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Improved silhouette rendering and detection of splat-based models
•Removal of artifacts on silhouettes in splat-based models.•Efficient silhouette detection of splat-based models on object space.•Silhouette detection can be used for non-photorealistic renderings.•Good trade-off between quality and efficiency of splat-based rendering. [Display omitted] Surface spla...
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Published in: | Computers & graphics 2020-12, Vol.93, p.39-50 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | •Removal of artifacts on silhouettes in splat-based models.•Efficient silhouette detection of splat-based models on object space.•Silhouette detection can be used for non-photorealistic renderings.•Good trade-off between quality and efficiency of splat-based rendering.
[Display omitted]
Surface splatting has proven to be a good approach to render point-based models. The technique keeps the simplicity of point based models with a high quality rendering due to local filtering between the samples. However, silhouettes and sharp features are noticed as high frequency variations on image-space. Thus, filtering cannot hide artifacts to appear next to these areas without an explicit approach, mainly on bad sampling conditions as low density of samples. In this paper, we present a new curved splat approach, called here quadric splat, which improves rendering of a model near silhouette and sharp features. These quadric splats may be placed on a surface using any sampling process applying our proposed error metric. We also propose a simple method to detect splats near silhouettes on object-space. This approach allows an efficient silhouette detection on GPUs. Our silhouette detection was applied on a surface splatting pipeline aiming to render quadric splats only where their effect is more noticed, but the technique is independent and can be applied even for non-realistic rendering of splat-based models. |
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ISSN: | 0097-8493 1873-7684 |
DOI: | 10.1016/j.cag.2020.09.010 |