Skin-Color Modeling and Adaptation,

Abstract

This report studies a statistical skin-color model and its adaptation. By quantitative analysis and goodness-of fit test we reveal that (1) skin-color differences among people can be reduced by intensity normalization and (2) under a certain lighting condition a skin-color distribution can be characterized by a multivariate normal distribution in the normalized color space. We then propose an adaptive model to characterize human skin-color distributions for locating human faces under different lighting conditions. The parameters of the model are adapted by a linear combination of the known parameters. The maximum likelihood criterion has been used to obtain the optimal estimation of the coefficients. The model has been successfully applied to a real-time face tracker and other applications.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1997
Accession Number
ADA327881

Entities

People

  • Alex Waibel
  • Jie Yang
  • Weier Lu

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Computer Science
  • Computer Vision
  • Covariance
  • Data Analysis
  • Data Mining
  • Data Science
  • Databases
  • Goodness Of Fit Tests
  • Information Science
  • Light Sources
  • Maximum Likelihood Estimation
  • Network Science
  • Normal Distribution
  • Statistical Analysis
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Mathematics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computational Modeling and Simulation
  • Criminal Law

Technology Areas

  • Space