A Novel Algorithm for Sampling Uniformly in the Directional Space of a Cone(Digital Signal Processing)

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概要

• 論文の詳細を見る

• We present a novel, simple, efficient algorithm to generate random samples uniformly on the directional space of a cone. This algorithm has three advantages over the conventional non-uniform approach. First, to the best of our knowledge, this algorithm is original for uniformly sampling smaller areas of cones. Second, it is faster. Third, it always generates valid samples, which is not possible for the conventional approach.

• 社団法人電子情報通信学会の論文
• 2006-09-01

著者

• Tsai Yuan-yu

  Institute Of Computer Science National Chung Hsing University

• WANG Chung-Ming

  Institute of Computer Science, National Chung Hsing University

• Wang Chung-ming

  Institute Of Computer Science National Chung Hsing University

• CHANG Chung-Hsien

  Institute of Computer Science, National Chung Hsing University

• HWANG Nen-Chin

  Institute of Computer Science, National Chung Hsing University

• Chang Chung-hsien

  Institute Of Computer Science National Chung Hsing University

• Hwang Nen-chin

  Institute Of Computer Science National Chung Hsing University

関連論文

• Data Hiding Approach for Point-Sampled Geometry(Fundamental Theories for Communications)
• A Novel Approach to Sampling the Coiled Tubing Surface with an Application for Monte Carlo Direct Lighting(Computer Graphics)
• A Novel Algorithm for Sampling Uniformly in the Directional Space of a Cone(Digital Signal Processing)

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