7 September 2010 Permutable descriptors for orientation-invariant image matching
Author Affiliations +
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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gabriel Takacs, Gabriel Takacs, Vijay Chandrasekhar, Vijay Chandrasekhar, Huizhong Chen, Huizhong Chen, David Chen, David Chen, Sam Tsai, Sam Tsai, Radek Grzeszczuk, Radek Grzeszczuk, Bernd Girod, Bernd Girod, } "Permutable descriptors for orientation-invariant image matching", Proc. SPIE 7798, Applications of Digital Image Processing XXXIII, 77980M (7 September 2010); doi: 10.1117/12.863993; https://doi.org/10.1117/12.863993
PROCEEDINGS
8 PAGES


SHARE
Back to Top