DocumentCode :
3418779
Title :
Research of image matching algorithm based on SURF features
Author :
Hui, Dong ; Yuan, Han Dian
Author_Institution :
Comput. Eng. Sch., WeiFang Univ., Weifang, China
fYear :
2012
fDate :
24-26 Aug. 2012
Firstpage :
1140
Lastpage :
1143
Abstract :
Previous images matching uses algorithm based on SIFT which has lots of calculating works and low time-efficiency. In this paper, we use SURF algorithm to detect and descript the interest points, and match the interest points by using high time-efficient KD-tree nearest neighbor searching method. The experimental result shows that it has good time efficiency and excellent robustness.
Keywords :
feature extraction; image matching; object detection; tree searching; KD-tree nearest neighbor searching method; SIFT; SURF feature; image matching algorithm; interest point detection; Image matching; KD-tree; image matching; speeded up robust features(SURF);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Processing (CSIP), 2012 International Conference on
Conference_Location :
Xi´an, Shaanxi
Print_ISBN :
978-1-4673-1410-7
Type :
conf
DOI :
10.1109/CSIP.2012.6309059
Filename :
6309059
Link To Document :
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