23 May 1983 Computer Software For Robotic Vision
Author Affiliations +
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.
© (1983) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Donald J. Meagher, "Computer Software For Robotic Vision", Proc. SPIE 0360, Robotics and Industrial Inspection, (23 May 1983); doi: 10.1117/12.934117; https://doi.org/10.1117/12.934117
PROCEEDINGS
8 PAGES


SHARE
RELATED CONTENT

A new improved local Chan-Vese model
Proceedings of SPIE (March 04 2015)
Some Experiments In Distributed Vision
Proceedings of SPIE (January 17 1985)
Getting The Most From Your Pipelined Processor
Proceedings of SPIE (March 21 1989)
Detection of insect damage in almonds
Proceedings of SPIE (January 14 1999)
Bayesian iterative binary filter design
Proceedings of SPIE (May 08 2001)
DBS: retrospective and future directions
Proceedings of SPIE (December 21 2000)

Back to Top