DocumentCode
2237286
Title
Knowledge-based image understanding using incomplete and generic models
Author
Walker, Ellen L.
Author_Institution
Dept. of Comput. Sci., Rensselaer Polytech. Inst., Troy, NY, USA
fYear
1993
fDate
15-17 Jun 1993
Firstpage
699
Lastpage
700
Abstract
A unified representation for image understanding that includes generic models of both objects and sensors is presented. Image understanding tasks such as model-based stereo fusion are performed by applying computation, specialization, and matching up to this representation. Although specialized techniques for a given task are more efficient than the generalized method described, the general formulation allows unforeseen combinations of a priori knowledge and images
Keywords
computer vision; image matching; knowledge representation; sensor fusion; stereo image processing; a priori knowledge; generic models; incomplete models; knowledge-based image understanding; model-based stereo; Cameras; Computer vision; Image segmentation; Image sensors; Knowledge representation; Layout; Object recognition; Sensor phenomena and characterization; Solid modeling; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on
Conference_Location
New York, NY
ISSN
1063-6919
Print_ISBN
0-8186-3880-X
Type
conf
DOI
10.1109/CVPR.1993.340960
Filename
340960
Link To Document