title: Three-Dimensional Photon Counting Imaging with Axially Distributed Sensing.
abstract: In this paper, we review three-dimensional (3D) photon counting imaging with axially distributed sensing. Under severely photon-starved conditions, we have proposed various imaging and algorithmic approaches to reconstruct a scene in 3D, which are not possible by using conventional imaging system due to lack of sufficient number of photons. In this paper, we present an overview of optical sensing and imaging system along with dedicated algorithms for reconstructing 3D scenes by photon counting axially distributed sensing, which may be implemented by moving a single image sensor along its optical axis. To visualize the 3D image, statistical estimation methods and computational reconstruction of axially distributed sensing is applied.
authors.affiliation: Department of Electrical, Electronic, and Control Engineering, Institute of Information Telecommunication Convergence (IITC), Hankyong National University, 327 Chungang-ro, Anseong-si, Kyonggi-do 456-749, Korea. mjcho@hknu.ac.kr.
authors.forename: Myungjin
authors.initials: M
authors.lastname: Cho
authors.affiliation: Electrical and Computer Engineering Department, University of Connecticut, Unit 4157, Storrs, CT 06269, USA. bahram@engr.uconn.edu.
authors.forename: Bahram
authors.initials: B
authors.lastname: Javidi
keywords: Poisson distribution; axially distributed sensing; photon counting imaging; statistical estimation