DocumentCode :
3073405
Title :
Geometric invariant of noncoplanar lines in a single view
Author :
Sugimoto, Akihiro
Author_Institution :
ATR Human Inf. Process. Res. Labs., Kyoto, Japan
Volume :
1
fYear :
1994
fDate :
9-13 Oct 1994
Firstpage :
190
Abstract :
The importance of geometric invariants to many machine vision tasks, such as model-based recognition, has been recognized. A number of studies on geometric invariants in a single view concentrate on coplanar objects: coplanar points, coplanar lines, coplanar conics, etc. Therefore, it is essentially only to 2-D objects that we can apply methods using geometric invariants. This paper presents a study on geometric invariants of noncoplanar objects, i.e., 3-D objects. A new geometric invariant is derived from six lines on three planes in a single view. The condition under which the invariant is nonsingular is also described. In addition, we present some experimental results with real images and find that the values of the invariant over a number of viewpoints remain stable even for noisy images
Keywords :
image recognition; geometric invariants; machine vision; model-based recognition; noncoplanar lines; nonsingular invariant; Computer vision; Equations; Hip; Humans; Information processing; Laboratories; Libraries; Machine vision; Object recognition; Solid modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1994. Vol. 1 - Conference A: Computer Vision & Image Processing., Proceedings of the 12th IAPR International Conference on
Conference_Location :
Jerusalem
Print_ISBN :
0-8186-6265-4
Type :
conf
DOI :
10.1109/ICPR.1994.576255
Filename :
576255
Link To Document :
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