Folders and files
| Name | Name | Last commit date | ||
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This project use the Surrey Face Model to contribute a face reconstruction application. If you want to understand the algorithm of this application, you could read this paper first. PDF
I just rewrite some code using Qt5, maybe at least Qt 5.5, the default qt version of ubuntu 16.04.
This project contains two main part: GUI and Console. They are sub project of FaceReconstruction.pro.
The console project is subproject console/console.pro. It can be run in the system without a monitor, on Windows or linux.
Usage is shown as blow:
ubuntu：~$ cfaceRec --help
Usage: ./cfaceRec [options]
Face Reconstruction
Options:
-h, --help Displays this help.
-v, --version Displays version information.
-i, --image-path <filepath> The image path to do face reconstruction! <path>
e.g. E:/test.jpg
-s, --save-path <directory> The directory to save the obj model <driectory>
e.g. E:/test/
The GUI application is write in subproject at start/start.pro, It must comple with monitor, or may not success.
This project needs some useful 3rdpart.
opencv 2.4.11 assimp 3 boost 1.5 dlib 17.17
And you may set the path of them in thost *.pro file, it is not easy for newbee.
unix {
INCLUDEPATH += $$PWD \ # 自身
$$PWD/../start \ # subproject start
$$PWD/../libs \
$$PWD/../libs/dlib-18.17 \ # dlib
$$PWD/../libs/eigen-eigen-b9cd8366d4e8 \ # eigen
/usr/include \ # boost assimp
/usr/local/include # opencv
LIBS += \
-L /home/chaoqun/dlib-18.17/build -ldlib \ # dlib
-L/usr/lib/x86_64-linux-gnu -lboost_system -lboost_filesystem \ # boost
-L/usr/local/lib -lopencv_calib3d -lopencv_contrib -lopencv_core \
-lopencv_features2d -lopencv_flann -lopencv_gpu \
-lopencv_highgui -lopencv_imgproc -lopencv_legacy \
-lopencv_ml -lopencv_objdetect \
-lopencv_ocl -lopencv_photo -lopencv_stitching -lopencv_superres \
-lopencv_video -lopencv_videostab \ # opencv
-L/usr/lib/x86_64-linux-gnu -lassimp # assimp
}
- A Multiresolution 3D Morphable Face Model and Fitting Framework, P. Huber, G. Hu, R. Tena, P. Mortazavian, W. Koppen, W. Christmas, M. Rätsch, J. Kittler, International Conference on Computer Vision Theory and Applications (VISAPP) 2016, Rome, Italy PDF.
- Project eos
- Project FaceReconstruction