Generalized anisotropic stratified surface sampling

We introduce a novel stratified sampling technique for mesh surfaces that gives the user control over sampling density and anisotropy via a tensor field. Our approach is based on sampling space-filling curves mapped onto mesh segments via parametrizations aligned with the tensor field. After a short...

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Veröffentlicht in:IEEE transactions on visualization and computer graphics. - 1998. - 19(2013), 7 vom: 09. Juli, Seite 1143-57
1. Verfasser: Quinn, Jonathan A (VerfasserIn)
Weitere Verfasser: Langbein, Frank C, Lai, Yu-Kun, Martin, Ralph R
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2013
Zugriff auf das übergeordnete Werk:IEEE transactions on visualization and computer graphics
Schlagworte:Journal Article Research Support, Non-U.S. Gov't
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520 |a We introduce a novel stratified sampling technique for mesh surfaces that gives the user control over sampling density and anisotropy via a tensor field. Our approach is based on sampling space-filling curves mapped onto mesh segments via parametrizations aligned with the tensor field. After a short preprocessing step, samples can be generated in real time. Along with visual examples, we provide rigorous spectral analysis and differential domain analysis of our sampling. The sample distributions are of high quality: they fulfil the blue noise criterion, so have minimal artifacts due to regularity of sampling patterns, and they accurately represent isotropic and anisotropic densities on the plane and on mesh surfaces. They also have low discrepancy, ensuring that the surface is evenly covered 
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700 1 |a Lai, Yu-Kun  |e verfasserin  |4 aut 
700 1 |a Martin, Ralph R  |e verfasserin  |4 aut 
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