计算机工程 ›› 2012, Vol. 38 ›› Issue (15): 208-210,214.doi: 10.3969/j.issn.1000-3428.2012.15.058

• 图形图像处理 • 上一篇    下一篇

基于样图的层式体纹理合成算法

邹 昆1,沃 焱2,张见威2   

  1. (1. 电子科技大学中山学院计算机学院,广东 中山 528402;2. 华南理工大学计算机科学与工程学院,广州 510006)
  • 收稿日期:2012-02-24 出版日期:2012-08-05 发布日期:2012-08-05
  • 作者简介:邹 昆(1980-),男,讲师、博士,主研方向:图形图像处理;沃 焱、张见威,副教授、博士
  • 基金项目:
    国家自然科学基金资助项目(61003270);广东省自然科学基金资助项目(10452840301004638)

Layered Solid Texture Synthesis Algorithm Based on Sample

ZOU Kun 1, WO Yan 2, ZHANG Jian-wei 2   

  1. (1. School of Computer, Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan 528402, China; 2. School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China)
  • Received:2012-02-24 Online:2012-08-05 Published:2012-08-05

摘要: 针对深度方向上具有特征差异的层式纹理,提出一种基于样图的体纹理合成算法。采用基于全局优化的合成框架,在预处理中生成反映样图深度方向上特征差异的特征分布图,将其纳入相似性度量,合成时考虑3个正交方向上的邻域相似性,并利用k相关性搜索进行迭代优化。实验结果表明,该算法能保证合成纹理在深度方向上特征分布的相似性及水平截面的特征合理性,具有较高的合成质量和较快的收敛速度。

关键词: 层式纹理, 体纹理合成, 特征分布图, k相关性搜索, 迭代优化, 样图

Abstract: A solid texture synthesis algorithm is proposed to synthesize layered textures which have varying statistical features along the depth direction. It employs the global optimization-based synthesis framework. In preprocessing, a feature distribution map that reflects the varying statistical features along the depth direction of the sample is generated, and it is involved in the similarity measurement. During synthesis, the neighborhood similarity in three orthogonal directions is considered, and k-coherence search is utilized in the iterative optimization. Experimental results show that the algorithm can produce high quality results which bare reasonable feature distributions both along the depth direction and in horizontal slices, and it converges quickly.

Key words: layered texture, solid texture synthesis, feature distribution map, k-coherence search, iterative optimization, sample

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