A two-step outlier removal procedure for surface reconstruction |
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Authors: | Rong-qian Yang Sheng Cheng Ya-zhu Chen |
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Institution: | (1) Biomedical Instrument Institute, Med-X Research Institute, Shanghai Jiaotong University, Shanghai, 200030, China |
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Abstract: | Outliers in point clouds affect the performance of surface reconstruction directly. Most of outlier removal methods just remove
those outliers far away from the real surface and are only applied to handle watertight surface. In this paper, a two-step
outlier removal procedure is proposed to filter the point clouds acquired from the gray code and line-shifting technique.
The first step is to remove the outliers far away from the real surface. Some feature points are extracted from the point
clouds to construct an initial surface. The points with distances to the initial surface greater than a given threshold are
removed as distant outliers. The retained points are linked into lines in each structured light sheet using their Voronoi
diagrams. Some of lines which are very close to the real surface are removed as near outliers in the second step. The experimental
results show that the proposed method is very effective in removing outliers for surface reconstruction.
Foundation item: the National Natural Science Foundation of China (No. 30470488) |
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Keywords: | outlier removal point clouds structured light surface reconstruction Voronoi diagram |
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