DocumentCode :
476236
Title :
Automatic computation of fundamental matrix together with interest points in correspondence between two images
Author :
Zhao, Jie ; Yang, Feng ; Liu, Wei-jing
Author_Institution :
Coll. of Electron. & Inf. Eng., Hebei Univ., Baoding
Volume :
5
fYear :
2008
fDate :
12-15 July 2008
Firstpage :
2805
Lastpage :
2809
Abstract :
The fundamental matrix is a basic tool in the analysis of scenes taken with two uncalibrated cameras. As was known, the corresponding cameras matrix may then be determined, up to a projective ambiguity, from the computed F, so the following actions will be continued such as reconstruction and so on. In the paper, the method for computing F from a set of corresponding image points is described, and the scale-invariant features extracting is used for computing the interest points. Experimental results show that, the method described is very exactly.
Keywords :
feature extraction; geometry; matrix algebra; automatic computation; cameras matrix; feature extraction; fundamental matrix; Cameras; Cybernetics; Educational institutions; Geometry; Image analysis; Image reconstruction; Information analysis; Layout; Machine learning; Transmission line matrix methods; Epipolar Geometry; Feature detection; Fundamental Matrix; L-M Algorithm; RANSAC; Two-View Geometry;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
Type :
conf
DOI :
10.1109/ICMLC.2008.4620885
Filename :
4620885
Link To Document :
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