Occlusion Robust Pattern Matching Using Shape Based Eigen Templates

Abstract

We propose a new template matching method to detect the XY displacement and the rotational angle accurately for the chipped target object in the complex background. The proposed method is based on the Eigen template method. The eigen template method compresses many rotational templates by using eigen decomposition technique. This method can detect the target object same as the accuracy of Normalized Cross Correlation (NCC) and it is less computation time. However, the eigen template method is not robust for the occluded (chipped) target and the complex background. In this paper, we improve the eigen template method to use the shape based image similarity. The simulation experiments show that the proposed method can detect the target object correctly for the complex images.