This thesis mainly aiming at the method of algebraic character that is represented by SVD has done plenty of research work in the aspects of 3d object recognition and pose estimation.

本文主要针对以奇异值特征为代表的代数特征方法，在3d目标识别及姿态估计等方面做了大量研究工作。

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For head pose estimation plays an important role in human machine interface, the authors propose an approach to estimate 3D head pose from a monocular sequence.

头部姿势估计在人机交互中有着重要的意义，为此提出了一种在单目图像序列中估计三维头部姿势的方法。

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