DocumentCode :
657912
Title :
An Effective Blur Invariant Interest Point Detector
Author :
Jin Xie ; Zixing Cai
Author_Institution :
Sch. of Inf. Sci. & Eng., Central South Univ., Changsha, China
fYear :
2013
fDate :
14-15 Sept. 2013
Firstpage :
281
Lastpage :
284
Abstract :
In order to extract interest point under some object deformations, such as image blur, geometric deformation et al., an invariant interest point detector based on Gabor multi scale-space was proposed. Firstly, build the Gabor multi scale-space representation by smoothing the image with a series of Gabor filters, secondly, detect the interest points by searching maximum response in the Gabor multi scale-space and determine the characteristic scale directly, finally, describe the local structure of interest point. The experimental data demonstrate that the proposed detector obtains the best performance under image blur in terms of repeatability and matching score.
Keywords :
Gabor filters; computational geometry; feature extraction; image matching; image representation; image restoration; smoothing methods; Gabor filters; Gabor multiscale-space representation; blur invariant interest point detector; characteristic scale; geometric deformation; image blur; image smoothing; interest point extraction; local interest point structure; matching score; maximum response search; object deformations; repeatability; Computer vision; Detectors; Educational institutions; Feature extraction; Gabor filters; Information science; Shape; characteristic scale; gabor filter; image blur; multiscale-space;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Virtual Reality and Visualization (ICVRV), 2013 International Conference on
Conference_Location :
Xi´an
Type :
conf
DOI :
10.1109/ICVRV.2013.54
Filename :
6689436
Link To Document :
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