深度匹配-基于双目摄像头的标定+深度匹配实现-附项目源码-优质项目实战.zip

# Face-alignment-in-3000fps This project is a C++ reimplementation of face alignment in 3000fps in the CVPR 2014 paper: [ Face Alignment at 3000 FPS via Regressing Local Binary Features. ](). ### VS project I have added a VS 2013 project. You can try it! ### Usage 1. Download datasets and get Path_Images.txt as [jwyang/face-alignment](https://github.com/jwyang/face-alignment). 2. To compiler the program: go to folder `build` and cmake . make 3. To train a new model: set global parameters in `LBF.cpp` and dataset in `TrainDemo.cpp`. Use `"LBF.out TrainModel"`. 4. To test a model on dataset: set test dataset in `TestDemo.cpp`. Use `"LBF.out TestModel"`. ###Model I have trained a model on AFW, HELEN,LFPW dataset. You can download it from [here](http://pan.baidu.com/s/1326PS) or [google drive](https://drive.google.com/folderview?id=0ByeDfKY7bL0_fmg2RWN2V0xtQ19veW1wdFVJRjBaRHBuUmJNNERHc0YyQ2lLVXJodDZTbk0&usp=sharing). ### FAQ * How to get the bounding box of image ? I use the face detector in OpenCV to get the bounding box.You can use any detector to get the bounding box but you must provide a bounding box of similar measure with the training data. ### Contact If you have any question, you can create an `issue` on GitHub. Or you can email yulequan@zju.edu.cn ### Reference Project * [soundsilence/FaceAlignment](https://github.com/soundsilence/FaceAlignment) * [jwyang/face-alignment](https://github.com/jwyang/face-alignment)