DocumentCode
682787
Title
Multi target recognition based on SURF algorithm
Author
Fengxu Guan ; Xiaolong Liu ; Weixing Feng ; Hongwei Mo
Author_Institution
Coll. of Autom., Harbin Eng. Univ., Harbin, China
Volume
01
fYear
2013
fDate
16-18 Dec. 2013
Firstpage
448
Lastpage
453
Abstract
In order to carry on multi target recognition quickly and effectively, according to the characteristics of SIFT, PCASIFT and SURF algorithm, a method of multi target recognition based on SURF algorithm and OpenCV is studied. The method includes multi angles recognition and multi targets recognition. Firstly, feature points were extracted single target or multiple targets by SURF algorithm, then storing feature of target in the database, Secondly traversal targets database in the process of image registration to recognize the target, Finally, a series of tests are make to evaluate the method. Experimental results show that SURF algorithm has better robustness for characteristics of two-dimensional for rotation, scale changes and occlusion. And the three-dimensional rotation targets and multiple targets are identified quickly and effectively.
Keywords
feature extraction; image registration; object recognition; OpenCV; PCASIFT algorithm; SIFT algorithm; SURF algorithm; feature points extraction; image registration; multiangles recognition; multitarget recognition; occlusion characteristics; rotation characteristics; scale changes characteristics; scale invariant feature transform; speeded up robust features; storing feature; three-dimensional rotation targets; traversal targets database; Algorithm design and analysis; Computers; Databases; Feature extraction; Image recognition; Signal processing algorithms; Target recognition; SURF; multi angle recognition of single targets; multiple targets recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing (CISP), 2013 6th International Congress on
Conference_Location
Hangzhou
Print_ISBN
978-1-4799-2763-0
Type
conf
DOI
10.1109/CISP.2013.6744036
Filename
6744036
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