Automatic detection of human nudes

Research output: Contribution to journalArticle

Abstract

This paper demonstrates an automatic system for telling whether there are human nudes present in an image. The system marks skin-like pixels using combined color and texture properties. These skin regions are then fed to a specialized grouper, which attempts to group a human figure using geometric constraints on human structure. If the grouper finds a sufficiently complex structure, the system decides a human is present. The approach is shown to be effective for a wide range of shades and colors of skin and human configurations. This approach offers an alternate view of object recognition, where an object model is an organized collection of grouping hints obtained from a combination of constraints on color and texture and constraints on geometric properties such as the structure of individual parts and the relationships between parts. The system demonstrates excellent performance on a test set of 565 uncontrolled images of human nudes, mostly obtained from the internet, and 4289 assorted control images, drawn from a wide variety of sources.

Original languageEnglish (US)
Pages (from-to)63-77
Number of pages15
JournalInternational Journal of Computer Vision
Volume32
Issue number1
DOIs
StatePublished - Jan 1 1999
Externally publishedYes

Fingerprint

Skin
Color
Textures
Object recognition
Pixels
Internet

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

Cite this

Automatic detection of human nudes. / Forsyth, David Alexander; Fleck, Margaret M.

In: International Journal of Computer Vision, Vol. 32, No. 1, 01.01.1999, p. 63-77.

Research output: Contribution to journalArticle

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