Ítem
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Rovira, Jordi
Wonka, Peter Castro Villegas, Francesc Sbert, Mateu |
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| 5 juny 2018 | |
| In this paper we address the problem of extracting representative point samples from polygonal models. The goal of such a sampling algorithm is to find points that are evenly distributed. We propose star-discrepancy as a measure for sampling quality and propose new sampling methods based on global line distributions. We investigate several line generation algorithms including an efficient hardware-based sampling method. Our method contributes to the area of point-based graphics by extracting points that are more evenly distributed than by sampling with current algorithms | |
| http://hdl.handle.net/2072/320727 | |
| eng | |
| IEEE | |
| Tots els drets reservats | |
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Algorismes computacionals
Geometria computacional Imatgeria tridimensional Polígons Computer algorithms Computational geometry Polygons Three-dimensional imaging |
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| Point sampling with uniformly distributed lines | |
| info:eu-repo/semantics/article | |
| Recercat |
