On recognition of 3-D objects from 2-D images

Abstract

Techniques are described for model-based recognition of 3-D objects from unknown viewpoints using single gray-scale images. The method is especially useful for recognition of scenes with overlapping and partially occluded objects. An efficient matching algorithm, which assumes affine approximation to the perspective viewing transformation, is proposed. The algorithm has an off line model preprocessing phase and a recognition phase to reduce matching complexity. The algorithm was successfully tested in recognition of flat industrial objects appearing in composite occluded scenes.< >