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Approximate Poisson disk sampling on mesh
Poisson disk sampling has been widely used in many applications such as remeshing, procedural texturing, object distribution, illumination, etc. While 2D Poisson disk sampling is intensively studied in recent years, direct Poisson disk sampling on 2-manifold surface is rarely covered. In this paper,...
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Published in: | Science China. Information sciences 2013-09, Vol.56 (9), p.190-201 |
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creator | Geng, Bo Zhang, HuiJuan Wang, Heng Wang, GuoPing |
description | Poisson disk sampling has been widely used in many applications such as remeshing, procedural texturing, object distribution, illumination, etc. While 2D Poisson disk sampling is intensively studied in recent years, direct Poisson disk sampling on 2-manifold surface is rarely covered. In this paper, we present a novel framework which generates approximate Poisson disk distribution directly on mesh, a discrete representation of 2-manifold surfaces. Our framework is easy to implement and provides extra flexibility to specified sampling issues like feature-preserving sampling and adaptive sampling. We integrate the tensor voting method into feature detection and adaptive sample radius calculation. Remeshing as a special downstream application is also addressed. According to our experiment results, our framework is efficient, robust, and widely applicable. |
doi_str_mv | 10.1007/s11432-011-4322-8 |
format | article |
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subjects | Adaptive sampling Approximation Computer Science Disks Flexibility Illumination Information Systems and Communication Service Manifolds Mathematical analysis Representations Research Paper Sampling Tensors Texturing 应用 松 框架 特征检测 网格化 网格调整 自适应采样 采样网格 |
title | Approximate Poisson disk sampling on mesh |
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