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Proceedings Paper

Rule-Based String Code Processor
Author(s): David Casasent; Sung-Il Chien
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Paper Abstract

A new and efficient real time technique to produce a string code description of the contour of an object, such as an (angle, length) (0, s) feature space for the arcs describing the contour, is detailed. We demonstrate the use of such a description for an aircraft identification problem case study. Our (0, s) feature space is modified to include a length string code and a convexity string code. This feature space allows both global and local feature extraction. The local feature extraction follows human techniques and is thus quite suitable for a rule-based processor (as we discuss and demonstrate). Aircraft have generic parts and thus are quite suitable for the model-based description.

Paper Details

Date Published: 19 February 1988
PDF: 11 pages
Proc. SPIE 0848, Intelligent Robots and Computer Vision VI, (19 February 1988); doi: 10.1117/12.942714
Show Author Affiliations
David Casasent, Carnegie Mellon University (United States)
Sung-Il Chien, Carnegie Mellon University (United States)


Published in SPIE Proceedings Vol. 0848:
Intelligent Robots and Computer Vision VI
David P. Casasent; Ernest L. Hall, Editor(s)

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