Skin detection is an important process in many of computer vision algorithms. It usually is a process that starts at a pixel-level, and that involves a pre-process of colorspace transformation followed by a classification process. A colorspace transformation is assumed to increase separability between skin and non-skin classes, to increase similarity among different skin tones, and to bring a robust performance under varying illumination conditions, without any sound reasonings. In this work, we examine if the colorspace transformation does bring those benefits by measuring four separability measurements on a large dataset of 805 images with different skin tones and illumination. Surprising results indicate that most of the colorspace transformations do not bring the benefits which have been assumed.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Does colorspace transformation make any difference on skin detection?


    Contributors:
    Shin, M.C. (author) / Chang, K.I. (author) / Tsap, L.V. (author)


    Publication date :

    2002-01-01


    Size :

    284091 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Does Colorspace Transformation Make Any Difference on Skin Detection?

    Shin, M. C. / Chang, K. I. / Tsap, L. V. et al. | British Library Conference Proceedings | 2002



    Effect of Colorspace Transformation, the Illuminance Component, and Color Modeling on Skin Detection

    Jayaram, S. / Schmugge, S. / Shin, M. et al. | British Library Conference Proceedings | 2004


    Space Vehicle Structures — Does Man's Presence Make Any Difference?

    Alper, Marshall E. | SAE Technical Papers | 1966