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
收藏
页码：S357 / S365
页数：9
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