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This paper presents an innovative three dimensional occlusion detection and restoration strategy for the recognition of three dimensional faces partially occluded by unforeseen, extraneous objects. The detection method considers occlusions as local deformations of the face that correspond to perturbations in a space designed to represent non-occluded faces. Once detected, occlusions represent missing information, or "holes" in the faces. The restoration module exploits the information provideddoi:10.1007/s10851-010-0252-0 fatcat:fxexsbwnmvbsxcmsajk6wkkqhy