Multidimensional Optical Sensing and Imaging Systems (MOSIS): From Macro to Micro Scales
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Other documents of the author: Javidi, Bahram; Shen, Xin; Markman, Adam; Latorre Carmona, Pedro; Martínez Usó, Adolfo; Martínez Sotoca, José; Pla, Filiberto; Martínez Corral, Manuel; Saavedra, Genaro; Huang, Yi-Pai; Stern, Adrián
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comunitat-uji-handle2:10234/43662
comunitat-uji-handle3:10234/43643
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INVESTIGACIONMetadata
Title
Multidimensional Optical Sensing and Imaging Systems (MOSIS): From Macro to Micro ScalesAuthor (s)
Date
2017Publisher
Institute of Electrical and Electronics Engineers (IEEE)ISSN
0018-9219Type
info:eu-repo/semantics/articlePublisher version
http://ieeexplore.ieee.org/document/7866839/Version
info:eu-repo/semantics/publishedVersionSubject
Abstract
Multidimensional optical imaging systems for information processing and visualization technologies have numerous applications in fields such as manufacturing, medical sciences, entertainment, robotics, surveillance, ... [+]
Multidimensional optical imaging systems for information processing and visualization technologies have numerous applications in fields such as manufacturing, medical sciences, entertainment, robotics, surveillance, and defense. Among different three-dimensional (3-D) imaging methods, integral imaging is a promising multiperspective sensing and display technique. Compared with other 3-D imaging techniques, integral imaging can capture a scene using an incoherent light source and generate real 3-D images for observation without any special viewing devices. This review paper describes passive multidimensional imaging systems combined with different integral imaging configurations. One example is the integral-imaging-based multidimensional optical sensing and imaging systems (MOSIS), which can be used for 3-D visualization, seeing through obscurations, material inspection, and object recognition from microscales to long range imaging. This system utilizes many degrees of freedom such as time and space multiplexing, depth information, polarimetric, temporal, photon flux and multispectral information based on integral imaging to record and reconstruct the multidimensionally integrated scene. Image fusion may be used to integrate the multidimensional images obtained by polarimetric sensors, multispectral cameras, and various multiplexing techniques. The multidimensional images contain substantially more information compared with two-dimensional (2-D) images or conventional 3-D images. In addition, we present recent progress and applications of 3-D integral imaging including human gesture recognition in the time domain, depth estimation, mid-wave-infrared photon counting, 3-D polarimetric imaging for object shape and material identification, dynamic integral imaging implemented with liquid-crystal devices, and 3-D endoscopy for healthcare applications. [-]
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Proceedings of the IEEE, Vol. 105, No. 5, May 2017Rights
0018-9219 © 2017 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications standards/publications/rights/index.html for more information.
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info:eu-repo/semantics/openAccess
http://rightsstatements.org/vocab/InC/1.0/
info:eu-repo/semantics/openAccess
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- INIT_Articles [754]