30 January 1990 A New Edge Point/ Region Cooperative Segmentation Deduced From A 3D Scene Reconstruction Application
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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.
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P. Bonnin, P. Bonnin, J. Blanc Talon, J. Blanc Talon, J C. Hayot, J C. Hayot, B. Zavidovique, 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); doi: 10.1117/12.962359; https://doi.org/10.1117/12.962359
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