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We have previously proposed a multiple-view, densely-sampled, bag-of-visual features algorithm for shape-based 3D model retrieval  . The method achieved good retrieval performance for moderately sized benchmark datasets (~1,000 3D models), including both rigid and articulated 3D shapes. It is also much faster than the other methods having similar retrieval performance. However, the method does not exploit semantic knowledge. We want the retrieval results to reflect multiple (e.g., ~100)doi:10.1109/cbmi.2010.5529890 dblp:conf/cbmi/OhbuchiTFO10 fatcat:blk5zucumvgpfa3ar3scsicvoa