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| Content Provider | ACM Digital Library |
|---|---|
| Author | Yang, Fei Wang, Jue Shechtman, Eli Bourdev, Lubomir Metaxas, Dimitri |
| Abstract | We address the problem of correcting an undesirable expression on a face photo by transferring local facial components, such as a smiling mouth, from another face photo of the same person which has the desired expression. Direct copying and blending using existing compositing tools results in semantically unnatural composites, since expression is a global effect and the local component in one expression is often incompatible with the shape and other components of the face in another expression. To solve this problem we present Expression Flow, a 2D flow field which can warp the target face globally in a natural way, so that the warped face is compatible with the new facial component to be copied over. To do this, starting with the two input face photos, we jointly construct a pair of 3D face shapes with the same identity but different expressions. The expression flow is computed by projecting the difference between the two 3D shapes back to 2D. It describes how to warp the target face photo to match the expression of the reference photo. User studies suggest that our system is able to generate face composites with much higher fidelity than existing methods. |
| Starting Page | 1 |
| Ending Page | 10 |
| Page Count | 10 |
| File Format | PDF MP4 |
| ISBN | 9781450309431 |
| DOI | 10.1145/1964921.1964955 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2011-08-07 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Image warping Facial component Face modeling Facial flow Facial expression |
| Content Type | Audio Text |
| Resource Type | Article |
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