IMAGE-BASED PAINTERLY RENDERING BY EVOLUTIONARY ALGORITHM

被引：0

作者：

Chakraborty, Uday K. ^{[1
]}

Kang, Hyung W. ^{[1
]}

Wang, Paul P. ^{[2
]}

机构：

[1] Univ Missouri, Dept Math & Comp Sci, One Univ Blvd, St Louis, MO 63121 USA

[2] Duke Univ, Dept Elect & Comp Engn, Durham, NC 27708 USA

来源：

NEW MATHEMATICS AND NATURAL COMPUTATION | 2007年 / 3卷 / 02期

关键词：

Non-photorealistic rendering; painterly rendering; computer graphics; optimization; evolutionary algorithm;

D O I：

10.1142/S1793005707000732

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

This paper presents an effective method based on genetic algorithm for optimizing the rendering quality in image-based painterly rendering. Based on a multi-level evolutionary approach, the proposed method produces, for a variety of input images, results that are better in a statistically significant way than previous methods.

引用

页码：239 / 257

页数：19

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