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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Bibliographic Details
Published in:Science China. Information sciences 2013-09, Vol.56 (9), p.190-201
Main Authors: Geng, Bo, Zhang, HuiJuan, Wang, Heng, Wang, GuoPing
Format: Article
Language:English
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
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Summary: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.
ISSN:1674-733X
1869-1919
DOI:10.1007/s11432-011-4322-8