Permutable descriptors for orientation-invariant image matching

Gabriel Takacs; Vijay Chandrasekhar; Huizhong Chen; David Chen; Sam Tsai; Radek Grzeszczuk; Bernd Girod

doi:10.1117/12.863993

7 September 2010 Permutable descriptors for orientation-invariant image matching

Gabriel Takacs, Vijay Chandrasekhar, Huizhong Chen, David Chen, Sam Tsai, Radek Grzeszczuk, Bernd Girod

Proceedings Volume 7798, Applications of Digital Image Processing XXXIII; 77980M (2010) https://doi.org/10.1117/12.863993
Event: SPIE Optical Engineering + Applications, 2010, San Diego, California, United States

Abstract

Orientation-invariant feature descriptors are widely used for image matching. We propose a new method of computing and comparing Histogram of Gradients (HoG) descriptors which allows for re-orientation through permutation. We do so by moving the orientation processing to the distance comparison, rather than the descriptor computation. This improves upon prior work by increasing spatial distinctiveness. Our method method allows for very fast descriptor computation, which is advantageous since many mobile applications of HoG descriptors require fast descriptor computation on hand-held devices.

Citation Download Citation

Gabriel Takacs, Vijay Chandrasekhar, Huizhong Chen, David Chen, Sam Tsai, Radek Grzeszczuk, and Bernd Girod "Permutable descriptors for orientation-invariant image matching", Proc. SPIE 7798, Applications of Digital Image Processing XXXIII, 77980M (7 September 2010); https://doi.org/10.1117/12.863993

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