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GPU-based skin texture synthesis for digital human model

Issue title: Frontiers in Biomedical Engineering and Biotechnology – Proceedings of the 3rd International Conference on Biomedical Engineering and Biotechnology, 25–28 September 2014, Beijing, China

Article type: Research Article

Authors: Shen, Zhe; | Wang, Lili | Zhao, Yaqian | Zhao, Qinping | Zhao, Meng

Affiliations: State Key Laboratory of Virtual Reality Technology, Beihang University, Beijing, China | Northeastern University at Qinhuangdao, Qinhuangdao, China

Note: [] Corresponding author: Zhe Shen, State Key Laboratory of Virtual Reality Technology, Beihang University, Beijing, China. Tel.: +86 135 8179 4654; Fax: +86 10 8233 9903; E-mail: shenzhe@vrlab.buaa.edu.cn.

Keywords: Texture synthesis, virtual human, parallel computing, L2 normal form

DOI: 10.3233/BME-141034

Journal: Bio-Medical Materials and Engineering, vol. 24, no. 6, pp. 2219-2227, 2014

Published: 2014
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Abstract

Skin synthesis is important for the actual appearance of digital human models. However, it is difficult to design a general algorithm to efficiently produce high quality results. This paper proposes a parallel texture synthesis method for large scale skin of digital human models. Two major procedures are included in this method, a parallel matching procedure and a multi-pass optimizing procedure. Compared with other methods, this algorithm is easy to use, requires only a small size of skin image as input, and generates an arbitrary size of skin texture with high quality. As demonstrated by experiments, the effectiveness of this skin texture synthesis method is confirmed.

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