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Abstract : |
Abstract. This paper proposes a scale and rotation invariant recogni-tion method vhich uses higher-order local autocorrelation (HLAC) fea-tures of log-polar image. Linear scalings and rotations are represented as shifts in the log-polar image vhich is obtained by re-sampling of the input image. HLAC features of log-polar image become robust to the linear scalings and rotations of a target because HLAC features are shiftinvariant. By combining these features vith a simple classifier vhich uses linear discriminant analysis, ve can design a scale and rotation invariant recognition system. Robustness to the scalings and rotations are confirmed by experiments on 2D shapes and face recognition. Robustness to the changes of backgrounds is also confirmed by experiments on face recognition., |
