Computer Software For Robotic Vision

Donald J. Meagher

doi:10.1117/12.934117

23 May 1983 Computer Software For Robotic Vision

Donald J. Meagher

Proceedings Volume 0360, Robotics and Industrial Inspection; (1983) https://doi.org/10.1117/12.934117
Event: 26th Annual Technical Symposium, 1982, San Diego, United States

Abstract

The matching of synthetically generated images of known solid objects with "real world" scenes is of fundamental importance in advanced robot vision systems. An efficient "hierarchical convolution" algorithm is presented. A scene contained in a quadtree is convolved with a matched filter quadtree derived from a synthetic image. During algorithm operation, a series of filtered images is generated at increasingly finer resolution. This allows for strategies based on coarse-to-fine matching. The algorithm is derived for both binary and gray scale images. In the gray scale case, the new algorithm is shown to require one-third fewer multiplications than conventional cross correlation.

Citation Download Citation

Donald J. Meagher "Computer Software For Robotic Vision", Proc. SPIE 0360, Robotics and Industrial Inspection, (23 May 1983); https://doi.org/10.1117/12.934117

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