A technique for recognizing planar objects in three-dimensional space is described. The object's domain is not restricted to purely two-dimensional items but includes fairly flat real objects such as a pair of scissors. To tackle realistic matching problems, the proposed method is invariant to changes within a prescribed range of perspective viewpoints, scaling, shift and reasonable degree of occlusion. In brief, objects are recognized by a modified dynamic link matching. Our experiments show that the system is very successful in recognizing deformed objects due to perspective distortion, even in rather cluttered scenes.
H. C. Sim, Robert I. Damper