Rotation Invariant Shape Contexts based on Feature-space Fourier Transformation

Authors:
Su Yang;Yuanyuan Wang
Affiliations:
Fudan University, China;Fudan University, China
Venue:
ICIG '07 Proceedings of the Fourth International Conference on Image and Graphics
Year:
2007

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Abstract

We propose a new pixel-level shape descriptor. First, shape contexts are computed. Then, 2D FFT is performed on each 2D histogram from shape contexts. Such a scheme solves the rotation-invariance problem of shape contexts based on the shift theorem of Fourier Transformation while does not increase the computational complexity. Theoretical proof and experimental validation are provided.