Sciweavers

Share
ACII
2005
Springer

Face and Facial Expression Recognition with an Embedded System for Human-Robot Interaction

9 years 11 months ago
Face and Facial Expression Recognition with an Embedded System for Human-Robot Interaction
In this paper, we present an embedded system in which face recognition and facial expression recognition for Human-Robot Interaction are implemented. To detect face with a fast and reliable way, AdaBoost algorithm is used. Then, Principal Component Analysis is applied for recognizing the face. Gabor wavelets are combined with Enhanced Fisher Model for facial expression recognition. Performance of the facial expression recognition reaches to 93%. The embedded system runs on 150MHz and the processing speed is 0.6 frames / second. Experimental result demonstrates that face detection, recognition and facial expression can be implemented with an embedded system for the Human-Robot Interaction.
Yang-Bok Lee, Seungbin Moon, Yong-Guk Kim
Added 13 Oct 2010
Updated 13 Oct 2010
Type Conference
Year 2005
Where ACII
Authors Yang-Bok Lee, Seungbin Moon, Yong-Guk Kim
Comments (0)
books