Multi-scale Stroke-based Rendering by Evolutionary Algorithm

Wenjie He; Uday Kumar Chakraborty; Charles K. Chui; Hyung W. Kang

Multi-scale Stroke-based Rendering by Evolutionary Algorithm

Wenjie He, Uday Kumar Chakraborty, Charles K. Chui, Hyung W. Kang

University of Missouri-St. Louis

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

 This paper presents an efficient method based on evolutionary algorithm for optimizing the rendering quality in
 multi-scale stroke-based non-photorealistic rendering. The proposed method produces better results than previously
 published methods such as random descent and the singlelevel genetic algorithm-based approach.

Original language	American English
Title of host publication	International Workshop on Frontiers of Evolutionary Algorithms
State	Published - 2005

Disciplines

Mathematics

Cite this

@inbook{917fc67a9fbd41d4b95c2ae70bd9c794,

title = "Multi-scale Stroke-based Rendering by Evolutionary Algorithm",

abstract = " This paper presents an efficient method based on evolutionary algorithm for optimizing the rendering quality in multi-scale stroke-based non-photorealistic rendering. The proposed method produces better results than previously published methods such as random descent and the singlelevel genetic algorithm-based approach.",

author = "Wenjie He and Chakraborty, {Uday Kumar} and Chui, {Charles K.} and Kang, {Hyung W.}",

year = "2005",

language = "American English",

booktitle = "International Workshop on Frontiers of Evolutionary Algorithms",

}

TY - CHAP

T1 - Multi-scale Stroke-based Rendering by Evolutionary Algorithm

AU - He, Wenjie

AU - Chakraborty, Uday Kumar

AU - Chui, Charles K.

AU - Kang, Hyung W.

PY - 2005

Y1 - 2005

N2 - This paper presents an efficient method based on evolutionary algorithm for optimizing the rendering quality in multi-scale stroke-based non-photorealistic rendering. The proposed method produces better results than previously published methods such as random descent and the singlelevel genetic algorithm-based approach.

AB - This paper presents an efficient method based on evolutionary algorithm for optimizing the rendering quality in multi-scale stroke-based non-photorealistic rendering. The proposed method produces better results than previously published methods such as random descent and the singlelevel genetic algorithm-based approach.

UR - https://www.umsl.edu/mathcs/about/People/Faculty/WenjieHe/He%20he%20Wen/Multiscale.pdf

M3 - Chapter

BT - International Workshop on Frontiers of Evolutionary Algorithms

ER -

Multi-scale Stroke-based Rendering by Evolutionary Algorithm

Abstract

Disciplines

Other files and links

Cite this