Label the group photo locate and identify faces and label them.

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Presentation transcript:

Label the group photo locate and identify faces and label them

Ramona Ciulpan Webmaster Label the group photo locate and identify faces and label them

Kornel Toth SVM, Database Label the group photo locate and identify faces and label them

Mircea Focşa PPT Presentation Label the group photo locate and identify faces and label them

Krisztian Olle Project manager Label the group photo locate and identify faces and label them

Project Description Label the group photo- locate and identify faces and label them Input group photo ( for example 10 people) Segment it to isolate people/faces Number the faces Extract the faces Build of library of faces From photos of similar faces try to find that person on the group photo

Face Detection Finding faces is complicated?

Possible solution Neural Network Template matching Principal Component Analysis Support Vector Machine

Possible solution Neural Network Template matching Principal Component Analysis Support Vector Machine

Support Vector Machines algorithm Minimize W(Λ)=- Λ T 1 + 1/2 Λ T D Λ Λ Subject to Λ T y = 0 Λ-C Λ 0

Face detection (I) Create an images database –266 pictures: 150 faces non-faces... Preprocessing –Gray scale transformation –Histogram equalization –Adjust resolution to 30x40 pixel Training the SVM based on that 266 vectors, using a polynomial kernel.

Face detection (II) Moving over the input image with a 30x40 pixel sub window Histogram equalization of a sub window Classification by SVM Removing intersections

Face recognition Training the SVM based on the people faces who want to recognize Classifying the detected faces Labeling the known faces

Implementation (I) Input group photo Isolate people / faces Number the faces

Implementation (II) Input group photo Isolate people / faces Number the faces

Implementation (III) Extract the faces

Implementation (IV) Build of library of faces

Implementation (V) Label the faces Train the SVM with new set of vectors

Results Image nameResolution # of faces # of tests # of found faces Time (sec.) False Classific. csoport.pgm600x team2.pgm700x team3.pgm600x team31.pgm500x team4.pgm500x team41.pgm400x test5.pgm500x

Examples

Future Plans Multi-resolution image pyramid Better face databases Better face recognition databases Improve the speed Improve the masking technique

Thank You! How many faces ?

References Open Source Computer Vision Library Reference Manual Guodong Guo, Stan Z. Li, and Kapluk Chan: Face Recognition by Support Vector Machines Proceeding of Fourth IEEE International Conference on Automatic Face and Gesture Recognition, 2000 Grenoble, France. Edgar Osuna, Robert Freund: Training Support Vector Machines: an Application to Face Detection. Proceeding of CVPR97, 1997 Puerto Rico The Face Detection Homepage