# Face Recognition
A Java application for face recognition under expressions, occlusions and pose variations.
## Description:
- This is a prototype with the goal of improving recognition accuracy and reliability under un-cooperative scenarios like expressions, occlusions (obstacles like spectacles) and pose variations (<60deg).
- The project is tested with Bosphorous Database (http://bosphorus.ee.boun.edu.tr/default.aspx).
## Running the project:
1. Install latest version of JDK.
2. Install NetBeans.
3. Go to Control Panel->Add or Remove Programs(Uninstall Programs) and check any other databases are installed (e.g. Microsoft SQL or simply MySQL). If so, uninstall all.
4. Install Microsoft Visual C++ Redistributable Package (vcredist_x86.exe).
5. Intall WAMP Server and start it.
6. Open NetBeans and create a new Java project. Delete the default package created.
(For example, if the project name is abc, then NetBeans automatically creates a package with the same name along with .java file. Delete the complete package in Source Packages section )
7. Open the code and copy full "src" folder(Parent folder of all .java files) and paste it on Source Packages in NetBeans.
8. Now right click on Libraries and choose Add JAR/Folder option and open the "libs" folder that came with code. Select all(CTRL+A) and click Open.
9. Copy all .dll files came with code in the "dll" folder to C:\Windows folder [ONLY FOR 32 BIT SYSTEMS].
10. Install Java 3D API(java3d_1_5...exe).
11. Go to C:\Program Files\Java\Java3D\bin and copy all DLLs to C:\Windows [ONLY FOR 64 BIT SYSTEMS].
12. Open System Tray->Wamp Server green icon->Left Click->MySQL->MySQL Console. Press Enter. You should see mysql> prompt.
Enter the following commands:
```mysql
create database 3dface;
use 3dface;
create table users(UserName varchar(30),Email varchar(50),Phone varchar(10),Password varchar(20));
exit;
```
13. Again open system tray->Wamp green icon left click->phpMyAdmin. Browser will be opened. Database list on left side. Click on "3dface". You can see "users" table and get confirmed with the same.
12. Run the project.
face-recognition-master.zip （72个子文件） 
face-recognition-master dlls 
j3dcore-ogl.dll 160KB j3dcore-d3d.dll 804KB exthelper.dll 52KB j3dcore-ogl-cg.dll 40KB j3dcore-ogl-chk.dll 48KB nbproject project.properties 4KB genfiles.properties 467B build-impl.xml 76KB project.xml 495B private private.xml 226B private.properties 116B src src FrontEnd.java 18KB Face.java 7KB
bkd.png 504KB SwingWorker.java 2KB ImageBackgroundPanel.java 810B FaceBrowser.java 6KB face.png 108KB DistanceMeasure.java 128B FeatureSpace.java 10KB Main.java 20KB Picture.java 3KB FeatureVector.java 579B TSCD.java 7KB libs 
jai_codec.jar 209KB j3dutils.jar 1.62MB facialrecognition.jar 86KB mlibwrapper_jai.jar 40KB mysql-connector-java-3.0.17-ga-bin.jar 241KB j3dcore.jar 2.82MB jai_core.jar 1.5MB Jama-1.0.1.jar 33KB vecmath.jar 318KB build classes src TSCD.class 5KB FeatureSpace$2di_pair.class 653B SwingWorker$ThreadVar.class 601B SwingWorker$1.class 545B FrontEnd$1.class 1KB Main$ProgressTracker.class 3KB FeatureSpace$2.class 860B bkd.png 504KB FrontEnd$2.class 1KB Main$2.class 942B Main$1.class 666B FeatureSpace$fd_pair.class 472B FaceBrowser.class 4KB DistanceMeasure.class 239B TSCD$1di_pair.class 506B Face.class 6KB FeatureSpace.class 7KB FeatureVector.class 956B face.png 108KB Main.class 15KB TSCD$1.class 876B FrontEnd.class 11KB FaceItem.class 4KB Main$ProgressTracker$TimerListener.class 1KB Picture.class 3KB FrontEnd$3.class 802B SwingWorker.class 2KB FeatureSpace$1.class 863B FeatureSpace$3.class 928B ImageBackgroundPanel.class 2KB FeatureSpace$1di_pair.class 585B Main$3.class 2KB SwingWorker$2.class 1KB Main$ProgressTracker$1.class 952B .netbeans_update_resources 0B .netbeans_automatic_build 0B README.md 2KB build.xml 4KB
License.txt 34KB资源评论
