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NECO
2007

3D Periodic Human Motion Reconstruction from 2D Motion Sequences

13 years 3 months ago
3D Periodic Human Motion Reconstruction from 2D Motion Sequences
In this report, we present and evaluate a method of reconstructing three-dimensional (3D) periodic human motion from two-dimensional (2D) motion sequences. Based on a Fourier decomposition of a training set of 3D data, we construct a linear, morphable representation. Using this representation a lowdimensional linear model is learned by means of Principle Component Analysis (PCA). Twodimensional test data are now projected onto this model and the resulting 3D reconstructions are evaluated. We present two different simulations. In the first experiment, we assume the 2D projection matrix to be known. In the second experiment, the horizontal viewpoint is unknown and is being recovered from the data.
Zonghua Zhang, Nikolaus F. Troje
Added 27 Dec 2010
Updated 27 Dec 2010
Type Journal
Year 2007
Where NECO
Authors Zonghua Zhang, Nikolaus F. Troje
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