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Automated extraction and parameterization of motions in large data sets
2004
ACM SIGGRAPH 2004 Papers on - SIGGRAPH '04
Large motion data sets often contain many variants of the same kind of motion, but without appropriate tools it is difficult to fully exploit this fact. This paper provides automated methods for identifying logically similar motions in a data set and using them to build a continuous and intuitively parameterized space of motions. To find logically similar motions that are numerically dissimilar, our search method employs a novel distance metric to find "close" motions and then uses them as
doi:10.1145/1186562.1015760
fatcat:4h5lmngxsnbhfiynxzswj5fehe