3000fps论文链接:
SDM论文链接:
- Supervised Descent Method and its Applications to Face Alignment
- Supervised Descent Method
- Global Supervised Descent Method
- Supervised Descent Method for Solving Nonlinear Least Squares Problems in Computer Vision
- 我总结的sdm方法ppt
- 我总结的sdm方法文档
3000fps:
- luoyetx/face-alignment-at-3000fps(C++)
- freesouls/face-alignment-at-3000fps(C++)
- yulequan/face-alignment-in-3000fps(C++)
- jwyang/face-alignment(matlab)
- jwyang/face alignment in 3000fps with C++
- soundsilence/FaceAlignment
SDM:
- patrikhuber/superviseddescent(C++11)
- patrikhuber/superviseddescent说明
- IntraFace(SDM官网)
- SDM作者主页
- IntraFace说明
- tntrung/impSDM(matlab)
- IntraFace 官方给的代码,可直接运行
- Face Alignment 最近几年paper收集
- An Empirical Study of Recent Face Alignment Methods
- Heng Yang @ Cambridge
- flandmark : Open-source implementation of facial landmark detector
- Supervised Descent Method Face Alignment 代码下载和算法研究
- 浅谈随机森林在人脸对齐上的应用~
- Face Alignment at 3000 FPS via Regressing Local Binary Features(luoyetx'blog)
- Face alignment at 3000FPS via Regressing Local Binrary features 理解
- C++实现和解读Face Alignment at 3000fps via Local Binary Feature
- SDM ppt
- 3000fps ppt
- Face Alignment at 3000FPS(C++版)工程配置
- Face Alignment at 3000FPS(matlab)工程配置
- dlib :https://github.com/davisking/dlib/tree/v18.18 评价:速度快,可商用,有些时候不太准确
- CLM-framework: https://github.com/TadasBaltrusaitis/CLM-framework, 新版已经改为OpenFace,见:https://github.com/TadasBaltrusaitis/OpenFace 评价:很准确,不可商用
- Face Detection, Pose Estimation and Landmark Localization in the Wild :http://www.ics.uci.edu/~xzhu/face/ 评价:Very slow (~10 seconds an image after hyper threading on a 8-core CPU), but very accurate when it comes to high pose variations
- SDM patrikhuber/superviseddescent:https://github.com/patrikhuber/superviseddescent 评价:Nicely written C++ code, though not very robust
- Robust face landmark estimation under occlusion:http://www.vision.caltech.edu/xpburgos/ICCV13/ 评价:Specially designed for handling occlusions(遮挡区域), but slow on account being written in MATLAB.
- 应用了CLM的项目:https://www.technologyreview.com/s/541866/this-car-knows-your-next-misstep-before-you-make-it/ 评价:I actually explored a large number of open-source facial landmark detectors for a project, and found the CLM framework to outperform everything else (in terms of both speed and accuracy). We eventually used it in our project: www.technologyreview.com/news/...
- clandmark:https://github.com/uricamic/clandmark
- kylemcdonald/FaceTracker:https://github.com/kylemcdonald/FaceTracker
- ++Android appfor facial landmark tracking++(点击下载):https://github.com/ajdroid/facetrackerapp 评价:安装该app需要OpenCV Manager,我已提供链接.。 至于效果,不是很好,需要优化。不过上面提供了编写jni的代码,对于编写C++的API应该会有帮助。
- kylemcdonald/FaceTracker:https://github.com/kylemcdonald/FaceTracker
- ofxFaceTracker:https://github.com/kylemcdonald/ofxFaceTracker
##参考文献 http://www.learnopencv.com/facial-landmark-detection/#comment-2471797375