TY - GEN
T1 - Integration of eigentemplate and structure matching for automatic facial feature detection
AU - Shakunaga, Takeshi
AU - Ogawa, Keisuke
AU - Oki, Shohei
PY - 1998
Y1 - 1998
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84905365408&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84905365408&partnerID=8YFLogxK
U2 - 10.1109/AFGR.1998.670931
DO - 10.1109/AFGR.1998.670931
M3 - Conference contribution
AN - SCOPUS:84905365408
SN - 0818683449
SN - 9780818683442
T3 - Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998
SP - 94
EP - 99
BT - Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998
PB - IEEE Computer Society
T2 - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998
Y2 - 14 April 1998 through 16 April 1998
ER -