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Optics InfoBase > Conference Papers > COSI > 2013 > CTu1C > Page CTu1C.3 © 2013 OSA

Conference Paper
Computational Optical Sensing and Imaging
Arlington, Virginia United States
June 23-27, 2013
ISBN: 978-1-55752-975-6
Structured Illumination and Single-pixel Imaging (CTu1C)

Compressive Classification via Secant Projections

Yun Li, Chinmay Hegde, Richard G. Baraniuk, and Kevin F. Kelly  »View Author Affiliations


http://dx.doi.org/10.1364/COSI.2013.CTu1C.3


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Abstract

One novel dimensional reduction method based on manifold modeling is applied on Rice single pixel camera for targets classification. The number of measurements is at least halved compared with equivalent classification result via random projections.

© 2013 OSA

OCIS Codes
(110.2970) Imaging systems : Image detection systems
(110.1758) Imaging systems : Computational imaging

Citation
Y. Li, C. Hegde, R. G. Baraniuk, and K. F. Kelly, "Compressive Classification via Secant Projections," in Imaging and Applied Optics, OSA Technical Digest (online) (Optical Society of America, 2013), paper CTu1C.3.
http://www.opticsinfobase.org/abstract.cfm?URI=COSI-2013-CTu1C.3


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