Image Matching Combine SIFT with Regional SSDA

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...

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Bibliographic Details
Published in2012 International Conference on Control Engineering and Communication Technology pp. 177 - 179
Main Authors Wentao Qiu, Jian Zhao, Jie Liu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2012
Subjects
Algorithm design and analysis
Computer vision
Feature extraction
Image edge detection
Image matching
Lighting
SIFT
SSDA
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ISBN9781467344999
1467344990
DOI10.1109/ICCECT.2012.78

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Summary: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.
ISBN:9781467344999
1467344990
DOI:10.1109/ICCECT.2012.78