Extraction of face image edges with application to expression analysis

Jiatao SONG, Zheru CHI, Jilin LIU, Hong FU

Research output: Chapter in Book/Report/Conference proceedingChapters

3 Citations (Scopus)

Abstract

This paper presents a new method for the extraction of face image edges and a scheme for facial expression analysis based on the binary edge images (BEIs). Making use of the multi-resolution property of wavelet transform, the edge detection method includes two binarization steps and a noise removing step. Our method provides a robust solution to face image edge extraction, in particular, if changes of lighting conditions are encountered. Experimental results show that different components in a BEI are well separated and pixels of the same face component are connected well. Preliminary experimental results on facial expression analysis on the subsets of AR and Yale face databases show that a satisfactory recognition rate can be achieved when our facial analysis scheme is used for recognizing four Action Units. Copyright © 2004 IEEE.
Original languageEnglish
Title of host publication2004 8th International Conference on Control, Automation, Robotics and Vision (ICARCV)
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages804-809
Volume2
ISBN (Print)0780386531
DOIs
Publication statusPublished - 2004

Citation

Song, J., Chi, Z., Liu, J., & Fu, H. (2004). Extraction of face image edges with application to expression analysis. In 2004 8th International Conference on Control, Automation, Robotics and Vision (ICARCV) (Vol. 2, pp. 804-809). Piscataway, NJ: IEEE.

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