Automated Extraction and Parameterization of Motions in Large Data Sets

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Automated Extraction and Parameterization of Motions in Large Data Sets (2004)

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by Lucas Kovar

Venue:	ACM Transactions on Graphics
Citations:	183 - 2 self

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@ARTICLE{Kovar04automatedextraction,
    author = {Lucas Kovar},
    title = {Automated Extraction and Parameterization of Motions in Large Data Sets},
    journal = {ACM Transactions on Graphics},
    year = {2004},
    volume = {23},
    pages = {559--568}
}

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Abstract

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 intermediaries to find more distant motions. Search queries are answered at interactive speeds through a precomputation that compactly represents all possibly similar motion segments. Once a set of related motions has been extracted, we automatically register them and apply blending techniques to create a continuous space of motions. Given a function that defines relevant motion parameters, we present a method for extracting motions from this space that accurately possess new parameters requested by the user. Our algorithm extends previous work by explicitly constraining blend weights to reasonable values and having a run-time cost that is nearly independent of the number of example motions. We present experimental results on a test data set of 37,000 frames, or about ten minutes of motion sampled at 60 Hz.

Keyphrases

large data set similar motion new parameter interactive speed large motion data set close motion continuous space ten minute example motion novel distance present experimental result related motion search query appropriate tool run-time cost automated method search method many variant previous work relevant motion parameter distant motion parameterized space data set test data set similar motion segment

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