Title:
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Point sampling with uniformly distributed lines
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Author:
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Rovira, Jordi; Wonka, Peter; Castro Villegas, Francesc; Sbert, Mateu
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Abstract:
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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 |
Subject(s):
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-Algorismes computacionals -Geometria computacional -Imatgeria tridimensional -Polígons -Computer algorithms -Computational geometry -Polygons -Three-dimensional imaging |
Rights:
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Tots els drets reservats
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Document type:
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Article |
Published by:
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IEEE
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Share:
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