineering + Applications, 2010, San Diego, California, United States

Abstract

We review construction of a Compressed Histogram of Gradients (CHoG) image feature descriptor, and study quantization problem that arises in its design. We explain our choice of algorithms for solving it, addressing both complexity and performance aspects. We also study design of algorithms for decoding and matching of compressed descriptors, and offer several techniques for speeding up these operations.

Citation Download Citation

Yuriy A. Reznik, Vijay Chandrasekhar, Gabriel Takacs, David M. Chen, Sam S. Tsai, and Bernd Girod "Fast quantization and matching of histogram-based image features", Proc. SPIE 7798, Applications of Digital Image Processing XXXIII, 77980L (7 September 2010); https://doi.org/10.1117/12.862362

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