Location
Science and Engineering Building, UNLV
Start Date
27-4-2012 10:30 AM
End Date
27-4-2012 4:00 PM
Description
The face has become a popular biometric for identification due to the wide range of features and difficulty in manipulation of the metric. In order to work towards a robust facial recognition system, this work contains a foundation for using the face as a recognition metric. First, faces are detected from still images using a Viola-Jones object detection algorithm. Then, Eigenfaces is applied to the detected faces. The system was tested on face databases as well as real-time feed from a web camera.
Keywords
Biometric identification; Classifiers (Linguistics)--Data processing; Human face recognition (Computer science)
Disciplines
Biological Engineering | Electrical and Computer Engineering | Software Engineering
Language
English
Included in
Biological Engineering Commons, Electrical and Computer Engineering Commons, Software Engineering Commons
Real-Time Face Detection and Recognition
Science and Engineering Building, UNLV
The face has become a popular biometric for identification due to the wide range of features and difficulty in manipulation of the metric. In order to work towards a robust facial recognition system, this work contains a foundation for using the face as a recognition metric. First, faces are detected from still images using a Viola-Jones object detection algorithm. Then, Eigenfaces is applied to the detected faces. The system was tested on face databases as well as real-time feed from a web camera.