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Proceedings Paper

Object Modelling And Redundancy Reduction: Algorithmic Information Theory Revisited
Author(s): L. Van Gool; J. Wagemans; A. Oosterlinck
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Paper Abstract

Human subjects easily perceive and extensively use shape regularities such as symmetry or periodicity when they are confronted with the task of object description and recognition. A computer vision algorithm is presented which emulates such behaviour in that it similarly makes use of shape redundancies for the concise description and meaningful segmentation of object contours. A shape complexity measure is proposed, based on making such structure explicit, and therefore akin to algorithmic information theory.

Paper Details

Date Published: 11 October 1989
PDF: 10 pages
Proc. SPIE 1135, Image Processing III, (11 October 1989); doi: 10.1117/12.961648
Show Author Affiliations
L. Van Gool, ESAT-MI2 (Belgium)
J. Wagemans, Lab. Experimental Psychology (Belgium)
A. Oosterlinck, ESAT-MI2 (Belgium)

Published in SPIE Proceedings Vol. 1135:
Image Processing III
Jacques Frank Duvernoy, Editor(s)

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