Lip Tracking for MPEG-4 Facial Animation
ICMI '02 Proceedings of the 4th IEEE International Conference on Multimodal Interfaces
Detecting eye blink states by tracking iris and eyelids
Pattern Recognition Letters
International Journal of Approximate Reasoning
A parabolic detection algorithm based on kernel density estimation
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
An efficient iris and eye corners extraction method
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
Computer Methods and Programs in Biomedicine
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Facial analysis is used in a number of applications like face recognition systems, human-computer interaction through head movements or facial expressions, or model based coding. In all these applications a very precise extraction of the feature points corresponding to the eyes is necessary. In this paper we present a method for automatic extraction and tracking of the eyelids. First the images are filtered in order to enhance the interesting features. Then a dynamic programming algorithm is applied to extract the precise shape of the eyelids. Although restrictions are applied on the possible shapes, they are not modeled as ellipse arcs. This allows extracting the corner of the eyes with higher precision. Once the eyelids are extracted for the first image, a new robust tracking algorithm based on snakes is applied to track them along the sequence, which allows large motion of the eyes and rotation and zooming of the head.