DocumentCode :
2009355
Title :
An improved algorithm for feature point matching
Author :
Chang Ying- ; Hong, Ren ; Ben-zhi, Dong
Author_Institution :
Inf. & Comput. Eng. Coll., Northeast Forestry Univ., Harbin, China
Volume :
4
fYear :
2010
fDate :
17-18 July 2010
Firstpage :
112
Lastpage :
115
Abstract :
According to the two video cameras in system of binocular stereo vision are at the same horizontal line and the collected images have the public areas, an improved feature point matching algorithm is put forward. This algorithm extracts the public areas from the two images, makes the feature point locate in a rectangular area and reduces the searching range in the matching process; then, it completes the coarse matching by the cross template matching and matches the feature point accurately using the epipolar line constraints and removes the edge points mismatched. Experimental results show that this method is simple and efficient, and it has the certain practical.
Keywords :
image matching; stereo image processing; video cameras; binocular stereo vision system; cross template matching algorithm; edge points; epipolar line constraints; improved feature point matching algorithm; video cameras; Educational institutions; boundary extraction; epipolar constraint; feature point matching; template matching;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Environmental Science and Information Application Technology (ESIAT), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7387-8
Type :
conf
DOI :
10.1109/ESIAT.2010.5568390
Filename :
5568390
Link To Document :
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