A New Edge Point/ Region Cooperative Segmentation Deduced From A 3D Scene Reconstruction Application

P. Bonnin; J. Blanc Talon; J C. Hayot; B. Zavidovique

doi:10.1117/12.962359

30 January 1990 A New Edge Point/ Region Cooperative Segmentation Deduced From A 3D Scene Reconstruction Application

P. Bonnin, J. Blanc Talon, J C. Hayot, B. Zavidovique

Proceedings Volume 1153, Applications of Digital Image Processing XII; (1990) https://doi.org/10.1117/12.962359
Event: 33rd Annual Technical Symposium, 1989, San Diego, United States

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.

Citation Download Citation

P. Bonnin, J. Blanc Talon, J C. Hayot, and B. Zavidovique "A New Edge Point/ Region Cooperative Segmentation Deduced From A 3D Scene Reconstruction Application", Proc. SPIE 1153, Applications of Digital Image Processing XII, (30 January 1990); https://doi.org/10.1117/12.962359

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