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Proceedings Paper

A New Edge Point/ Region Cooperative Segmentation Deduced From A 3D Scene Reconstruction Application
Author(s): P. Bonnin; J. Blanc Talon; J C. Hayot; B. Zavidovique
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Paper Abstract

This paper describes both method and first results of an indoor / outdoor 3D reconstruction application. Images are supposed to come from man-made environments. The method is based on a new cooperative segmentation designed from a rough model of such scenes. This modelisation consists of classically representing scenes by a universe composed of polyhedra, that we call general model. This allows to deduce an operating model, constituted by all the typical 3D tokens of a polyhedron: edges, vertices, plane faces. Their projections are 2D primitives as edge segments, junctions of segments, regions. Then a graph groups these features together . The segmentation principle is based on a loop of two detectors of dual image properties (homogeneity and disparity): each of them is controlled by the results of the other.

Paper Details

Date Published: 30 January 1990
PDF: 13 pages
Proc. SPIE 1153, Applications of Digital Image Processing XII, (30 January 1990); doi: 10.1117/12.962359
Show Author Affiliations
P. Bonnin, ETCA (France)
J. Blanc Talon, ETCA (France)
J C. Hayot, ETCA (France)
B. Zavidovique, ETCA (France)

Published in SPIE Proceedings Vol. 1153:
Applications of Digital Image Processing XII
Andrew G. Tescher, Editor(s)

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