Publikacje » The Architecture of the Face and Eyes Detection System Based on Cascade Classifiers
The Architecture of the Face and Eyes Detection System Based on Cascade Classifiers
Andrzej Kasiński, Adam Schmidt
W: Computer Recognition Systems 2
Seria: Advances in Soft Computing
Vol.: 45
Rok: 2007
Strony: 124--131
Wydawca: Springer Berlin / Heidelberg
Preprint: architecture.pdf
Strona wydawcy: http://www.springerlink.com/content/v08647trj328k635/
Streszczenie:
The precise face and eyes detection is crucial in many Human-Machine Interface system. The important issue is the reliable object detection method. In this paper we present the architecture of a 3-stage face and eye detection system based on the Haar Cascade Classifiers. By applying the proposed system to the set of 10000 test images the 94% of the eyes were properly detected and precisely localized.