基于RIKs的NRSFM集成算法

Fifth International Conference on Intelligent Control and Information Processing Pub Date : 2014-08-01 DOI:10.1109/ICICIP.2014.7010305

Yuan Fang, Zhanli Sun, L. Shang

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引用次数: 0

摘要

针对NRSFM-RIKs算法由于参数变化而产生的波动，本文提出了一种集成算法。在该方法中，首先对参数的可能区间进行网格划分。然后，将每组值设置为NRSFM-RIKs算法的参数值，用于估计特征点的三维坐标。最后，对估计的三维坐标进行积分，作为最终的估计。在多个常用序列上的实验结果验证了该方法的可行性和有效性。

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An integrated algorithm for NRSFM with RIKs

In this paper, an integrated algorithm is proposed to reduce the fluctuation of the NRSFM-RIKs algorithm caused by the parameter variation. In the proposed method, a grid division is first performed on the possible interval of parameters. Then, each group of values is set as the parameter values of the NRSFM-RIKs algorithm to estimate the 3D coordinates of feature points. Finally, the estimated 3D coordinates are integrated, and used as the final estimations. The experimental results on several widely used sequences demonstrate the feasibility and effectiveness of the proposed method.

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Fifth International Conference on Intelligent Control and Information Processing

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