Iterative Brush Path Extraction Algorithm for Aiding Flock Brush Simulation of Stroke-Based Painterly Rendering

Painterly algorithms form an important part of non-photorealistic rendering (NPR) techniques where the primary aim is to incorporate expressive and stylistic qualities in the output. Extraction, representation and analysis of brush stroke parameters are essential for mapping artistic styles in strok...

Full description

Saved in:
Bibliographic Details
Published inEvolutionary and Biologically Inspired Music, Sound, Art and Design pp. 152 - 162
Main Authors Putri, Tieta, Mukundan, Ramakrishnan
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing 17.03.2016
SeriesLecture Notes in Computer Science
Subjects
Autonomous agents
Brush stroke extraction
Computational intelligence
Flock simulation
Non-photorealistic rendering
Painterly rendering
Swarm intelligence
Online AccessGet full text
ISBN9783319310077
3319310070
ISSN0302-9743
1611-3349
DOI10.1007/978-3-319-31008-4_11

Cover

More Information
Summary:Painterly algorithms form an important part of non-photorealistic rendering (NPR) techniques where the primary aim is to incorporate expressive and stylistic qualities in the output. Extraction, representation and analysis of brush stroke parameters are essential for mapping artistic styles in stroke based rendering (SBR) applications. In this paper, we present a novel iterative method for extracting brush stroke regions and paths for aiding a particle swarm based SBR process. The algorithm and its implementation aspects are discussed in detail. Experimental results are presented showing the painterly rendering of input images and the extracted brush paths.
ISBN:9783319310077
3319310070
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-31008-4_11