L. Mavridis, V. Venkatraman, D. W. Ritchie, N. Morikawa, R. Andonov, A. Cornu, N. Malod-Dognin, J. Nicolas, M. Temerinac-Ott, M. Reisert, H. Burkhardt, A. Axenopoulos, and P. Daras
This paper presents the results of the 3D Shape Retrieval Contest 2010 (SHREC10) track Protein Models Classification. The aim of this track is to evaluate how well 3D shape recognition algorithms can classify protein structures according to the CATH [CSL?08] superfamily classification. Five groups participated in this track, using a total of six methods, and for each method a set of ranked predictions was submitted for each classification task. The evaluation of each method is based on the nearest neighbour and area under the curve(AUC) metrics.
Categories and Subject Descriptors (according to ACM CCS): I.3.5 [Computer Graphics]: Curve, surface, solid, and object representationsGeometric algorithms, languages, and systems