Informative algorithms related to opencv

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Based on the idea proposed in Informative websites related to OpenCV by Sturkmen, I think that it would also be useful to create a list about implementations based on papers and publications:

1. implemented with OpenCV and/or
2. that can be used/integrated easily with OpenCV

(maybe one toy example with each one would be fantastic)

As OpenCV is under the open-source BSD license, it would also be interesting that these algorithms would be BSD or similar. So, I am going to put my list (Maybe some algorithms should not be in this list, so do it together!).

TRACKING

• Object tracking

• Real-time Compressive Tracking

(http://www4.comp.polyu.edu.hk/~cslzha...) implementation integrated with opencv

Zhang, K., Zhang, L., & Yang, M. H. (2012). Real-time compressive tracking. In Computer Vision–ECCV 2012 (pp. 864-877). Springer Berlin Heidelberg.

• Accurate scale estimation for robust visual tracking

Implemented in DLIB library http://dlib.net/

Danelljan, M., Häger, G., Khan, F., & Felsberg, M. (2014). Accurate scale estimation for robust visual tracking. In British Machine Vision Conference, Nottingham, September 1-5, 2014. BMVA Press. (winning algorithm from last year's Visual Object Tracking Challenge. )

FACE PROCESSING

• Face pre-processing

• Tan&Triggs processing

A efficient image pre-processing normalization algorithm to deal with difficult lighting conditions: Tan, X., & Triggs, B. (2010). Enhanced local texture feature sets for face recognition under difficult lighting conditions. Image Processing, IEEE Transactions on, 19(6), 1635-1650.

implementation: https://github.com/bytefish/opencv/bl... (BSD license)

• Real-Time Face Pose Estimation

One Millisecond Face Alignment with an Ensemble of Regression Trees Kazemi, V., & Sullivan, J. (2014, June). One millisecond face alignment with an ensemble of regression trees. In Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on (pp. 1867-1874). IEEE.

Implemented in DLIB library http://dlib.net/

demo snippet: https://gist.github.com/berak/b23262a...

• Face landmarks detector (face alignment)

Cao X, Wei Y, Wen F, et al. Face alignment by explicit shape regression[J]. International Journal of Computer Vision, 2014, 107(2): 177-190.

implementation: https://github.com/delphifirst/FaceX/

demo snippet: https://gist.github.com/berak/79aeb39...

• Eye localization: Average of Synthetic Exact Filters

Bolme, D. S., Draper, B., & Beveridge, J. R. (2009, June). Average of synthetic exact filters. In Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on (pp. 2105-2112). IEEE.

implementation: https://github.com/laoyang/ASEF

• Eye localization: Accurate eye centre localisation by means of gradient

Timm, F., & Barth, E. (2011, March). Accurate Eye Centre Localisation by Means of Gradients. In VISAPP (pp. 125-130).

implementation: https://github.com/trishume/eyeLike

• Eye pupil localization (tracking)

Markuš, N., Frljak, M., Pandžić, I. S., Ahlberg, J., & Forchheimer, R. (2014). Eye pupil localization with an ensemble of randomized trees. Pattern recognition, 47(2), 578-587.

implementation: https://github.com/chrisjryan/eye-tra...

youtube video: https://www.youtube.com/watch?v=7J30y...

(This method uses the OpenCV library to identify eyes on faces and prepare these sub-images with previously-landmarked pupil information.)

FACE DETECTION

• PICO Face detection

N. Markus, M. Frljak, I. S. Pandzic, J. Ahlberg and R. Forchheimer, "Object ...