On the Motion Dimension Reduction by Laplacian Eigenmap

Abstract:

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Laplacian eigenmap is used for motion dimension reduction. Eight Kinds of artificially typical 2D motion data are made as input of Laplacian eigenmap, and meaningful conclusions are obtained, which can be easily extended to complex data analysis in real applications. Advanced motion analysis methods have also been discussed briefly, such as 3D motion analysis, view independent motion analysis, pose representation and estimation as well as structural video analysis.

Info:

Periodical:

Edited by:

Zhou Mark

Pages:

556-561

DOI:

10.4028/www.scientific.net/AMM.52-54.556

Citation:

H. Jiang et al., "On the Motion Dimension Reduction by Laplacian Eigenmap", Applied Mechanics and Materials, Vols. 52-54, pp. 556-561, 2011

Online since:

March 2011

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Price:

$35.00

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