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Proceedings Paper

Token-Based Optimized Correspondence Processing For The Segmentation Of Time-Varying Images
Author(s): Dominique Moulet; Dominique Barba
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Paper Abstract

This work deals with the improvement of a new method concerning the temporal following of spatial segmentation in images sequences. This is one of the keys for performing time-varying complex image analysis and movement interpretation. Our method connects along the time axis characteristic points derived from the different contours generated by the spatial segmentation. These points are time-linked together by a correspondence process which consists of 3 main phases : a prediction step, a matching process and a refinement phase.

Paper Details

Date Published: 1 November 1989
PDF: 13 pages
Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); doi: 10.1117/12.970149
Show Author Affiliations
Dominique Moulet, IUT de Nantes (France)
Dominique Barba, Laboratoire de Robotique et Informatique Industrielle (France)

Published in SPIE Proceedings Vol. 1199:
Visual Communications and Image Processing IV
William A. Pearlman, Editor(s)

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