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| 一种带噪声的密集三角网格细分曲面拟合算法 |
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吴剑煌1,2, 刘伟军1, 王天然1, 赵吉宾1
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1.中国科学院,沈阳自动化所,先进制造技术实验室,辽宁,沈阳,110016;2.中国科学院,研究生院,北京,100049
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| 摘要: |
| 实现了一个从带噪声的密集三角形拟合出带尖锐特征的细分曲面拟合系统.该系统包括了一种改进的基于图像双边滤波器的网格噪声去除方法,模型的尖锐特征提取以及保持尖锐特征的网格简化和拓扑优化.为了处理局部细节特征和模型数据量问题,提出了自适应细分方法,并将根据给定精度估计最少细分深度引入到细分曲面拟合系统中,使得拟合得到的细分曲面模型具有良好的细节特征和数据量小等特点.大量3D模型实验结果和实际工程应用结果表明了该细分曲面拟合系统的有效性. |
| 关键词: 细分曲面 网格噪声去除 自适应细分 深度估计 曲面拟合 |
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| 基金项目:Supported by the Natural Science Foundation of Liaoning Province of China under Grant Nos.L050210, L050211 (辽宁省自然科学基金) |
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| A Fitting Algorithm of Subdivision Surface from Noising and Dense Triangular Meshes |
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WU Jian-Huang,LIU Wei-Jun,WANG Tian-Ran,ZHAO Ji-Bin
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| Abstract: |
| A fitting system is developed to fit subdivision surface with sharp feature from noising and dense triangular meshes of arbitrary topology. The system includes an improved mesh denoising method based on bilateral filtering of images, sharp features extraction, feature-preserving mesh simplification and topological optimization. An estimating method for Loop subdivision surface is introduced to predict how many subdivision iterations are necessary to meet a user-defined tolerance. The method of adaptive subdivision is proposed during the fitting process to handle local detailed surface features. Both experimental results and practical applications in engineering demonstrate that the system can effectively achieve a good quality of the fitting subdivision surface with nice details while using few facets in the approximation. |
| Key words: subdivision surface mesh denoising adaptive subdivision depth estimating surface fitting |
