- Title
- Rotation invariant spatial pyramid matching for image classification
- Creator
- Karmakar, Priyabrata; Teng, Shyh; Lu, Guojun; Zhang, Dengsheng
- Date
- 2015
- Type
- Text; Conference proceedings
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/100811
- Identifier
- vital:10602
- Identifier
-
https://doi.org/10.1109/DICTA.2015.7371303
- Abstract
- This paper proposes a new Spatial Pyramid representation approach for image classification. Unlike the conventional Spatial Pyramid, the proposed method is invariant to rotation changes in the images. This method works by partitioning an image into concentric rectangles and organizing them into a pyramid. Each pyramidal region is then represented using a histogram of visual words. Our experimental results show that our proposed method significantly outperforms the conventional method. © 2015 IEEE.
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Rights
- Copyright © 2015 IEEE.
- Rights
- This metadata is freely available under a CCO license
- Subject
- Image classification; Rotation Invariance; Spatial Pyramid Matching; Support Vector Machine
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