On the Motion Dimension Reduction by Laplacian Eigenmap

Hao Jiang; Jie Xu; Zhuo Chen

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

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 52-54On the Motion Dimension Reduction by Laplacian...

On the Motion Dimension Reduction by Laplacian Eigenmap

Abstract:

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.

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Applied Mechanics and Materials (Volumes 52-54)

Pages:

556-561

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.52-54.556

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Online since:

March 2011

Authors:

Hao Jiang, Jie Xu, Zhuo Chen

Keywords:

Dimension Reduction, Laplacian Eigenmap, Structural Video Analysis

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