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
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;
Conference_Titel :
Control Engineering and Communication Technology (ICCECT), 2012 International Conference on
Conference_Location :
Liaoning
Print_ISBN :
978-1-4673-4499-9
DOI :
10.1109/ICCECT.2012.78
