DocumentCode :
3015548
Title :
A New Corner Detection Algorithm with SUSAN Fast Hierarchical Method
Author :
Zhao, Jie ; Ma, Haichao ; Men, Guozun
Author_Institution :
Coll. of Electron. & Inf. Eng., Hebei Univ. Baoding, Baoding, China
fYear :
2009
fDate :
8-9 Dec. 2009
Firstpage :
112
Lastpage :
115
Abstract :
A new fast corner detection algorithm is proposed by the discriminant introduction of the corner "quality¿ considering the defect of the traditional algorithm using SUSAN method. With the fast hierarchical algorithm based on SUSAN method, the coarse positions of corners are quickly determined firstly. Secondly, the discriminant introduction of the corner "quality" reduces the amount of corners. Then, the precise search finds the exact positions of corners. The experimental results show that this method greatly improves the speed of operation and saves lots of time. Besides, the effect of the corners matching is also better.
Keywords :
edge detection; image matching; object detection; SUSAN fast hierarchical method; corner detection algorithm; corner matching; corner quality; Asia; Computational complexity; Detection algorithms; Economic forecasting; Educational institutions; Fourier transforms; Gray-scale; Image edge detection; Pixel; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Interaction and Affective Computing, 2009. ASIA '09. International Asia Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3910-2
Electronic_ISBN :
978-1-4244-5406-8
Type :
conf
DOI :
10.1109/ASIA.2009.23
Filename :
5376047
Link To Document :
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