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Expressive expression mapping with ratio images
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Source International Conference on Computer Graphics and Interactive Techniques archive
Proceedings of the 28th annual conference on Computer graphics and interactive techniques table of contents
Pages: 271 - 276  
Year of Publication: 2001
ISBN:1-58113-374-X
Authors
Zicheng Liu  Microsoft Research
Ying Shan  Microsoft Research
Zhengyou Zhang  Microsoft Research
Sponsor
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 11,   Downloads (12 Months): 82,   Citation Count: 20
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ABSTRACT

Facial expressions exhibit not only facial feature motions, but also subtle changes in illumination and appearance (e.g., facial creases and wrinkles). These details are important visual cues, but they are difficult to synthesize. Traditional expression mapping techniques consider feature motions while the details in illumination changes are ignored. In this paper, we present a novel technique for facial expression mapping. We capture the illumination change of one person's expression in what we call an expression ratio image (ERI). Together with geometric warping, we map an ERI to any other person's face image to generate more expressive facial expressions.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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CITED BY  21

Collaborative Colleagues:
Zicheng Liu: colleagues
Ying Shan: colleagues
Zhengyou Zhang: colleagues