AI Article Synopsis
- Many computer graphics apps sample surfaces of 3D shapes on a regular grid, which doesn't adapt to sharp features, leading to errors in triangular meshes around those edges.
- This paper introduces a technique using bilateral filters to enhance and recover sharp edges in those poorly sampled triangular meshes.
- The method identifies regions with sharp features and modifies the mesh's connections to create distinct sharp edges that can be easily identified, demonstrating effective reconstruction on feature-insensitive sampled meshes.
Article Abstract
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 singlewide 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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| http://dx.doi.org/10.1109/TVCG.2006.60 | DOI Listing |
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