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