Share Email Print

Proceedings Paper

New graph representation for the recognition of occluded objects
Author(s): Hamid Hamdani; Marc Salotti
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

We propose a new approach for the representation of objects. It is based on the decomposition of contours in different features: convex or concave curves, convex or concave corners, segments. The decomposition is performed according to the properties of the contour profile, which allows overlapping of primitives. Primitives are then connected according to specific relations, in particular adjacency (not in a strict sense), proximity, similarity, etc., based on the Gestalt Theory. The two sides of the contours are distinguished in order to process faces separately. In this representation, an object is defined by a hypergraph in which it is possible to extract sub-hypergraphs corresponding to all visible faces. Graph matching methods are used for the recognition of objects. If the objects are partially occluded, the search for the maximal generalization between hypergraphs makes it possible to recognize parts of them.

Paper Details

Date Published: 14 December 1998
PDF: 8 pages
Proc. SPIE 3641, Videometrics VI, (14 December 1998); doi: 10.1117/12.333800
Show Author Affiliations
Hamid Hamdani, Univ. des Sciences Appliquees de Cherbourg (France)
Marc Salotti, Univ. des Sciences Appliquees de Cherbourg (France)

Published in SPIE Proceedings Vol. 3641:
Videometrics VI
Sabry F. El-Hakim; Armin Gruen, Editor(s)

© SPIE. Terms of Use
Back to Top