Title :
Advances in component based face detection
Author :
Bileschi, S.M. ; Heisele, B.
Author_Institution :
Center for Biol. & Computational Learning, Massachusetts Inst. of Technol., Cambridge, MA, USA
Abstract :
We describe the design of a component based face detector for gray scale images. We show that including pans of the face into the negative training sets of the component classifiers leads to improved system performance. We also introduce a method of using pairwise position statistics between component locations to more accurately locate the parts of a face. Finally, we illustrate an application of this technology in the creation of an accurate eye detection system.
Keywords :
computer vision; face recognition; image classification; learning (artificial intelligence); support vector machines; component based face detection; component classifiers; computer vision; eye detection system; gray scale images; pairwise position statistics; support vector machines; training sets; Biology computing; Detectors; Face detection; Neural networks; Object detection; Research and development; Statistics; Support vector machine classification; Support vector machines; System performance;
Conference_Titel :
Analysis and Modeling of Faces and Gestures, 2003. AMFG 2003. IEEE International Workshop on
Print_ISBN :
0-7695-2010-3
DOI :
10.1109/AMFG.2003.1240837
