IMAGE-BASED PAINTERLY RENDERING BY EVOLUTIONARY ALGORITHM

Henry Kang; Uday K. Chakraborty; Paul P Wang

doi:10.1142/S1793005707000732

IMAGE-BASED PAINTERLY RENDERING BY EVOLUTIONARY ALGORITHM

Henry Kang, Uday K. Chakraborty, Paul P Wang

University of Missouri-St. Louis

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	American English
Journal	New Mathematics and Natural Computation
Volume	3
DOIs	https://doi.org/10.1142/S1793005707000732
State	Published - 2007

Keywords

Non-photorealistic rendering
computer graphics
evolutionary algorithm
optimization
painterly rendering

Disciplines

Computer Sciences

Access to Document

10.1142/S1793005707000732License: Unspecified

Cite this

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title = "IMAGE-BASED PAINTERLY RENDERING BY EVOLUTIONARY ALGORITHM",

abstract = " 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. ",

keywords = "Non-photorealistic rendering, computer graphics, evolutionary algorithm, optimization, painterly rendering",

author = "Henry Kang and Chakraborty, {Uday K.} and Wang, {Paul P}",

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language = "American English",

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journal = "New Mathematics and Natural Computation",

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AU - Chakraborty, Uday K.

AU - Wang, Paul P

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PY - 2007

Y1 - 2007

N2 - 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.

AB - 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.

KW - Non-photorealistic rendering

KW - computer graphics

KW - evolutionary algorithm

KW - optimization

KW - painterly rendering

UR - https://www.worldscientific.com/doi/abs/10.1142/S1793005707000732

U2 - 10.1142/S1793005707000732

DO - 10.1142/S1793005707000732

M3 - Article

VL - 3

JO - New Mathematics and Natural Computation

JF - New Mathematics and Natural Computation

ER -

IMAGE-BASED PAINTERLY RENDERING BY EVOLUTIONARY ALGORITHM

Abstract

Keywords

Disciplines

Access to Document

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