This paper presents a simple methods for visualizing, understanding, interpreting, and recognizing 3D objects from 2D images. It extended the linear combination methods, uses parallel pattern matching and can handle 3D rigid concave objects as well convex objects and articulated objects, yet, needs only a very small number of learning samples. Some real images are illustrated, with future research discussed.
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