Please use this identifier to cite or link to this item: https://doi.org/10.1109/CVPRW.2009.5206741
Title: Combining powerful local and global statistics for texture description
Authors: Xu, Y.
Huang, S.
Ji, H. 
Fermüller, C.
Issue Date: 2009
Citation: Xu, Y.,Huang, S.,Ji, H.,Fermüller, C. (2009). Combining powerful local and global statistics for texture description. 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009 : 573-580. ScholarBank@NUS Repository. https://doi.org/10.1109/CVPRW.2009.5206741
Abstract: A texture descriptor is proposed, which combines local highly discriminative features with the global statistics of fractal geometry to achieve high descriptive power, but also invariance to geometric and illumination transformations. As local measurements SIFT features are estimated densely at multiple window sizes and discretized. On each of the discretized measurements the fractal dimension is computed to obtain the so-called multifractal spectrum, which is invariant to geometric transformations and illumination changes. Finally to achieve robustness to scale changes, a multi-scale representation of the multifractal spectrum is developed using a framelet system, that is, a redundant tight wavelet frame system. Experiments on classification demonstrate that the descriptor outperforms existing methods on the UIUC as well as the UMD high-resolution dataset. ©2009 IEEE.
Source Title: 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009
URI: http://scholarbank.nus.edu.sg/handle/10635/104545
ISBN: 9781424439935
DOI: 10.1109/CVPRW.2009.5206741
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

34
checked on Sep 29, 2022

Page view(s)

111
checked on Sep 22, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.