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Augmenting categorical emotion datasets with dimensional affect labels using face morphing

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Implementation of facial morphing and affect augmentation: MorphSet

Augmenting categorical emotion datasets into dimensional affect labels using face morphing

Requirements

dlib
opencv
jupyter notebook
python>=3.6

Demonstration

1. Start up Jupyter Notebook
2. Ensure that the sample images are in ./images 
3. Run morph_images.ipynb (more details available in the notebook)

Selection_037

Citation

If you find this work helpful, please cite:

@InProceedings{ICIP2021,
 author = "Vassilios Vonikakis, Dexter Neo and Stefan Winkler",
 title = "MorphSet: Augmenting categorical emotion datasets with dimensional affect labels using face morphing",
 booktitle = PROC # ICIP,
 year = 2021,
 address = "Anchorage",
}

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Augmenting categorical emotion datasets with dimensional affect labels using face morphing

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