A Machine Vision Identification Technique From Range Images

N. Kehtarnavaz; S. Mohan

doi:10.1117/12.942762

19 February 1988 A Machine Vision Identification Technique From Range Images

N. Kehtarnavaz, S. Mohan

Proceedings Volume 0848, Intelligent Robots and Computer Vision VI; (1988) https://doi.org/10.1117/12.942762
Event: Advances in Intelligent Robotics Systems, 1987, Cambridge, CA, United States

Abstract

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.

Citation Download Citation

N. Kehtarnavaz and S. Mohan "A Machine Vision Identification Technique From Range Images", Proc. SPIE 0848, Intelligent Robots and Computer Vision VI, (19 February 1988); https://doi.org/10.1117/12.942762

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