Transform coding of image feature descriptors

Vijay Chandrasekhar; Gabriel Takacs; David Chen; Sam S. Tsai; Jatinder Singh; Bernd Girod

doi:10.1117/12.805982

19 January 2009 Transform coding of image feature descriptors

Vijay Chandrasekhar, Gabriel Takacs, David Chen, Sam S. Tsai, Jatinder Singh, Bernd Girod

Proceedings Volume 7257, Visual Communications and Image Processing 2009; 725710 (2009) https://doi.org/10.1117/12.805982
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States

Abstract

We investigate transform coding to efficiently store and transmit SIFT and SURF image descriptors. We show that image and feature matching algorithms are robust to significantly compressed features. We achieve near-perfect image matching and retrieval for both SIFT and SURF using ~2 bits/dimension. When applied to SIFT and SURF, this provides a 16× compression relative to conventional floating point representation. We establish a strong correlation between MSE and matching error for feature points and images. Feature compression enables many application that may not otherwise be possible, especially on mobile devices.

Citation Download Citation

Vijay Chandrasekhar, Gabriel Takacs, David Chen, Sam S. Tsai, Jatinder Singh, and Bernd Girod "Transform coding of image feature descriptors", Proc. SPIE 7257, Visual Communications and Image Processing 2009, 725710 (19 January 2009); https://doi.org/10.1117/12.805982

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