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 language | English (US) |
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Pages | 103-107 |
Number of pages | 5 |
State | Published - 1996 |
Externally published | Yes |
Event | Proceedings of the 1996 3rd IEEE Workshop on Applications of Computer Vision, WACV'96 - Sarasota, FL, USA Duration: Dec 2 1996 → Dec 4 1996 |
Other
Other | Proceedings of the 1996 3rd IEEE Workshop on Applications of Computer Vision, WACV'96 |
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City | Sarasota, FL, USA |
Period | 12/2/96 → 12/4/96 |
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Hardware and Architecture
- Electrical and Electronic Engineering