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3D passive photon counting automatic target recognition using advanced correlation filters |
Optics Letters, Vol. 36, Issue 6, pp. 861-863 (2011)
http://dx.doi.org/10.1364/OL.36.000861
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Abstract
In this Letter, we present results for detecting and recognizing 3D objects in photon counting images using integral imaging with maximum average correlation height filters. We show that even under photon starved conditions objects may be automatically recognized in passively sensed 3D images using advanced correlation filters. We show that the proposed filter synthesized with ideal training images can detect and recognize a 3D object in photon counting images, even in the presence of occlusions and obscuration.
© 2011 Optical Society of America
OCIS Codes
(030.5260) Coherence and statistical optics : Photon counting
(100.5010) Image processing : Pattern recognition
(100.6890) Image processing : Three-dimensional image processing
ToC Category:
Image Processing
History
Original Manuscript: December 13, 2010
Manuscript Accepted: February 4, 2011
Published: March 9, 2011
Citation
Myungjin Cho, Abhijit Mahalanobis, and Bahram Javidi, "3D passive photon counting automatic target recognition using advanced correlation filters," Opt. Lett. 36, 861-863 (2011)
http://www.opticsinfobase.org/ol/abstract.cfm?URI=ol-36-6-861
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