Wrappers for feature subset selection
Artificial Intelligence - Special issue on relevance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Extraction of Visual Features for Lipreading
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Active Contour Model without Edges
SCALE-SPACE '99 Proceedings of the Second International Conference on Scale-Space Theories in Computer Vision
Minimum Redundancy Feature Selection from Microarray Gene Expression Data
CSB '03 Proceedings of the IEEE Computer Society Conference on Bioinformatics
Motion Features from Lip Movement for Person Authentication
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Automatic Extraction of Lip Based on Wavelet Edge Detection
SYNASC '06 Proceedings of the Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing
Automatic speechreading with applications to human-computer interfaces
EURASIP Journal on Applied Signal Processing
Visual speech recognition using motion features and hidden Markov models
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Audio-visual speech modeling for continuous speech recognition
IEEE Transactions on Multimedia
Recognition of visual speech elements using adaptively boosted hidden Markov models
IEEE Transactions on Circuits and Systems for Video Technology
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Humans unconsciously use visual cues from lip motion not only in aural conversations but also to communicate subtle emotions. In the past decades lip detection and segmentation has been extensively studied in various fields from speech recognition and human computer interaction to biometrics, but literature comparing visual lip features is almost non-existent. In this paper we present a comparative evaluation of different visual features from lips. Geometric and appearance based features were extracted and their relevance to identifying people was studied by feature selection methods.