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 :
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