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A Machine Vision Identification Technique From Range Images

In this paper, we have developed an orientation-independent identification technique from three-dimensional surface maps or range images. Given the range image of an object, it is decomposed into orientation-independent patches using the sign of gaussian curvature. A relational graph is then set up such that a node represents a patch and an edge represents the adjacency of two patches. The identification of the object is achieved by matching its graph representation to a number of model graphs. The matching is performed by employing the best-first search strategy. Examples of real range images show the merit of our technique.