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Title of Journal: J Comput Sci Technol

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Abbravation: Journal of Computer Science and Technology

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Springer US

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DOI

10.1007/s00572-002-0166-9

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1860-4749

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Stroke Style Analysis for Painterly Rendering

Authors: Yu Zang Hua Huang ChenFeng Li
Publish Date: 2013/09/17
Volume: 28, Issue: 5, Pages: 762-775
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Abstract

We propose a novel method that automatically analyzes strokerelated artistic styles of paintings A set of adaptive interfaces are also developed to connect the style analysis with existing painterly rendering systems so that the specific artistic style of a template painting can be effectively transferred to the input photo with minimal effort Different from conventional texturesynthesis based rendering techniques that focus mainly on texture features this work extracts analyzes and simulates highlevel style features expressed by artists’ brush stroke techniques Through experiments user studies and comparisons with ground truth we demonstrate that the proposed styleorientated painting framework can significantly reduce tedious parameter adjustment and it allows amateur users to efficiently create desired artistic styles simply by specifying a template painting

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