 Ph.D. |
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| Ph.D. |
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Transferring facial actions from a source subject to the target from one target image with netural expression. [ECCV, 2012]
Simple Idea:
Directly copy the appearance changes of the source to the target subject, produce artifacts on the target ... Not Working
Key Idea: personalize the appearance changes for FAT
1, Learn a regression to predict appearance changes from shape changes (with respect to the neutral);
2, Personalize the regression using one target neutral face image.
Two Steps:
Step(i): Transfer shape changes from the source by jointly applying the local triangle deformation to the target neutral face ;
Step(ii): Estimate the appearence changes from the shape changes using a personalized regression for the target person.
Results:
Source Exp: face of the source subject with expression
Target Neu: face of the Target subject with netural expression
Copy: (Simple idear abve)
Per-Spec: FAT by a regression learned from samples of the target subject (difficult to get the data; may fail to represent the facial action transfered from the source)
Generic: FAT by a regression learned all data of some training subjects (represent the averaged appearance changes of the training subjects)
Personal (Our approach): FAT by a regression persalized only from one neutral face of the target subject
I, FAT between different subjects:
| Source Exp | Target Neu | Copy | Per-Spec | Generic | Personal |
II, Facial De-identification: removing the facial feature of the source subject while preserving the facial action
| Source Exp | Target Neu | Per-Spec | Generic | Personal |
