Bilateral recovering of sharp edges on feature-insensitive sampled meshes

A variety of computer graphics applications sample surfaces of 3D shapes in a regular grid without making the sampling rate adaptive to the surface curvature or sharp features. Triangular meshes that interpolate or approximate these samples usually exhibit relatively big error around the insensitive...

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Bibliographic Details
Published inIEEE transactions on visualization and computer graphics Vol. 12; no. 4; pp. 629 - 639
Main Author Wang, C.C.L.
Format Journal Article
LanguageEnglish
Published United States IEEE 01.07.2006
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
Angles (geometry)
Application software
Artificial Intelligence
Boundary representations
Computer errors
Computer Graphics
Curvature
Filtering
Filters
Filtration
geometric algorithms
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Imaging, Three-Dimensional - methods
Information Storage and Retrieval - methods
languages
Noise reduction
Numerical Analysis, Computer-Assisted
Pattern Recognition, Automated - methods
Recognition
Robustness
Sampling
Sampling methods
Shape
Signal Processing, Computer-Assisted
Smoothing methods
systems
Three dimensional
User-Computer Interface
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ISSN1077-2626
1941-0506
DOI10.1109/TVCG.2006.60

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Summary:A variety of computer graphics applications sample surfaces of 3D shapes in a regular grid without making the sampling rate adaptive to the surface curvature or sharp features. Triangular meshes that interpolate or approximate these samples usually exhibit relatively big error around the insensitive sampled sharp features. This paper presents a robust general approach conducting bilateral filters to recover sharp edges on such insensitive sampled triangular meshes. Motivated by the impressive results of bilateral filtering for mesh smoothing and denoising, we adopt it to govern the sharpening of triangular meshes. After recognizing the regions that embed sharp features, we recover the sharpness geometry through bilateral filtering, followed by iteratively modifying the given mesh's connectivity to form single-wide sharp edges that can be easily detected by their dihedral angles. We show that the proposed method can robustly reconstruct sharp edges on feature-insensitive sampled meshes.
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ISSN:1077-2626
1941-0506
DOI:10.1109/TVCG.2006.60