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International Journal of Soft Computing
Year: 2008  |  Volume: 3  |  Issue: 3  |  Page No.: 201 - 204

Neural Networks Approach to 3D Rigid Motion Estimation from Feature Points

Yaming Wang, Li Sun, Jueliang Hu, Yunhua Zhang and Wenqing Huang    

Abstract: 3D rigid motion estimation from images is crucial for many important applications. In this study, an approach is proposed for 3D rigid motion estimation from feature points using feed-forward neural-networks. The correspondence of feature points between consecutive images is assumed to be established beforehand. The proposed neural network is composed of 3 layers and 3 points are randomly selected from all points on the object to train the network using Newton-Raphson procedure. Experimental results from synthetic data are presented for validating the proposed approach.

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