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