完整後設資料紀錄
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dc.contributor.authorJavidi, Bahramen_US
dc.contributor.authorShen, Xinen_US
dc.contributor.authorMarkman, Adam S.en_US
dc.contributor.authorLatorre-Carmona, Pedroen_US
dc.contributor.authorMartinez-Uso, Adolfoen_US
dc.contributor.authorMartinez Sotoca, Joseen_US
dc.contributor.authorPla, Filibertoen_US
dc.contributor.authorMartinez-Corral, Manuelen_US
dc.contributor.authorSaavedra, Genaroen_US
dc.contributor.authorHuang, Yi-Paien_US
dc.contributor.authorStern, Adrianen_US
dc.date.accessioned2018-08-21T05:53:58Z-
dc.date.available2018-08-21T05:53:58Z-
dc.date.issued2017-05-01en_US
dc.identifier.issn0018-9219en_US
dc.identifier.urihttp://dx.doi.org/10.1109/JPROC.2017.2654318en_US
dc.identifier.urihttp://hdl.handle.net/11536/145422-
dc.description.abstractMultidimensional optical imaging systems for information processing and visualization technologies have numerous applications in fields such as manufacturing, medical sciences, entertainment, robotics, sur-veillance, and defense. Among different 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 system (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 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.en_US
dc.language.isoen_USen_US
dc.subject3-D endoscopyen_US
dc.subject3-D human activity recognitionen_US
dc.subject3-D imagingen_US
dc.subjectdynamic integral imagingen_US
dc.subjectlong-range integral imagingen_US
dc.subjectmaterial analysisen_US
dc.subjectmultidimensional object recognitionen_US
dc.subjectmultispectral imagingen_US
dc.subjectphoton countingen_US
dc.subjectpolarimetric imagingen_US
dc.titleMultidimensional Optical Sensing and Imaging System (MOSIS): From Macroscales to Microscalesen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/JPROC.2017.2654318en_US
dc.identifier.journalPROCEEDINGS OF THE IEEEen_US
dc.citation.volume105en_US
dc.citation.spage850en_US
dc.citation.epage875en_US
dc.contributor.department光電工程學系zh_TW
dc.contributor.department交大-IBM智慧物聯網與巨量資料分析研發中心zh_TW
dc.contributor.departmentDepartment of Photonicsen_US
dc.identifier.wosnumberWOS:000399952500007en_US
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