Extraction of face image edges with application to expression analysis

Jiatao Song, Zheru Chi, Jilin Liu, Hong Fu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

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.
Original languageEnglish
Title of host publication2004 8th International Conference on Control, Automation, Robotics and Vision (ICARCV)
Pages804-809
Number of pages6
Volume2
Publication statusPublished - 1 Dec 2004
Event8th International Conference on Control, Automation, Robotics and Vision (ICARCV) - Kunming, China
Duration: 6 Dec 20049 Dec 2004

Conference

Conference8th International Conference on Control, Automation, Robotics and Vision (ICARCV)
Country/TerritoryChina
CityKunming
Period6/12/049/12/04

ASJC Scopus subject areas

  • Engineering(all)

Cite this