Digital image processing
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Face Detection in Color Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Skin-Color Modeling and Adaptation
ACCV '98 Proceedings of the Third Asian Conference on Computer Vision-Volume II
LAFTER: Lips and Face Real-Time Tracker
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Elliptical Head Tracking Using Intensity Gradients and Color Histograms
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Comparison of Five Color Models in Skin Pixel Classification
RATFG-RTS '99 Proceedings of the International Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems
Face detection by fuzzy pattern matching
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Active Face and Feature Tracking
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
Skin Detection in Video under Changing Illumination Conditions
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
A Comparative Assessment of Three Approaches to Pixel-Level Human Skin-Detection
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Face detection using quantized skin color regions merging andwavelet packet analysis
IEEE Transactions on Multimedia
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We discuss the face detection method by using skin information. Skin color has proven to be a useful and robust cue for face detection, localization and tracking. Numerous techniques for skin color modelling and recognition have been proposed during several past years. In this paper we propose a new fuzzy skin model for face detection and its identification method. The fuzzy skin model comprise of the fuzzy rules with color information. The membership function and structure of fuzzy rule are identified by the proposed linear matrix inequality method. Experimental results demonstrate successful face detection.