SEMANTIC CONSTRAINT TEXTURE SYNTHESIS

被引：0

作者：

Jin Qijiang ^{[1
]}

Wang Lili ^{[1
]}

Ma Zhiqiang ^{[1
]}

机构：

[1] Beihang Univ, State Key Lab Virtual Real Technol & Syst, Beijing 100191, Peoples R China

来源：

4TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER THEORY AND ENGINEERING ( ICACTE 2011) | 2011年

关键词：

Texture synthesis; Constraint synthesis; Feature analysis; Feature matching; IMAGE;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The existing texture synthesis methods can only synthesize texture with the same structure from the sample image. This paper presents a novel method to synthesize texture with different semantic structures. We focus on the analysis and processing for texture topology which is described with 2D mesh. Frist, the given topology is used to generate target texture mesh. Then the target mesh is used to constraint pixels synthesis. Our method can use one sample to synthesize textures with different topology, and is fit for both plane and 3D surface.

引用

页码：147 / 150

页数：4

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