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FAST EXTRACTION OF MULTI PLANES USING RANSAC ALGORITHM

机译:利用RANSAC算法快速提取多平面

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摘要

For extracting multi-planes from a large mount of 3D points obtained by a camera and range finders, it is necessary and important to improve the efficiency of RANSAC algorithm. To speed up the algorithm, the probability to obtain good samples is improved with some measures such as 3D point segmentation, selecting samples within division, constraining and improving of samples. The proposed method also quickly evaluates local support for hypothesized models through randomly selecting a small number of points within division. Finally, simulations are presented to demonstrate the efficiency of the proposed method.
机译:为了从相机和范围取景器获得的大型3D点中提取多平面,需要提高RANSAC算法的效率。 为了加速算法,通过诸如3D点分割的一些措施来提高获得良好样本的概率,从而选择分割内的样本,约束和改善样品。 该方法还通过随机选择划分内的少量点来快速评估对假设模型的本地支持。 最后,提出了模拟以证明所提出的方法的效率。

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