Scalability of Non-Rigid 3D Shape Retrieval

I. Sipiran, B. Bustos, T. Schreck, A. M. Bronstein, S. Choi, L. Lai, H. Li, R. Litman & L. Sun
Due to recent advances in 3D acquisition and modeling, increasingly large amounts of 3D shape data become available in many application domains. This rises not only the need for effective methods for 3D shape retrieval, but also efficient retrieval and robust implementations. Previous 3D retrieval challenges have mainly considered data sets in the range of a few thousands of queries. In the 2015 SHREC track on Scalability of 3D Shape Retrieval we provide a benchmark...
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