Title :
A Methodology for Detecting Faces from Different Views
Author :
Tsitsoulis, A. ; Bourbakis, Nikolaos
Author_Institution :
ATR Center, Wright State Univ., Dayton, OH, USA
Abstract :
Detecting faces has become a common task in human-computer interaction systems. A robust face detection system should be able to detect faces irrespective of illuminations, shadows, cluttered backgrounds, facial pose, orientation and facial expressions. In this paper we describe a method comprising color constancy based skin detection and Local-Global (LG) graph matching in color images to address these challenges. Illustrative examples are also provided as a proof of concept.
Keywords :
face recognition; graph theory; image colour analysis; object detection; skin; LG graph matching; cluttered background; color constancy; color image; face detection system; facial expression; facial pose; human-computer interaction system; illumination; local-global graph matching; shadow; skin detection; Face detection; Feature extraction; Image color analysis; Image segmentation; Mouth; Nose; Skin; Face Detection; Local Global Graphs; Skin Detection;
Conference_Titel :
Tools with Artificial Intelligence (ICTAI), 2012 IEEE 24th International Conference on
Conference_Location :
Athens
Print_ISBN :
978-1-4799-0227-9
DOI :
10.1109/ICTAI.2012.40
