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Skinning surface algorithm of B-spline for scattered point cloud

机译:散点云的B样条蒙皮曲面算法

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Due to the intrinsic property of B-Spline surface, the surface reconstruction with scattered and chaos point-cloud is a challenging problem. This paper proposed a skinning surface algorithm of B-spline for scattered point-cloud. First, raw data was preprocessed including denoising, simplifying and slicing to obtain section data. Second, approximating cross section data into B-spline curves and resampling to ensure the common knot vector. Then the new data would be parameterized and interpolated into B-spline curves. Finally, surface of scatter point-cloud would be reconstructed by skinning. Experiments demonstrate that this method is easy to implement and provides an accurate surface model.
机译:由于B样条曲面的固有属性,具有散乱的点云的曲面重构是一个具有挑战性的问题。提出了一种针对散乱点云的B样条蒙皮表面算法。首先,对原始数据进行预处理,包括去噪,简化和切片,以获取切片数据。其次,将横截面数据近似为B样条曲线,然后重新采样以确保公共结向量。然后,将对新数据进行参数化并将其内插到B样条曲线中。最后,通过蒙皮重建散射点云的表面。实验表明,该方法易于实现,并提供了准确的表面模型。

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