GPU-based interactive near-regular texture synthesis for digital human models

被引：0

作者：

Shen, Zhe ^{[1
,2
]}

Wu, Chao ^{[3
]}

Ding, Bin ^{[1
,2
]}

Yuan, Zhipeng ^{[2
]}

Zhang, Naisheng ^{[2
]}

Zhao, Meng ^{[1
,2
]}

Zhao, Yuan ^{[1
,2
]}

机构：

[1] Northeastern Univ, Shenyang, Liaoning, Peoples R China

[2] Northeastern Univ Qinhuangdao, Qinhuangdao, Hebei, Peoples R China

[3] Habei Agr Univ, Baoding, Habei, Peoples R China

来源：

TECHNOLOGY AND HEALTH CARE | 2017年 / 25卷

基金：

北京市自然科学基金;

关键词：

Interactive method; texture synthesis; 3D human model; near-regular texture; parallel computing; IMAGE;

D O I：

10.3233/THC-171339

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

Near-regular texture is a common feature for both nature scene and 3D human models. However, traditional texture synthesis has only been able to produce a single result. This study proposes a parallel, and interactive, method for the texture synthesis of irregular appearance in 3D human models. The new method includes two major procedures: (1) iterative edge extraction and processing, and (2) parallel texture synthesis, which generates a texture with higher quality. In this paper, the effectiveness of near-regular texture synthesis algorithm is demonstrated experimentally.

引用

页码：S357 / S365

页数：9

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