Identifying nude pictures

Research output: Contribution to conferencePaper

Abstract

This paper demonstrates an automatic system for telling whether there are naked people present in an image. The approach combines color and texture properties to obtain a mask for skin regions, which is shown to be effective for a wide range of shades and colors of skin. These skin regions are then fed to a specialized grouper, which attempts to group a human figure using geometric constraints on human structure. This approach introduces a new 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 naked people, mostly obtained from the Internet, and 4289 assorted control images, drawn from a wide collection of sources.

Original languageEnglish (US)
Pages103-107
Number of pages5
StatePublished - Dec 1 1996
Externally publishedYes
EventProceedings of the 1996 3rd IEEE Workshop on Applications of Computer Vision, WACV'96 - Sarasota, FL, USA
Duration: Dec 2 1996Dec 4 1996

Other

OtherProceedings of the 1996 3rd IEEE Workshop on Applications of Computer Vision, WACV'96
CitySarasota, FL, USA
Period12/2/9612/4/96

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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  • Cite this

    Forsyth, D. A., & Fleck, M. M. (1996). Identifying nude pictures. 103-107. Paper presented at Proceedings of the 1996 3rd IEEE Workshop on Applications of Computer Vision, WACV'96, Sarasota, FL, USA, .