Abstract
To identify a 3D coordinate of an object from photographic images, corresponding point of each image must be known. Though it is possible to obtain corresponding points by the simple pattern matching among similar images from near viewpoints, it is difficult among images from arbitrary viewpoints. In this paper, we examined the matching method which adds the corresponding points automatically for multiple view images. In this method, template of each image is decided according to an affine transformation by referring three known corresponding points, and a new corresponding point is obtained by pattern matching along the epipolar line. As a result, it was confirmed that correct corresponding points are obtained on some images of the object with plane or curved surface.
