Speeding-up normalized neural networks for face/object detection
Machine Graphics & Vision International Journal
A survey of skin-color modeling and detection methods
Pattern Recognition
New fast normalized neural networks for pattern detection
Image and Vision Computing
EURASIP Journal on Applied Signal Processing
Task-based evaluation of skin detection for communication and perceptual interfaces
Journal of Visual Communication and Image Representation
A novel model of neural networks for fast data detection
NN'06 Proceedings of the 7th WSEAS International Conference on Neural Networks
Background Separation in Motion Picture Using Presumptive Eyes Position and Different Image
ICCSA '08 Proceedings of the international conference on Computational Science and Its Applications, Part II
Skin detection for single images using dynamic skin color modeling
Pattern Recognition
Face authentication using the trace transform
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
New high speed normalized neural networks for pattern detection
SSIP'05 Proceedings of the 5th WSEAS international conference on Signal, speech and image processing
Pattern detection using fast normalized neural networks
ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I
A fast real-time skin detector for video sequences
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
A skin detection approach based on the Dempster--Shafer theory of evidence
International Journal of Approximate Reasoning
Detecting Facial Expressions for Monitoring Patterns of Emotional Behavior
International Journal of Monitoring and Surveillance Technologies Research
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In this paper, we propose a novel approach for robust skin segmentation and face similarity measure. The proposed skin segmentation is a method for integrating the chrominance components of any color model. The goal of the method of skin detection is to select the appropriate color model for verifying the skin pixel under different lighting conditions and various types of skin color.The enhanced Hausdorff Distance, called RAMHD, is used to measure the similarity between the face edge and an elliptical model in the skin area. This method is very robust to the occlusions of the face edge. Finally, the results of face similarity measure will be improved by updating the elliptical model. We will show the performance of skin segmentation and face similarity measure with real images.