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The Dynamic Ordinal Classification (DOC) Toolbox contains different sequence classification methods including Conditional Ordinal Random Fields (CORF), Hidden Conditional Ordinal Random Fields (HCORF), Conditional Random Fields (CRF) , Hidden Conditional Random Fields (HCRF) and Variable State Latent Conditional Random Fields (VSL-CRF).
This Toolbox is a collection of open source functions implemented in Matlab.
Download code here. Please follow the instructions in the README file.
Code released as is **for research purposes only**
Feel free to modify/distribute but please cite the papers:
[1] R. Walecki, O. Rudovic, V. Pavlovic, M. Pantic. "Variable-state Latent Conditional Random Fields for Facial Expression Recognition and Action Unit Detection" Proceedings of IEEE International Conference on Automatic Face and Gesture Recognition (FG'15). Ljubljana, Slovenia, pp. 1 - 8, May 2015. (pdf)
[2] O. Rudovic, V. Pavlovic, M. Pantic. "Multi-output Laplacian Dynamic Ordinal Regression for Facial Expression Recognition and Intensity Estimation" Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2012). Providence, USA, pp. 2634 - 2641, June 2012. (pdf)
contact: orudovic@imperial.ac.uk