Share Email Print

Proceedings Paper

Token-Based Optimized Correspondence Processing For The Segmentation Of Time-Varying Images
Author(s): Dominique Moulet; Dominique Barba
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

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)

© SPIE. Terms of Use
Back to Top