Multimedia Technology and Telecommunications Lab
Current content-based retrieval schemes for 3D models are based on shape information only and typically ignore other clues like color data associated to their description. Combining shape and color clues can potentially improve 3D model retrieval performances but this idea is still almost unexplored at this time. A possible approach is to extend shape-based 3D model retrieval methods of proven effectiveness in order to include color data. Following such rationale we have introduced an extended version of the spin-image descriptor that can account also for color data. The comparison of such descriptors is performed using a novel scheme that allows to recognize as similar also objects with different colors but distributed in the same way over the shape. Shape and color similarity are finally combined together by an algorithm based on fuzzy logic. Experimental results show how the joint use of color and shape data allows to improve retrieval performances specially on object classes with meaningful color information.