Title :
An unsupervised Learning Network for face identification and subsequent localization
Author_Institution :
CSE Dept., NIT Durgapur, Durgapur, India
Abstract :
The detection, localization and identification of faces in an image are some of the essential intelligent computer vision activities. The present method is almost orientation or rotation invariant. This employs various Competitive Learning Networks to perform these face identification and localization tasks. The technique is partially independent of orientation or rotation of the faces in the image. Also the identification rate of the faces is quiet moderate.
Keywords :
computer vision; face recognition; unsupervised learning; competitive learning networks; face detection; face identification; face localization; facial image; intelligent computer vision activities; orientation invariant; rotation invariant; unsupervised learning network; Face; Image recognition; Object recognition; Pattern recognition; Testing; Training; Vectors; ANN; Competitive Learning Network; Detection Rate; Face Detection; Face Identification; False Positive and False Negative; Identification Rate; Machine Learning;
Conference_Titel :
Communications, Devices and Intelligent Systems (CODIS), 2012 International Conference on
Conference_Location :
Kolkata
Print_ISBN :
978-1-4673-4699-3
DOI :
10.1109/CODIS.2012.6422282