Title :
Hypothesizing and testing geometric attributes of image data
Author :
Kanatani, Kenichi
Author_Institution :
Dept. of Comput. Sci., Gunma Univ., Japan
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;
Conference_Titel :
Computer Vision, 1990. Proceedings, Third International Conference on
Conference_Location :
Osaka
Print_ISBN :
0-8186-2057-9
DOI :
10.1109/ICCV.1990.139553
