Generic Object Recognition Using CAD-Based Multiple Representat ions

Real-world applications of computer vision usually involve a variety of object models making a single model representation somewhat inadequate for object recognition. Multiple representations, on the other hand, allow different matching strategies to be applied for the same object, or even for different parts of the same object. This paper is concerned with the use of CAD-derived hierarchical models having multiple representations - concave/convex edges and straight homogeneous generalized cylinder - for generic object recognition in outdoor visible imagery. It also presents a refocused matching algorithm that uses a hierarchically structured model database to facilitate generic object recognition. Experimental results demonstrating generic recognition of objects in perspective, aerial images are presented.