Permutable descriptors for orientation-invariant image matching
Gabriel Takacs, Vijay Chandrasekhar, Huizhong Chen, David Chen, Sam S. Tsai, Radek Grzeszczuk, Bernd Girod · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2010
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.