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
Statistical color models with application to skin detection
International Journal of Computer Vision
Performance Evaluation of Single and Multiple-Gaussian Models for Skin Color Modeling
SIBGRAPI '02 Proceedings of the 15th Brazilian Symposium on Computer Graphics and Image Processing
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
A Comparative Assessment of Three Approaches to Pixel-Level Human Skin-Detection
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Robust Real-Time Face Detection
International Journal of Computer Vision
Skin Color-Based Video Segmentation under Time-Varying Illumination
IEEE Transactions on Pattern Analysis and Machine Intelligence
Adaptive learning of an accurate skin-color model
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Face detection using quantized skin color regions merging andwavelet packet analysis
IEEE Transactions on Multimedia
IEEE Transactions on Image Processing
Face segmentation using skin-color map in videophone applications
IEEE Transactions on Circuits and Systems for Video Technology
Computational Color Constancy: Survey and Experiments
IEEE Transactions on Image Processing
CVPR '12 Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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In this paper we compare different computational strategies for skin detection. They differ in the type of data used in the training phase, the type of pre-processing done on the query image, and the level of visual information used. In particular, we define a high-level computational strategy, which uses a face detector in the pre-processing step. Two different implementations of it are proposed: one relies on an adaptive single gaussian model, the other a fixed threshold skin cluster detector on an illuminant-independent image representation. The experimental results on a heterogeneous dataset containing images acquired under uncontrolled lighting conditions show that the high-level strategies outperform low-level ones.