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Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on Computer animation
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GI '04 Proceedings of the 2004 Graphics Interface Conference
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ACM SIGGRAPH 2004 Papers
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SCA '04 Proceedings of the 2004 ACM SIGGRAPH/Eurographics symposium on Computer animation
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ACM SIGGRAPH 2005 Papers
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Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer animation
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ACM SIGGRAPH 2006 Papers
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Proceedings of the 2006 ACM SIGGRAPH/Eurographics symposium on Computer animation
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GI '07 Proceedings of Graphics Interface 2007
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ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
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PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
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ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
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This paper presents a lossy compression method for motion capture data. Each degree of freedom of a motion clip is smoothed by an anisotropic diffusion process and then divided into segments at feature discontinuities. Feature discontinuities are identified by the zero crossings of the second derivative in the smoothed data. Finally, each segment of each degree of freedom is approximated by a cubic Bézier curve. The anisotropic diffusion process retains perceptually important high-frequency parts of the data, including the exact location of discontinuities, while smoothing low-frequency parts of the data. We propose a hierarchical coding method to further compress the cubic control points. We compare our method with wavelet compression methods, which have the best compression rates to date. Experiments show that our method, relative to this work, can achieve about a 65% higher compression rate at the same approximation level.