Object-based illumination classification

H. Z. Hel-Or, B. A. Wandell

Research output: Contribution to journalArticlepeer-review


Estimation of scene illumination from a single image or an image sequence has been widely studied in computer vision. The approach presented in this paper, introduces two new issues: (1) illumination classification is performed rather than illumination estimation; (2) an object-based approach is used for illumination evaluation. Thus, pixels associated with an object are considered in the illumination estimation process using the object's spectral characteristics. Simulation and real image experiments, show that the object-based approach indeed improves performance over standard illumination classification.

Original languageEnglish
Pages (from-to)1723-1732
Number of pages10
JournalPattern Recognition
Issue number8
StatePublished - Aug 2002


  • Classification
  • Color
  • Color correction
  • Face
  • Illumination estimation

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence


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