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董军宇

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期刊论文

RECOVERY OF NONRIGID STRUCTURES FROM 2D OBSERVATIONS

董军宇HUIYU ZHOU* XUELONG LI JUNYU DONG JIAHUA WU

International Journal of Pattern Recognition and Artificial Intelligence Vol. 22, No.2 (2008) 279-294,-0001,():

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摘要/描述

We present a new method for simultaneously determining three-dimensional (3D) motion and structure of a nonrigid object from its uncalibrated two-dimensional (2D) data with Gaussian or non-Gaussian distributions. A nonrigid motion can be treated as a combination of a rigid component and a nonrigid deformation. To reduce the high dimensionality of the deformable structure or shape, we estimate the probability distribution function (PDF) of the structure through random sampling, integrating an established probabilistic model. The fitting between the observations and the estimated 3D structure will be evaluated using the pooled variance estimator. The recovered structure is only available when the 2D feature points have been properly corresponded over two image frames. Applications of the proposed method to both synthetic and real image sequences are demonstrated with promising results.

版权说明:以下全部内容由董军宇上传于   2010年08月31日 10时41分36秒,版权归本人所有。

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