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CLC number: TP391.9

On-line Access: 2013-07-05

Received: 2012-12-29

Revision Accepted: 2013-05-09

Crosschecked: 2013-06-06

Cited: 2

Clicked: 2616

Citations:  Bibtex RefMan EndNote GB/T7714

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Journal of Zhejiang University SCIENCE C 2013 Vol.14 No.7 P.530-541


Portrait drawing from corresponding range and intensity images

Author(s):  Lu Wang, Li-ming Lou, Cheng-lei Yang, Yue-zhu Huang, Xiang-xu Meng

Affiliation(s):  Department of Computer Science and Technology, Shandong University, Jinan 250101, China; more

Corresponding email(s):   luwang_hcivr@sdu.edu.cn, lou.li.mingllm@gmail.com

Key Words:  Portrait drawing, Line drawing, Geometric lines, Textured lines, Caricature, Exaggeration

Lu Wang, Li-ming Lou, Cheng-lei Yang, Yue-zhu Huang, Xiang-xu Meng. Portrait drawing from corresponding range and intensity images[J]. Journal of Zhejiang University Science C, 2013, 14(7): 530-541.

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A1 - Lu Wang
A1 - Li-ming Lou
A1 - Cheng-lei Yang
A1 - Yue-zhu Huang
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.CIDE1306

We propose a real-time rendering system for automatically creating a caricature drawing, i.e., an exaggerated portrait, of a human face, based on simultaneous use of a range image (or 3D mesh) and a registered photograph of the same face. Combining these information sources provides complementary information. Significant geometric lines such as occluding contours and suggestive contours are extracted from the range data, while textured areas corresponding to shading features are extracted from the photograph. These are combined, and then distorted to produce the final caricature. The final output may be produced using a choice of non-photorealistic rendering styles. Our system method works well for low resolution range images; for these it is fast enough to allow the viewpoint to be chosen in real time. The final output combines significant lines, textured areas, and optional shading, giving a pleasing result which preserves not only the shape cues of the geometric description, but also other essential visual characteristics of the facial image that cannot be deduced from geometry alone.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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