DocumentCode
2879126
Title
Research on Binocular Stereo Matching Algorithm Based on Feature Points
Author
Wang, Weiliang ; Wei, Zhiqiang ; Yin, Bo
Author_Institution
Coll. of Inf. Sci. & Eng., Ocean Univ. of China, Qingdao, China
fYear
2009
fDate
19-20 Dec. 2009
Firstpage
1
Lastpage
4
Abstract
Firstly, the Harris corner detector is improved to detect feature points and the method to describe the features of the points with SIFT (scale invariant feature transform) is enhanced. Secondly, Euclidian distance is utilized to get exact matching in the point set above. Finally, a simple efficient way to eliminate wrong matches is given. This method is proved to meet the needs of real-time binocular vision by actual test, and it can be applied to practice.
Keywords
feature extraction; image matching; object detection; stereo image processing; Euclidian distance; Harris corner detector; binocular stereo matching; binocular vision; feature point detection; scale invariant feature transform; Computer vision; Detectors; Educational institutions; Feature extraction; Gray-scale; Image matching; Information science; Oceans; Target recognition; Testing; SIFT; binocular vision; feature point; image matching;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4994-1
Type
conf
DOI
10.1109/ICIECS.2009.5367138
Filename
5367138
Link To Document