Document (#17764)

Author

Forsyth, D.A.

Title

Finding pictures of objects in large collections of images

Source

Digital image access and retrieval: Proceedings of the 1996 Clinic on Library Applications of Data Processing, 24-26 Mar 1996. Ed.: P.B. Heidorn u. B. Sandore

Imprint

Urbana-Champaign, IL : Illinois University at Urbana-Champaign, Department of Library and Information Science

Year

1997

Pages

S.118-139

Abstract

Describes an approach to the problem of object recognition structured around a sequence of increasingly specialised grouping activities that assemble coherent regions of images that can be sown to satisfy increasingly stringent conditions. The recognition system is designed to cope with: colour and texture; the ability to deal with general objects in uncontrolled configurations and contexts; and a satisfactory notion of classification. These properties are illustrated using 3 case studies, demonstrating: the use of descriptions that fuse colour and spatial properties; the use of fusion of texture and geometric properties to describes trees; and the use of a recognition system to determine accurately whether an image contains people and animals

Form

Bilder

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