This paper describes novel algorithms that use absolute camera pose information to identify correspondence among point features in hundreds or thousands of images. Our incidence counting algorithm is a geometric approach to matching: it makes features by extruding them into an absolute 3-D coordinate system, then searching 3-D space for regions into which many features project.
