DocumentCode
2994047
Title
Learning rules for 3D object recognition
Author
Hoffman, Richard ; Jain, Anil K.
Author_Institution
Northrop Res. & Technol. Center, Palos Verdes Peninsula, CA, USA
fYear
1988
fDate
5-9 Jun 1988
Firstpage
885
Lastpage
892
Abstract
A fully autonomous computer-vision system needs the ability to automatically learn, or discover, from training views of objects the object information (models) needed for recognition. One approach to object recognition uses an evidence rulebase composed of objects with corresponding degrees of evidence for the various objects in the databases. A technique for automatically deriving the evidence rulebase from training views of objects is presented. This generated rulebase is shown to provide successful recognition of new views of those objects
Keywords
artificial intelligence; computer vision; learning systems; 3D object recognition; artificial intelligence; autonomous computer-vision system; evidence rulebase; learning rules; learning systems; training views; Artificial intelligence; Computer science; Computer vision; Horses; Humans; Image converters; Object recognition; Shape; Spatial databases; Training data;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1988. Proceedings CVPR '88., Computer Society Conference on
Conference_Location
Ann Arbor, MI
ISSN
1063-6919
Print_ISBN
0-8186-0862-5
Type
conf
DOI
10.1109/CVPR.1988.196337
Filename
196337
Link To Document