DocumentCode :
2676738
Title :
Hybrid ICA with wavelet for describing local regions
Author :
Zhu, Lili ; Yuan, Hua
Author_Institution :
Sch. of Inf. Media Eng., Changchun Univ. of Technol., Changchun, China
Volume :
6
fYear :
2010
fDate :
24-26 Aug. 2010
Firstpage :
307
Lastpage :
310
Abstract :
In this paper present a local regions descriptors representation method based on independent components analysis (ICA) and wavelet transform. We reduce the feature dimensions using ICA. The proposed algorithm first finds the characteristic scale and the location for the interest points. And then wavelet transform is performed on the neighborhood of the local regions and get low frequency gradient feature. The experiments show that our method is more accurate and fast than some standard method.
Keywords :
gradient methods; independent component analysis; wavelet transforms; hybrid ICA; independent components analysis; local regions descriptors representation method; low frequency gradient feature; wavelet transform; Detectors; Feature descriptors; Matching; Wavelet transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-7957-3
Type :
conf
DOI :
10.1109/CMCE.2010.5609850
Filename :
5609850
Link To Document :
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