Integration of eigentemplate and structure matching for automatic facial feature detection

Takeshi Shakunaga, Keisuke Ogawa, Shohei Oki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

Abstract

An algorithm is proposed for facial feature detection from a facial image. The algorithm consists of the bottom-up and the top-down interpretation processes, which work with the feature matching module and the structure matching module. Experimental results show that the proposed algorithm can detect no less than five features in 99.3% of the frontal views and can work even if the face orientation is unknown.

Original languageEnglish
Title of host publicationProceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998
PublisherIEEE Computer Society
Pages94-99
Number of pages6
ISBN (Print)0818683449, 9780818683442
DOIs
Publication statusPublished - Jan 1 1998
Event3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998 - Nara, Japan
Duration: Apr 14 1998Apr 16 1998

Publication series

NameProceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998

Other

Other3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998
CountryJapan
CityNara
Period4/14/984/16/98

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Cite this

Shakunaga, T., Ogawa, K., & Oki, S. (1998). Integration of eigentemplate and structure matching for automatic facial feature detection. In Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998 (pp. 94-99). [670931] (Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998). IEEE Computer Society. https://doi.org/10.1109/AFGR.1998.670931