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首页> 外文期刊>Pattern Recognition: The Journal of the Pattern Recognition Society >A new subdivision based approach for piecewise smooth approximation of 3D polygonal curves
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A new subdivision based approach for piecewise smooth approximation of 3D polygonal curves

机译:一种新的基于细分的3D多边形曲线分段平滑逼近方法

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摘要

This paper presents an algorithm dealing with the data reduction and the approximation of 3D polygonal curves. Our method is able to approximate efficiently a set of straight 3D segments or points with a piecewise smooth subdivision curve, in a near optimal way in terms of control point number. Our algorithm is a generalization for subdivision rules, including sharp vertex processing, of the Active B-Spline Curve developed by Pottmann et al. We have also developed a theoretically demonstrated approach, analysing curvature properties of B-Splines, which computes a near optimal evaluation of the initial number and positions of control points. Moreover, our original Active Footpoint Parameterization method prevents wrong matching problems occurring particularly for self-intersecting curves. Thus, the stability of the algorithm is highly increased. Our method was tested on different sets of curves and gives satisfying results regarding to approximation error, convergence speed and compression rate. This method is in line with a larger 3D CAD object compression scheme by piecewise subdivision surface approximation. The objective is to fit a subdivision surface on a target patch by first fitting its boundary with a subdivision curve whose control polygon will represent the boundary of the surface control polyhedron. (c) 2005 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
机译:本文提出了一种处理数据约简和3D多边形曲线逼近的算法。我们的方法能够以近似最优的方式根据控制点数有效地逼近一组具有分段平滑细分曲线的直线3D线段或点。我们的算法是对Pottmann等人开发的Active B样条曲线的细分规则(包括尖锐的顶点处理)的概括。我们还开发了一种从理论上证明的方法,可以分析B样条曲线的曲率特性,从而计算出控制点的初始数量和位置的近似最佳评估。此外,我们独创的主动脚点参数化方法可防止出现错误的匹配问题,尤其是对于自相交曲线。因此,大大提高了算法的稳定性。我们的方法在不同的曲线集上进行了测试,并在逼近误差,收敛速度和压缩率方面给出了令人满意的结果。通过分段细分曲面逼近,此方法与较大的3D CAD对象压缩方案一致。目的是通过首先用细分曲线拟合其边界以细分曲面来拟合细分曲面,该细分曲线的控制多边形将代表曲面控制多面体的边界。 (c)2005模式识别学会。由Elsevier Ltd.出版。保留所有权利。

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