Face detection by direct convexity estimation

Research output: Contribution to journalArticlepeer-review

Abstract

We suggest a novel attentional mechanism for detection of smooth convex and concave objects based on direct processing of intensity values. The operator detects the regions of the eyes and hair in a facial image, and thus allows us to infer the face location and scale. Our operator is robust to variations in illumination, scale, and face orientation. Invariance to a large family of functions, serving for lighting improvement in images, is proved. An extensive comparison with edge-based methods is delineated.

Original languageEnglish
Pages (from-to)913-922
Number of pages10
JournalPattern Recognition Letters
Volume18
Issue number9
DOIs
StatePublished - Sep 1997

Keywords

  • Convexity
  • Face detection
  • Gradient argument

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