title: 3D passive photon counting automatic target recognition using advanced correlation filters.
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.
authors.affiliation: Electrical and Computer Engineering Department, University of Connecticut, Storrs, Connecticut 06269, USA.
authors.forename: Myungjin
authors.initials: M
authors.lastname: Cho
authors.forename: Abhijit
authors.initials: A
authors.lastname: Mahalanobis
authors.forename: Bahram
authors.initials: B
authors.lastname: Javidi