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Skin Color Analysis in HSV Color Space and Rendering with Fine Scale Skin Structure

  • Dae Hyun Kim
  • Myoung-Jun Kim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4035)

Abstract

Among many skin color sources, hemoglobin and melanin components are regarded most significant in determining the final color of human skin. In extracting the two components, this paper proposes to use a more intuitive color model, HSV, than the RGB color space. For 3D rendering, we propose a novel method to reconstruct the fine-scale structure (normal map) of the human skin from a single highly specular image, or from a pair of highly specular and diffusive images. In the shape-from-shading algorithm, several photos varying light positions should have been taken to compute the normal of diffusive surfaces; which, however, was hardly the case for capturing fine skin structure since the human subjects cannot keep still while taking many photos. Therefore, our approach rids us of the difficult task to register several images.

Keywords

Independent Component Analysis Voronoi Diagram Independent Component Analysis Sampling Region Color Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Dae Hyun Kim
    • 1
  • Myoung-Jun Kim
    • 2
  1. 1.Institute for Graphic InterfacesSouth Korea
  2. 2.Ewha Womans UniversitySouth Korea

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