DocumentCode
2989488
Title
Image Matching Combine SIFT with Regional SSDA
Author
Wentao Qiu ; Jian Zhao ; Jie Liu
Author_Institution
Changchun Inst. of Opt., Fine Mech. & Phys., Changchun, China
fYear
2012
fDate
7-9 Dec. 2012
Firstpage
177
Lastpage
179
Abstract
Image matching is at the base of many computer vision problems, such as object recognition or image stitching. Standard SIFT provides poor performance when images under viewpoint change conditions and with similar corners. Hence, we propose a matching algorithm combine regional SSDA with simplified SIFT algorithm. We demonstrate through experiments that our algorithm yields better performance in images of viewpoint change and similar feature points. Besides, the simplified algorithm cut down about half the time was originally needed in our tested images.
Keywords
computer vision; image matching; object recognition; transforms; SIFT algorithm; computer vision problem; feature point; image matching; image stitching; object recognition; regional SSDA; scale-invariant feature transform; sequential similarity detection algorithm; viewpoint change condition; Algorithm design and analysis; Computer vision; Feature extraction; Image edge detection; Image matching; Lighting; Standards; Image matching; SIFT; SSDA;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Engineering and Communication Technology (ICCECT), 2012 International Conference on
Conference_Location
Liaoning
Print_ISBN
978-1-4673-4499-9
Type
conf
DOI
10.1109/ICCECT.2012.78
Filename
6414125
Link To Document