23-1 Image Matching Based on Egdes

Abstract

This paper deals with on effient method for identifying some model in an observed image by comparing egde information obtained for the model and observed image. The prototype method computers the Hausdorff distance between all possible relative positions of the model and the image, where the model is only allowed to translate with respect to the image. In this paper, we extend the prototype method to handle not only model's translation but also rotation and zooming.