Automatic Detection of Human Nudes
International Journal of Computer Vision - 1998 Marr Prize
Digital Image Processing
Image retrieval based on perceptive weighted color blocks
Pattern Recognition Letters
Does Colorspace Transformation Make Any Difference on Skin Detection?
WACV '02 Proceedings of the Sixth IEEE Workshop on Applications of Computer Vision
Log-Opponent Chromaticity Coding of Color Space
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Adaptive color quantization based on perceptive edge protection
Pattern Recognition Letters
Skin Segmentation Using Color Pixel Classification: Analysis and Comparison
IEEE Transactions on Pattern Analysis and Machine Intelligence
Cast shadow detection in video segmentation
Pattern Recognition Letters
A watermarking-based image ownership and tampering authentication scheme
Pattern Recognition Letters
Robust Face Detection for Video Summary Using Illumination-Compensation and Morphological Processing
ICNC '07 Proceedings of the Third International Conference on Natural Computation - Volume 02
A Novel Skin Tone Detection Algorithm for Contraband Image Analysis
SADFE '08 Proceedings of the 2008 Third International Workshop on Systematic Approaches to Digital Forensic Engineering
A Robust Method for Multiple Face Tracking Using Kalman Filter
AIPR '07 Proceedings of the 36th Applied Imagery Pattern Recognition Workshop
Biometric Inspired Digital Image Steganography
ECBS '08 Proceedings of the 15th Annual IEEE International Conference and Workshop on the Engineering of Computer Based Systems
Skin Segmentation Using Color Distance Map and Water-Flow Property
IAS '08 Proceedings of the 2008 The Fourth International Conference on Information Assurance and Security
Multiple layer data hiding scheme for medical images
Computer Standards & Interfaces
Face Detection Method Based on a New Nonlinear Transformation of Color Spaces
FSKD '08 Proceedings of the 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 04
ISCSCT '08 Proceedings of the 2008 International Symposium on Computer Science and Computational Technology - Volume 02
Effect of colorspace transformation, the illuminance component, and color modeling on skin detection
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Rotation invariant watermark embedding based on scale-adapted characteristic regions
Information Sciences: an International Journal
A new colour space for skin tone detection
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A dynamic threshold approach for skin tone detection in colour images
International Journal of Biometrics
Efficient skin detection under severe illumination changes and shadows
ICIRA'11 Proceedings of the 4th international conference on Intelligent Robotics and Applications - Volume Part II
Texture analysis for skin probability maps refinement
MCPR'12 Proceedings of the 4th Mexican conference on Pattern Recognition
Engineering Applications of Artificial Intelligence
Skin detection using color and distance transform
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
A novel approach to digital watermarking, exploiting colour spaces
Signal Processing
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Challenges face biometrics researchers and particularly those who are dealing with skin tone detection include choosing a colour space, generating the skin model and processing the obtained regions to fit applications. The majority of existing methods have in common the de-correlation of luminance from the considered colour channels. Luminance is underestimated since it is seen as the least contributing colour component to skin colour detection. This work questions this claim by showing that luminance can be useful in the segregation of skin and non-skin clusters. To this end, here we use a new colour space which contains error signals derived from differentiating the grayscale map and the non-red encoded grayscale version. The advantages of the approach are the reduction of space dimensionality from 3D, RGB, to 1D space advocating its unfussiness and the construction of a rapid classifier necessary for real time applications. The proposed method generates a 1D space map without prior knowledge of the host image. A comprehensive experimental test was conducted and initial results are presented. This paper also discusses an application of the method to image steganography where it is used to orient the embedding process since skin information is deemed to be psycho-visually redundant.