Poisson disk sampling through disk packing

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• 作者：Guanghui Liang ; Lin Lu ; Zhonggui Chen ; Chenglei Yang
• 关键词：disk packing ; image stippling ; Poisson disk sampling ; power diagram
• 刊名：Computational Visual Media
• 出版年：2015
• 出版时间：March 2015
• 年：2015
• 卷：1
• 期：1
• 页码：17-26
• 全文大小：4985KB
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• 作者单位：Guanghui Liang (1)
  Lin Lu (1)
  Zhonggui Chen (2)
  Chenglei Yang (1)
  
  1. School of Computer Science and Technology, Shandong University, Jinan, 250101, China
  2. Department of Computer Science, Xiamen University, Xiamen, 361005, China
  
• 刊物类别：Computer Graphics; User Interfaces and Human Computer Interaction; Artificial Intelligence (incl. Ro
• 刊物主题：Computer Graphics; User Interfaces and Human Computer Interaction; Artificial Intelligence (incl. Robotics); Image Processing and Computer Vision;
• 出版者：Springer Berlin Heidelberg
• ISSN：2096-0662

文摘

Poisson disk sampling is an important problem in computer graphics and has a wide variety of applications in imaging, geometry, rendering, etc. In this paper, we propose a novel Poisson disk sampling algorithm based on disk packing. The key idea uses the observation that a relatively dense disk packing layout naturally satisfies the Poisson disk distribution property that each point is no closer to the others than a specified minimum distance, i.e., the Poisson disk radius. We use this property to propose a relaxation algorithm that achieves a good balance between the random and uniform properties needed for Poisson disk distributions. Our algorithm is easily adapted to image stippling by extending identical disk packing to unequal disks. Experimental results demonstrate the efficacy of our approaches. Keywords disk packing image stippling Poisson disk sampling power diagram