Rotation invariant simultaneous clustering and dictionary learning

Chen, Y -C and Challa, Subrahmanya Sastry and Patel, V M and Phillips, P J and Chellappa, R (2012) Rotation invariant simultaneous clustering and dictionary learning. In: 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, 25-30, March 2012, Kyoto; Japan.

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Abstract

In this paper, we present an approach that simultaneously clusters database members and learns dictionaries from the clusters. The method learns dictionaries in the Radon transform domain, while clustering in the image domain. Themain feature of the proposed approach is that it provides rotation invariant clustering which is useful in Content Based Image Retrieval (CBIR). We demonstrate through experimental results that the proposed rotation invariant clustering provides better retrieval performance than the standard Gabor-based method that has similar objectives.

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IITH Creators:
IITH CreatorsORCiD
Challa, Subrahmanya SastryUNSPECIFIED
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: CBIR; clustering; dictionary learning; Radon transform; rotation invariance
Subjects: Mathematics
Divisions: Department of Mathematics
Depositing User: Mr. Siva Shankar K
Date Deposited: 16 Oct 2014 07:18
Last Modified: 01 Sep 2017 10:18
URI: http://raiith.iith.ac.in/id/eprint/441
Publisher URL: https://doi.org/10.1109/ICASSP.2012.6288067
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