DocumentCode :
1742775
Title :
Robust vanishing point determination in noisy images
Author :
Bräuer-Burchardt, Christian ; Voss, Klaus
Author_Institution :
Inst. for Comput. Sci., Friedrich-Schiller-Univ., Jena, Germany
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
559
Abstract :
Some methods for the determination of vanishing points using line segments are presented. By indicating the identity between a method using Thales´ theorem and a Gaussian sphere based method we show that the knowledge of the position of the projection centre is not necessary as mostly assumed. This fact allows an accuracy improvement of a number of former methods using Gaussian sphere representation. We show by presenting some simulation experiments that the methods give very accurate results even in the case of very strong disturbances. With the knowledge of the noise value of the segment end point positions the random error can be estimated and the uncertainty of the calculated vanishing point can be determined
Keywords :
image processing; minimisation; Gaussian sphere based method; Thales´ theorem; accuracy improvement; line segments; noisy images; random error; robust vanishing point determination; very strong disturbances; Calibration; Cameras; Computer science; Digital images; GSM; Image analysis; Image reconstruction; Image segmentation; Robustness; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
ISSN :
1051-4651
Print_ISBN :
0-7695-0750-6
Type :
conf
DOI :
10.1109/ICPR.2000.905399
Filename :
905399
Link To Document :
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