62 lines
2.9 KiB
Text
62 lines
2.9 KiB
Text
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Copyright (c) 2013 Xiang Yu, yuxiang03@gmail.com
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The code is released with the ICCV 2013 paper in [1]. Further improvements are
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quite welcome. It is for research purpose only. Any merchandizing is prohibited.
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If you want to re-ensemble or improve the code, please contact the authors in
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[1] for permission.
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Code content:
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"demo.m" is the main entry for running the code.
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"face_detect_32" and "face_detect_64" folders contain the inferencing code
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(detecting code) from Zhu and Ramanan [3], we would thank them for sharing the
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code. Training code for the optimized model as described in the paper [1] is not
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included in this demo.
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"mex_32" and "mex_64" are mex wrappers of viola-jones face detector, feature
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extraction and matching.
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"test" folder contains images selected from multiple public databases.
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"Model" folder are the model parameters for face detecting. The original Point
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Distribution Model parameters have been provided by Saragih et al. [2] that was
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trained on Multi-PIE database. We would thank them for providing the resource.
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Besides, we added real 3D shape model trained from 3DFE database [4] in order
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to solve the pose problem.
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The code is provided as is. The authors in [1] have no responsibility for any
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debugging, improvement or environment setup.
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Landmark initialization ensembling:
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In order to robustly provide the initial landmarks for further fitting, we not
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only provide our optimized part mixture model (group_sparse_profile) but also
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ensembled Zhu-Ramanan detector(P146 model, detect_additional) [3] and viola-jones
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face detector to accomplish the task.
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Acknowledgement:
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We sincerely thank authors in [2] and [3] for their sharing of resource in
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developing the code. We also thank authors in [4] for the providing of 3D face
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database.
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References:
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[1] X.Yu, J. Huang, S. Zhang, W. Yan and D.N. Metaxas,
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Pose-free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded
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Deformable Shape Model.In ICCV 2013.
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[2] J. Saragih, S. Lucey and J. Cohn,
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Deformable Model Fitting by Regularized Landmark Mean-Shift. In IJCV 2010.
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[3] X. Zhu and D. Ramanan.
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Face detection, pose estimation and landmark localization in the wild. In CVPR
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2012.
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[4] Lijun Yin, Xiaozhou Wei, Yi Sun, Jun Wang and Matthew J. Rosato,
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A 3D Facial Expression Database For Facial Behavior Research.
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7th International Conference on Automatic Face and Gesture Recognition (FGR06),
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10-12 April 2006 P:211 - 216
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