Abstract
To determine 3D point of an object from multiple view images, corresponding points of each image must be known. In this paper, we examined a matching method to find the corresponding points automatically on multiple view images. In this method, both template of each image are decided according to an affine transformation by referring three known corresponding points, and new corresponding point is found by a pattern matching on the epipolar line. As a result, it was confirmed that right corresponding points are found on some images of object having plane and curved surface.