TY - GEN
T1 - Mouth state estimation in mobile computing environment
AU - Yuen, Pong C.
AU - Lai, J. H.
AU - Huang, Q. Y.
N1 - Copyright:
Copyright 2010 Elsevier B.V., All rights reserved.
PY - 2004
Y1 - 2004
N2 - This paper discusses a vision-based human understanding application in mobile devices and reports an efficient mouth boundary detection and mouth state estimation algorithm. The proposed algorithm is insensitive to the illumination changes. 400 head-&-shoulder face images are used for evaluation. The accuracy in mouth boundary detection and the mouth state estimation are 83.5% and 79.75% respectively. The computational time in Pentium III 700MHz PC using matlab implementation is less than one minute. It is reasonable to estimate that if the algorithm is implemented using low level language or assembly language, the processing time should be less than one second.
AB - This paper discusses a vision-based human understanding application in mobile devices and reports an efficient mouth boundary detection and mouth state estimation algorithm. The proposed algorithm is insensitive to the illumination changes. 400 head-&-shoulder face images are used for evaluation. The accuracy in mouth boundary detection and the mouth state estimation are 83.5% and 79.75% respectively. The computational time in Pentium III 700MHz PC using matlab implementation is less than one minute. It is reasonable to estimate that if the algorithm is implemented using low level language or assembly language, the processing time should be less than one second.
UR - http://www.scopus.com/inward/record.url?scp=4544320410&partnerID=8YFLogxK
U2 - 10.1109/AFGR.2004.1301617
DO - 10.1109/AFGR.2004.1301617
M3 - Conference proceeding
AN - SCOPUS:4544320410
SN - 0769521223
SN - 9780769521220
T3 - Proceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition
SP - 705
EP - 710
BT - Proceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004
T2 - Proceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004
Y2 - 17 May 2004 through 19 May 2004
ER -