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2008 9th International Conference on Signal Processing
In shape recognition, the boundary and exterior parts are amongst the most discriminative features. In this paper, we propose new multiscale Fourier-based object descriptors in 2-D space, which represents the boundary and exterior parts of an object more than the central part. This representation is based on using a high-pass Gaussian filter at different scales. The proposed algorithm makes descriptors size, translation and rotation invariant as well as increasing discriminative power anddoi:10.1109/icosp.2008.4697254 fatcat:gz4ac6axajhefo5mdthg4tqmei