  Voxel coloring is a popular method of reconstructing a three-dimensional
surface model from a set of calibrated 2D images. However, the reconstruction
quality is largely dependent on a thresholding procedure allowing the authors
to decide, for each voxel, whether it is photo-consistent or not. Even so, this
method is widely used because of its simplicity and low computational cost. We
have returned to this method in order to propose an improvement in the
thresholding step which will be fully automated. Indeed, the geometrical
information is implicitly integrated using an hysteresis thresholding which
takes into account the spatial coherence of color voxels. Moreover, the
ambiguity of choosing the thresholds is extremely minimized by defining a fuzzy
degree of membership of each voxel into the class of consistent voxels. Also,
there is no need for preset thresholds since the hysteresis ones are defined
automatically and adaptively depending on the number of images that the voxel
isprojected onto. Preliminary results are very promising and demonstrate that
the proposed method performs automatically precise and smooth volumetric scene
reconstruction.
