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作 者:范涵奇[1] 苗兰芳[2] 张鑫[1] 彭群生[1]
机构地区:[1]浙江大学CAD8LCG国家重点实验室,杭州310027 [2]浙江师范大学数理与信息工程学院,金华321004
出 处:《计算机辅助设计与图形学学报》2009年第6期812-818,共7页Journal of Computer-Aided Design & Computer Graphics
基 金:国家“九七三”重点基础研究发展计划项目(2002CB312101)
摘 要:提出了一种统一的局部高阶双边滤波算法.与传统的双边滤波去噪算法不同,该算法通过引入鲁棒统计理论获得模型表面较为准确的几何属性;进而在曲率空间中对包含主曲率和Frenet标架的表面几何属性进行各向异性的滤波,既有利于保持模型的细节,又能保证曲面的光滑性;与此同时,优化各个顶点的法向;最后在优化后的几何属性引导下,在几何空间中进行高阶双边滤波去噪.实验结果表明,即使在大噪声的情况下,该算法仍然能够有效地保持模型细节,避免模型的收缩和顶点漂移.A robust high-order bilateral denoising algorithm is introduced in the paper. techniques from robust statistics, we obtain the approximations of the underlying surfaces. By using This leads to a conceptually good local patch with precise geometry properties, and as a result, the influence of noises is reduced. In addition, we also present a diffusion method to smooth the geometry properties, including principle curvatures and Frenet frame. The method ensures that the surfaces are smooth in the curvature space, and maintain the details, features and optimize the normals. The results show that, even in a high level noise situation, our algorithm can remove noise effectively, and at the same time keep the details of the model. More importantly, the model may avoid shrinkage that usually comes up in the previous filtering algorithms.
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术]
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