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Face Recognition Review

Face Recognition Review. Jan 29, 2002 Presented by Jingu Heo. Current face recognition technology. After Sep.11 th , the security issue around the nation has been increased. The accuracy is still doubtable. Why face recognition ? Most modernized form of biometrics.

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Face Recognition Review

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  1. Face Recognition Review Jan 29, 2002 Presented by Jingu Heo

  2. Current face recognition technology • After Sep.11th , the security issue around the nation has been increased. • The accuracy is still doubtable. • Why face recognition ? Most modernized form of biometrics. (fingerprint,iris,vein,voice recognition) Non-intrusive.

  3. Applications - Security • Law enforcement (Criminology) • Access control ( Gate, PC login) • ID Solutions • Surveillance (Airport) • Missing children • Entertainment (Robot Toy)

  4. How to recognize faces? • Image Acquisition • Feature Extraction • Modeling Faces • Database • Matching • Labeling and Recognition

  5. Examples Images from yonsei Univ, KR

  6. Examples Image From Theory to Applications

  7. Image Acquisition • Reliance is on video cameras that are now commonly in use. • Other cameras for special purpose - Range Camera. - High Resolution Camera. - Pan-Tilt Zoom(PTZ) Camera.

  8. Feature Extraction Images from http://www.itl.nist.gov

  9. Feature Extraction • Shape • Marker Points • Colors

  10. Models • PCA(Principal Component Analysis) • LDA(Linear Discriminant Analysis) • Bayesian Rule –Density Function • SOM(Self Organizing Maps) • Neural Networks • 3D Model

  11. Databases • Criminal Database. • Driver’s license Database. • For special purposes. • Access control -> Employee’s face

  12. Matching • Minimum Distance Error • Auto Correlation(FFT)

  13. Labeling and Recognition • Color Labeling Example Images from yonsei Univ, KR

  14. Then, recognize completed • Image Acquisition - Video Camera • Feature Extraction - Marker, Shape • Modeling Face - PCA, LDA, NN • Database • Matching • Labeling and Recognition

  15. Leading Commercial Products • Visionics • Viisage – acquired Lau Tech • Keyware, Miros Based on http://www.dodcounterdrug.com/facialrecognition/FRVT2000/documents.htm

  16. Future works Combining with Video Tracking • Track a person. • Gathering silhouette images of face. • Reconstruct 3-D image. • Then recognize After evaluating face recognition softwares, I will show some demonstrations.

  17. References • http://imaging.utk.edu/~heo • Face Recognition Home Page http://www.cs.rug.nl/~peterkr/FACE/face.html

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