Face Recognition Technology: Applications, Challenges, and Future Directions
Explore the advancements in face recognition technology post-9/11, its applications in security, law enforcement, access control, and entertainment. Learn about image acquisition, feature extraction, modeling, databases, matching, and recognition processes, along with leading commercial products and future developments.
Face Recognition Technology: Applications, Challenges, and Future Directions
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Presentation Transcript
Face Recognition Review Jan 29, 2002 Presented by Jingu Heo
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.
Applications - Security • Law enforcement (Criminology) • Access control ( Gate, PC login) • ID Solutions • Surveillance (Airport) • Missing children • Entertainment (Robot Toy)
How to recognize faces? • Image Acquisition • Feature Extraction • Modeling Faces • Database • Matching • Labeling and Recognition
Examples Images from yonsei Univ, KR
Examples Image From Theory to Applications
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.
Feature Extraction Images from http://www.itl.nist.gov
Feature Extraction • Shape • Marker Points • Colors
Models • PCA(Principal Component Analysis) • LDA(Linear Discriminant Analysis) • Bayesian Rule –Density Function • SOM(Self Organizing Maps) • Neural Networks • 3D Model
Databases • Criminal Database. • Driver’s license Database. • For special purposes. • Access control -> Employee’s face
Matching • Minimum Distance Error • Auto Correlation(FFT)
Labeling and Recognition • Color Labeling Example Images from yonsei Univ, KR
Then, recognize completed • Image Acquisition - Video Camera • Feature Extraction - Marker, Shape • Modeling Face - PCA, LDA, NN • Database • Matching • Labeling and Recognition
Leading Commercial Products • Visionics • Viisage – acquired Lau Tech • Keyware, Miros Based on http://www.dodcounterdrug.com/facialrecognition/FRVT2000/documents.htm
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.
References • http://imaging.utk.edu/~heo • Face Recognition Home Page http://www.cs.rug.nl/~peterkr/FACE/face.html
