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17 lines
970 B
Plaintext
17 lines
970 B
Plaintext
This code is in support of the "Convolutional experts constrained local model
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for 3d facial landmark detection" paper by Amir Zadeh, Yao Chong Lim,
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Tadas Baltrusaitis, and Louis-Philippe Morency. The code is based on
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support code of the "Constrained Local Neural Fields for robust facial
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landmark detection in the wild" paper by Tadas Baltrusaitis, Peter Robinson, and Louis-Philippe Morency.
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This folder provides the code for generating patches used in training the patch experts.
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You have to have the relevant datasets, to run the code, the in-the-wild
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datasets can be found at http://ibug.doc.ic.ac.uk/resources/facial-point-annotations/),
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the annotations are provided. The Multi-PIE dataset can be acquired from -
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http://www.multipie.org/, you will need to ask the authors of the dataset for the annotations.
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./data_preparation/ folder contains scripts to prepare data for patch generation
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./scripts/ contains the scripts to generate the patches for training.
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