Published October 1994
| Published
Book Section - Chapter
Open
Rotation Invariant Texture Recognition Using a Steerable Pyramid
- Creators
- Greenspan, H.
-
Belongie, S.
- Goodman, R.
-
Perona, P.
Chicago
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Abstract
A rotation-invariant texture recognition system is presented. A steerable oriented pyramid is used to extract representative features for the input textures. The steerability of the filter set allows a shift to an invariant representation via a DFT-encoding step. Supervised classification follows. State-of-the-art recognition results are presented on a 30 texture database with a comparison across the performance of the K-nn, back-propagation and rule-based classifiers. In addition, high accuracy estimation of the input rotation angle is demonstrated
Additional Information
© 1994 IEEE. Date of Current Version: 06 August 2002. This work was supported in part by Pacific Bell, and in part by ARPA and ONR under grant no. N00014-92-J-1860. H. Greenspan was supported in part by an Intel fellowship. P. Perona is supported by NSF Research Initiation grant IRI 9211651 and by an NSF NYI award.Attached Files
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Additional details
- Eprint ID
- 29608
- Resolver ID
- CaltechAUTHORS:20120306-154819133
- Pacific Bell
- Advanced Research Projects Agency (ARPA)
- Office of Naval Research (ONR)
- N00014-92-J-1860
- Intel
- NSF
- IRI-9211651
- Created
-
2012-03-12Created from EPrint's datestamp field
- Updated
-
2021-11-09Created from EPrint's last_modified field
- Series Name
- International Conference on Pattern Recognition