Title :
Advanced hardware real time face detector
Author :
Bigioi, Petronel ; Zaharia, Corneliu ; Corcoran, Peter
Author_Institution :
Tessera & Nat. Univ. of Ireland, Galway, Ireland
Abstract :
Face detection and tracking can be considered an enabling technology for a range of image enhancements technologies, authentications and advanced UIs in handheld devices. Several modes of implementing a face detection algorithm in hardware are explored and a hybrid approach is found to offer the best trade-off between physical hardware resources and computational software resources. This uses simpler weak classifier templates in hardware, using these to determine the more complex set of classifiers which are eventually applied by the software engine.
Keywords :
face recognition; image classification; image enhancement; object detection; object tracking; authentication; classifiers set; computational software resource; face detection; face tracking; handheld device; hardware realtime face detector; image enhancement technology; physical hardware resource; software engine; user interfaces; weak classifier template; Detectors; Face; Face detection; Hardware; Real time systems; Software; Three dimensional displays;
Conference_Titel :
Consumer Electronics (ICCE), 2012 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4577-0230-3
DOI :
10.1109/ICCE.2012.6161958