文件列表:

3DFace.mp4 (2779550, 2014-11-17)
PresentationSen.ppt (2918400, 2014-11-17)
data (0, 2014-11-17)
data\Face1.wrl (699047, 2014-11-17)
data\Face2.wrl (1005526, 2014-11-17)
data\Face3.wrl (961976, 2014-11-17)
data\Face4.wrl (912661, 2014-11-17)
data\Face5.wrl (717219, 2014-11-17)
data\Face6.wrl (630517, 2014-11-17)
face3d.p (2354, 2014-11-17)
loadvrmlimage.p (327, 2014-11-17)
readvrlm.p (452, 2014-11-17)
sourcecode.m (447, 2014-11-17)

% In order to launch the code just do the following steps: % % - run Matlab % - unzip all files in Matlab current directory (C:/..../Matlab/work is the default directory) % - type the name of main function ("face3d") on Matlab command window (the white window) % - now a simple and intuitive GUI should appear % % % FUNCTIONS % % Select image: read the input image % % Add selected image to database: the input image is added to database and will be used for training % % Database Info: show informations about the images present in database. Images must % have the same size. If this is not true you have to resize them. % % 3D Face Recognition: face matching. The selected input image is processed % % Delete Database: remove database from the current directory % % Info: show informations about this software % % % Source code for Face 3D Recognition System: how to obtain the complete source code % % Exit: quit program % % % First, select an input image clicking on "Select image". % Then you can % - add this image to database (click on "Add selected image to database" % - perform 3d face recognition (click on "3D Face Recognition" button) % Note: If you want to perform 3d face recognition database has to include % at least one image. % If you choose to add image to database, a positive integer (face ID) is % required. This posivive integer is a progressive number which identifies % a facial imaage (each ID corresponds to a class). % % For example: % - run the GUI (type "face3d" on Matlab command window) % - delete database (click on "Delete Database") % - add "mike1.jpg" to database ---> the ID has to be 1 since Mike is the first % person you are adding to database % - add "mike2.jpg" to database ---> the ID has to be 1 since you have already % added a Mike's image to database % - add "paul1.jpg" to database ---> the ID has to be 2 since Paul is the second person % you are adding to database % - add "cindy1.jpg" to database ---> the ID has to be 3 since Cindy is % the third person you are adding to database % - add "paul2.jpg" to database ---> the ID has to be 2 once again since % you have already added Paul to database % % ... and so on! Very simple, isnt't? :) % % The recognition gives as results the ID of nearest face present in % database. For example if you select image "paul3.jpg" the ID given SHOULD % be 2: "it should be" because errors are possible. % % 3D FACE RECOGNITION SYSTEM % % Human target recognition has been an active research area % in the last years, with a major emphasis on automatic % detection and matching of faces in still images and videos, for % the purposes of veri?cation and identification. Performance % of 2D face matching systems depends on their capability of % being insensitive to critical factors such as facial expressions, % makeup and aging, but mainly hinges upon extrinsic factors % such as illumination differences, camera viewpoint and scene % geometry. However, the inherent limitations of 2D face matching have % supported the belief that effective recognition of identity should % be obtained through multi-biometric technologies. In particular, % the exploitation of the geometry of the anatomical structure of % the face rather than its appearance, with de?nition of algorithms % and systems for 3D face matching has been a growing ?eld % of research in the very recent years. 3D Face recognition systems aim to use the additional 3D data to eliminate some of the % intrinsic problems associated with 2D recognition systems. For example, the 3D surface of a % face is invariant to changes in lighting conditions and hence recognition systems that use this % data should be, by definition, illumination invariant. Furthermore, given that it is possible to % register a number of 3D models to a base pose, such a system would also be viewpoint % invariant (although to what degree depends on the completeness of the 3D head model). In % addition to the 3D data it remains possible to capture texture information and thus use all the % available data to guide the recognition process. % % Code has been tested on GavabDB Database. GavabDB is a 3D face database. % It contains 549 three-dimensional images of facial surfaces. These meshes correspond to 61 different individuals % (45 male and 16 female) having 9 images for each person. The total of the individuals are Caucasian and their age is % between 18 and 40 years old. Each image is given by a mesh of connected 3D points of the facial surface without texture. % The database provides systematic variations with respect to the pose and the facial expression. % % % FUNCTIONS % % Select image: read the input image % % Add selected image to database: the input image is added to database and will be used for training % % Database Info: show informations about the images present in database. Images must % have the same size. If this is not true you have to resize them. % % 3D Face Recognition: face matching. The selected input image is processed % % Delete Database: remove database from the current directory % % Info: show informations about this software % % Visualization tool: visualization utility % % Source code for Face 3D Recognition System: how to obtain the complete source code % % Exit: quit program % % % References: % % Trina Russ, Chris Boehnen and Tanya Peters % "3D Face Recognition Using 3D Alignment for PCA" % available at http://www.ornl.gov/sci/ees/mssed/isml/pdfs/publications/Boehnen_3D%20Face%20Recognition%20Using%203D%20Alignment%20for%20PCA.pdf % % Sushil Gangwar, Dr. Krishna Kumar, "3D Face Recognition Based On Extracting PCA Methods" % available at http://www.ijera.com/papers/Vol2_issue2/DL22693696.pdf % % A. B. Moreno, A. Snchez, "GavabDB: a 3D Face Database" % available at http://gavab.escet.urjc.es/articulos/GavabDB.pdf % % GavabDB 3D Face Database % http://gavab.escet.urjc.es/recursos_en.html % % "Eigenfaces for Recognition", Matthew Turk and Alex Pentlad % Journal of Cognitive Neuroscience pp.71-86, March 1991 % Vision and Modeling Group, The Media Laboratory % Massachusetts Institute of Technology. % This paper is available at http://www.cs.ucsb.edu/~mturk/Papers/jcn.pdf % See also Matthew Turk's homepage http://www.cs.ucsb.edu/~mturk/research.htm % % % % Hamdi Boukamcha % Sousse % 4081 % Tunisia % mobile +201650674269 % email hamdouchhd@hotmail.com % website http://matlab-recognition-code.com % % % Hamdi Boukamcha % Sousse % 4081 % Tunisia % mobile +201650674269 % email hamdouchhd@hotmail.com % website http://matlab-recognition-code.com %

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