DocumentCode :
2206568
Title :
Image Mosaic Based on SURF Feature Matching
Author :
Hong, Jingxin ; Lin, Wu ; Zhang, Hao ; Li, Lin
Author_Institution :
Coll. of Inf. Sci. & Technol., Xiamen Univ., Xiamen, China
fYear :
2009
fDate :
26-28 Dec. 2009
Firstpage :
1287
Lastpage :
1290
Abstract :
In the paper, an image mosaic algorithm based on SURF feature matching is proposed. The algorithm uses SURF operator which has strong robustness and superior performance to extract features instead of conventional SIFT operator. The extracted features are matched by a novel matching scheme - fast bidirectional matching. Then a RANSAC algorithm is applied to eliminate outliers and obtain the transformation matrix between images. Finally images are stitched by a multi-band blending algorithm. The presented algorithm overcomes the disadvantages of the traditional image mosaic methods which are susceptible to different scale and moving objects, and has a great improvement in calculation speed. Experimental results show that the method with strong robustness performs fast and effectively.
Keywords :
feature extraction; image segmentation; RANSAC algorithm; SIFT operator; SURF feature matching; feature extraction; image mosaic algorithm; multiband blending algorithm; Data mining; Detectors; Educational institutions; Feature extraction; Filters; Image fusion; Image processing; Information science; Military satellites; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
Type :
conf
DOI :
10.1109/ICISE.2009.650
Filename :
5454478
Link To Document :
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