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Methods based on distance error metrics, such as the iterative closest point (ICP) algorithm and its variants, do not efficiently register noisy point clouds. In this paper, we propose a novel method for registering noisy point clouds by extending the ICP algorithm. The proposed method, which is based on higher-dimensional error metrics minimization, has two variants: One variant is based on area...
In this study, we are focused on thinning branching noisy data sets into curves. Robust Line Fitting (RLF) method is proposed for local linear region determination and also overcome problems which occur in high curvature regions. The performance of the RLF method is tested on different noisy branching data sets. These sets are generated artificially in three separation angles (30°, 60°, 90°) and different...
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