人脸关键点检测汇总（Face Landmarks：68点/106点/1000点）

2018比较新的人脸关键点

https://blog.csdn.net/daniaokuye/article/details/82748599#commentBox

   FAN:时间5s

       DAN：时间1.5s

       openpose face：openpose主打的是2d人体姿态的估计，face只是其中一部分，不作为重点，点少，效果差，速度慢

       Vanilla CNN：

   VANface除了侧脸效果不好之外，其他都相当的好，精度和速度的完美结合，输入图片是60*60，网络也不是很深。

       https://talhassner.github.io/home/publication/2017_TPAMI_2 （作者的官网）

       https://github.com/ishay2b/VanillaCNN （网络原型代码）

       下面四个链接内容，模型或者用的都是第一个，或者都是来源于Vanilla CNN

              https://github.com/lsy17096535/face-landmark （轻量化网络，i7-7700 GPU-1060， 6ms+）
https://github.com/cooparation/VanillaCNN_faceLandmark （face-landmark同一个模型）
https://github.com/cunjian/face_alignment（i7-7700 GPU-1060， 2ms+，有做网络优化）

       look at boundary:  https://github.com/wywu/LAB

       face-landmark：https://github.com/jiangwqcooler/face-landmark-localization （暂时不清楚用的什么网络,，i7-7700 GPU-1060， 6ms+）

2018.10.18

级联MobileNet-V2实现CelebA人脸关键点检测（附训练源码）

https://www.ctolib.com/topics-130493.html

深度学习 人脸关键点检测方法----综述

https://blog.csdn.net/u011995719/article/details/78890333

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！以下内容为2015年及2015年以前的陈旧内容 ！

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转自：https://www.douban.com/note/525032729/

https://github.com/delphifirst/FaceX
https://github.com/ci2cv/face-analysis-sdk
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://mmlab.ie.cuhk.edu.hk/archive/CNN_FacePoint.htm
http://mmlab.ie.cuhk.edu.hk/projects/TCDCN.html
http://ibug.doc.ic.ac.uk/resources/fiducial-facial-point-detector-20052007/
http://ibug.doc.ic.ac.uk/resources/facial-point-detector-2010/
http://www.humansensing.cs.cmu.edu/intraface/
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

   check if it detects points or only align face
https://github.com/jwyang/face-alignment
https://github.com/soundsilence/FaceAlignment



   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


   Deep learning:
https://github.com/olddocks/caffe-facialkp
http://corpocrat.com/2015/02/24/facial-keypoints-extraction-using-deep-learning-with-caffe/
http://danielnouri.org/notes/2014/12/17/using-convolutional-neural-nets-to-detect-facial-keypoints-tutorial/


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

Kaggle  :
https://www.kaggle.com/c/facial-keypoints-detection/data


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


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

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