کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
440253 690989 2012 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A cascaded approach for feature-preserving surface mesh denoising
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر گرافیک کامپیوتری و طراحی به کمک کامپیوتر
پیش نمایش صفحه اول مقاله
A cascaded approach for feature-preserving surface mesh denoising
چکیده انگلیسی

Mesh denoising is crucial for improving noisy meshes acquired from scanning devices and digitization processes. This paper proposes a general, robust approach for mesh denoising by using a combination of bilateral filtering, feature recognition, anisotropic neighborhood searching, and surface fitting and projection techniques. Motivated by the bilateral filtering from image processing applications, we develop a new bilateral filter operating on the normal vector fields of the mesh. Then, we detect mesh features and classify mesh vertices into non-feature vertices and feature vertices. The corresponding anisotropic neighborhoods for each vertex are searched by constructing a weighted dual graph, over which biquadratic Bezier surface patches are fitted and projected. The projection points are averaged to update each vertex of the mesh. The steps above are repeated iteratively until convergence, i.e., the Hausdorff distance between two sequential denoised meshes is less than a pre-defined threshold. A number of examples presented in the paper demonstrate that our method generally yields visually and numerically better denoising results, compared with the state-of-the-art methods.


► A new bilateral filter is designed to smooth the normal vector field of a mesh.
► An efficient method is presented to detect sharp features of a noisy mesh.
► A general approach to searching anisotropic neighborhood is proposed.
► Multi-patch Bezier surface fitting and projection is developed to denoise a mesh.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer-Aided Design - Volume 44, Issue 7, July 2012, Pages 597–610
نویسندگان
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