2019.01.06

2018比較新的人臉關鍵點

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

??? FAN:時間5s
??? DAN：時間1.5s
??? openpose face：openpose主打的是2d人體姿態的估計，face只是其中一部分，不作為重點，點少，效果差，速度慢

??? Vanilla CNN：

??? VANface除了側臉效果不好之外，其他都相當的好，精度和速度的完美結合，輸入圖片是60*60，網絡也不是很深。

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

??????? https://github.com/ishay2b/VanillaCNN （網絡原型代碼）

??????? 下面四個鏈接內容，模型或者用的都是第一個，或者都是來源于Vanilla CNN

??????????????? https://github.com/lsy17096535/face-landmark （輕量化網絡，i7-7700 GPU-1060， 6ms+）
??????????????? https://github.com/cooparation/VanillaCNN_faceLandmark （face-landmark同一個模型）
??????????????? https://github.com/cunjian/face_alignment（i7-7700 GPU-1060， 2ms+，有做網絡優化）

??? look at boundary:? https://github.com/wywu/LAB
??? face-landmark：https://github.com/jiangwqcooler/face-landmark-localization （暫時不清楚用的什么網絡,，i7-7700 GPU-1060， 6ms+）

?

2018.10.18

級聯MobileNet-V2實現CelebA人臉關鍵點檢測（附訓練源碼）

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

深度學習人臉關鍵點檢測方法----綜述

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

--------------------------------------------------------------------

！以下內容為2015年及2015年以前的陳舊內容 ！

--------------------------------------------------------------------

轉自：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

創作挑戰賽新人創作獎勵來咯，堅持創作打卡瓜分現金大獎

總結

以上是生活随笔為你收集整理的【face-landmarks】人脸关键点检测汇总的全部內容，希望文章能夠幫你解決所遇到的問題。

如果覺得生活随笔網站內容還不錯，歡迎將生活随笔推薦給好友。