DocumentCode
2586378
Title
Hypothesizing and testing geometric attributes of image data
Author
Kanatani, Kenichi
Author_Institution
Dept. of Comput. Sci., Gunma Univ., Japan
fYear
1990
fDate
4-7 Dec 1990
Firstpage
370
Lastpage
373
Abstract
A general formalism for detecting geometric configurations of image data is presented. The author first estimates an ideal geometric configuration that supposedly exists, and then checks to what extent the original edges must be displaced in order to support the hypothesis. All types of tests are reduced to computing a single measure of edge displacement which provides a universal measure of uncertainty applicable to all types of decision-making
Keywords
computer vision; computerised picture processing; decision-making; edge displacement; edges; formalism; geometric attributes testing; geometric configurations; hypothesis; image data; uncertainty; Computer science; Computer vision; Data mining; Displacement measurement; Image edge detection; Image processing; Image segmentation; Measurement uncertainty; Shape; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision, 1990. Proceedings, Third International Conference on
Conference_Location
Osaka
Print_ISBN
0-8186-2057-9
Type
conf
DOI
10.1109/ICCV.1990.139553
Filename
139553
Link To Document