"The average point-to-point Euclidean error normalized by the inter-ocular distance (measured as the Euclidean distance between the outer corners of the eyes)"
http://ibug.doc.ic.ac.uk/media/uploads/competitions/compute_error.m

"RMSE is very common and is a suitable general-purpose error metric. Compared to the Mean Absolute Error, RMSE punishes large errors"
https://www.kaggle.com/c/facial-keypoints-detection/details/evaluation

Kaggle Facial Keypoints Detection
https://github.com/mrgloom/Kaggle-Facial-Keypoints-Detection-Solutions



Explicit shape regression
https://github.com/delphifirst/FaceX
https://github.com/soundsilence/FaceAlignment
http://phg1024.github.io/CSCE625/

https://github.com/ci2cv/face-analysis-sdk  (http://face.ci2cv.net/)
https://github.com/uricamic/flandmark
http://cmp.felk.cvut.cz/~uricamic/flandmark/
http://cmp.felk.cvut.cz/~uricamic/clandmark/
https://github.com/uricamic/clandmark
https://github.com/dnouri/kfkd-tutorial
https://github.com/FaceDetect/jointCascade_py
https://github.com/zhusz/CVPR15-CFSS
http://ibug.doc.ic.ac.uk/resources/fiducial-facial-point-detector-20052007/
http://ibug.doc.ic.ac.uk/resources/facial-point-detector-2010/
https://github.com/kylemcdonald/FaceTracker
http://www.cl.cam.ac.uk/research/rainbow/projects/clmz/
Coarse-to-Fine Auto-Encoder Networks (CFAN) for Real-Time Face Alignment
http://vipl.ict.ac.cn/resources/codes
http://ibug.doc.ic.ac.uk/resources/drmf-matlab-code-cvpr-2013/


ASM/AAM
http://www.milbo.users.sonic.net/stasm/
https://github.com/cxcxcxcx/asmlib-opencv
http://uomasm.sourceforge.net/
https://github.com/greatyao/aamlibrary
https://github.com/greatyao/asmlibrary
https://github.com/jiapei100/VOSM

constrained local models
https://github.com/TadasBaltrusaitis/CLM-framework

"One Millisecond Face Alignment with an Ensemble of Regression Trees"
http://blog.dlib.net/2014/08/real-time-face-pose-estimation.html
http://www.csc.kth.se/~vahidk/face_ert.html

http://www.ics.uci.edu/~xzhu/face/
https://github.com/TadasBaltrusaitis/CLM-framework


https://github.com/yulequan/face-alignment-in-3000fps
https://github.com/jwyang/face-alignment
https://github.com/jwyang/face-alignment-cpp

https://github.com/AndrejMaris/facefit

http://www.vision.caltech.edu/xpburgos/ICCV13/

Joint Cascade Face Detection and Alignment
https://github.com/luoyetx/JDA

https://github.com/ChrisYang/RCPR
http://www.vision.caltech.edu/xpburgos/ICCV13/

https://github.com/TadasBaltrusaitis/OpenFace

Supervised Descent Method (SDM) for Face Alignment
https://github.com/tntrung/impSDM
https://github.com/patrikhuber/superviseddescent

Not sure 
https://github.com/elador/FeatureDetection
https://github.com/t0nyren/kbdetect
https://github.com/YuvalNirkin/find_face_landmarks

Deep learning:
http://mmlab.ie.cuhk.edu.hk/projects/TCDCN.html
http://mmlab.ie.cuhk.edu.hk/archive/CNN_FacePoint.htm
https://github.com/zhzhanp/TCDCN-face-alignment
https://github.com/RiweiChen/DeepFace
Recombinator Networks (in theano)
https://github.com/SinaHonari/RCN
Caffe
https://github.com/ishay2b/VanillaCNN (http://www.openu.ac.il/home/hassner/projects/tcnn_landmarks/)
https://github.com/luoyetx/deep-landmark
https://github.com/qiexing/caffe-regression
https://github.com/pminmin/caffe_landmark
https://github.com/feixuan090803/CNN-Face-Point-Detection
https://github.com/qiexing/face-landmark-localization
https://github.com/kpzhang93/MTCNN_face_detection_alignment
MatConvNet - maybe regression can be applyed to landmard detection task.
https://github.com/bazilas/matconvnet-deepReg

Tracker
https://github.com/cheind/dest

FANN:
https://github.com/olddocks/facialkeypoints

Javascript:
https://github.com/auduno/clmtrackr

Seems to be commercialized, closed source and not publicly available to download, not worth considering it:
http://www.humansensing.cs.cmu.edu/intraface/

Too simple algorithm, not worth considering it:
https://github.com/sdcoca/facex

http://www.researchgate.net/post/Which_facial_landmark_detection_tracking_software_is_publically_available_for_research
http://www.learnopencv.com/facial-landmark-detection/

https://github.com/luoyetx/face-alignment-presentation

http://www.milbo.org/muct/other-databases.html
[LFPW](http://neerajkumar.org/databases/lfpw/)|1432|29|
[HELEN](http://www.ifp.illinois.edu/~vuongle2/helen/)|2330|192
[AFW]()|?|?
[AFLW](https://lrs.icg.tugraz.at/research/aflw/)|?|?
[IBUG]()|?|68 (http://ibug.doc.ic.ac.uk/resources/300-W/)
[PUT]()|?|?
[XM2VTS](http://www.ee.surrey.ac.uk/CVSSP/xm2vtsdb/)|?|?
[ATVS](http://atvs.ii.uam.es/scfacedb_landmarks.html)|?|?|yes
[CACD](http://bcsiriuschen.github.io/CARC/)
[MUG](http://mug.ee.auth.gr/fed/)
[UMDFace](http://umdfaces.io/)

https://github.com/menpo/menpo
https://github.com/menpo/landmarker.io

"A comparative study of face landmarking techniques"
http://www.busim.ee.boun.edu.tr/~sankur/SankurFolder/Jour_JIVP_Landmarking.pdf
"Supervised Descent Method and its Applications to Face Alignment"
http://www.ri.cmu.edu/pub_files/2013/5/main.pdf
"Deep Convolutional Network Cascade for Facial Point Detection"
http://mmlab.ie.cuhk.edu.hk/archive/CNN/data/CNN_FacePoint.pdf
"One Millisecond Face Alignment with an Ensemble of Regression Trees" by Vahid Kazemi and Josephine Sullivan, CVPR 2014
http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Kazemi_One_Millisecond_Face_2014_CVPR_paper.pdf

https://github.com/soumith/convnet-benchmarks
https://github.com/ducha-aiki/caffenet-benchmark
https://github.com/DeepMark/deepmark
https://github.com/erikbern/ann-benchmarks
https://github.com/andrewssobral/bgslibrary
https://github.com/gnebehay/VOTR
https://bitbucket.org/rodrigob/doppia
https://github.com/foolwood/benchmark_results