Active shape models—their training and application
Computer Vision and Image Understanding
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Recognizing Action Units for Facial Expression Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multimodal interface for human-machine communication
Multimodal interface for human-machine communication
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Robust Facial Feature Point Detection Under Nonlinear Illuminations
RATFG-RTS '01 Proceedings of the IEEE ICCV Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems (RATFG-RTS'01)
Open or Closed Mouth State Detection: Static Supervised Classification Based on Log-Polar Signature
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Hi-index | 0.00 |
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.