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Voxel coloring is a popular method of reconstructing a three-dimensionalsurface model from a set of calibrated 2D images. However, the reconstructionquality is largely dependent on a thresholding procedure allowing the authorsto decide, for each voxel, whether it is photo-consistent or not. Even so, thismethod is widely used because of its simplicity and low computational cost. Wehave returned to this method in order to propose an improvement in thethresholding step which will be fully automated. Indeed, the geometricalinformation is implicitly integrated using an hysteresis thresholding whichtakes into account the spatial coherence of color voxels. Moreover, theambiguity of choosing the thresholds is extremely minimized by defining a fuzzydegree of membership of each voxel into the class of consistent voxels. Also,there is no need for preset thresholds since the hysteresis ones are definedautomatically and adaptively depending on the number of images that the voxelisprojected onto. Preliminary results are very promising and demonstrate thatthe proposed method performs automatically precise and smooth volumetric scenereconstruction.

Seuillage par hyst\'er\'esis pour le test de photo-consistance des voxels dans le cadre de la reconstruction 3D