Presentation 1998/2/4
Euclidean Structure from Two Uncalibrated Images : Synthesis of Facial Expressions on Arbitrary Viewpoints
Katsunori ISONO, Zhengyou Zhang, Shigeru AKAMATSU,
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Abstract(in English) The methods for synthesizing facial images with arbitrary expressions on arbitrary viewpoints are applied to a lot of applications such as low bandwidth video conferencing. In this paper, our goal is to reconstruct Euclidean structure of a face with expressions from 2 uncalibrated real images using a knowledge for expression. What we have is the knowledge about the object category(faces in our case). Therefore, the recovered Euclidean structure is not necessarily a precise Euclidean description of that object, but is useful for many applications such as new image synthesis. By using this technique, Euclidean structure with expression was reconstructed and synthesizing new images achieved a fairly good performance.
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Keyword(in English) 3D Reconstruction / Uncalibrated Image / Image Synthesis / Facial Expressions
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Conference Date 1998/2/4(1days)
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Language JPN
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Title (in English) Euclidean Structure from Two Uncalibrated Images : Synthesis of Facial Expressions on Arbitrary Viewpoints
Sub Title (in English)
Keyword(1) 3D Reconstruction
Keyword(2) Uncalibrated Image
Keyword(3) Image Synthesis
Keyword(4) Facial Expressions
1st Author's Name Katsunori ISONO
1st Author's Affiliation ATR Human Information Processing Research Laboratories()
2nd Author's Name Zhengyou Zhang
2nd Author's Affiliation INRIA Sophia-Antipolis, France
3rd Author's Name Shigeru AKAMATSU
3rd Author's Affiliation ATRHuman Information Processing Research Laboratories
Date 1998/2/4
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Volume (vol) vol.97
Number (no) 527
Page pp.pp.-
#Pages 6
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