000075700 001__ 75700 000075700 005__ 20190819101350.0 000075700 0247_ $$2doi$$a10.1145/3130800.3130896 000075700 0248_ $$2sideral$$a104308 000075700 037__ $$aART-2017-104308 000075700 041__ $$aeng 000075700 100__ $$aBaek, S.H. 000075700 245__ $$aCompact single-shot hyperspectral imaging using a prism 000075700 260__ $$c2017 000075700 5060_ $$aAccess copy available to the general public$$fUnrestricted 000075700 5203_ $$aWe present a novel, compact single-shot hyperspectral imaging method. It enables capturing hyperspectral images using a conventional DSLR camera equipped with just an ordinary refractive prism in front of the camera lens. Our computational imaging method reconstructs the full spectral information of a scene from dispersion over edges. Our setup requires no coded aperture mask, no slit, and no collimating optics, which are necessary for traditional hyperspectral imaging systems. It is thus very cost-effective, while still highly accurate. We tackle two main problems: First, since we do not rely on collimation, the sensor records a projection of the dispersion information, distorted by perspective. Second, available spectral cues are sparse, present only around object edges. We formulate an image formation model that can predict the perspective projection of dispersion, and a reconstruction method that can estimate the full spectral information of a scene from sparse dispersion information. Our results show that our method compares well with other state-of-the-art hyperspectral imaging systems, both in terms of spectral accuracy and spatial resolution, while being orders of magnitude cheaper than commercial imaging systems. 000075700 536__ $$9info:eu-repo/grantAgreement/ES/MINECO/TIN2016-78753-P$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 682080-CHAMELEON$$9info:eu-repo/grantAgreement/EC/H2020/682080/EU/Intuitive editing of visual appearance from real-world datasets/CHAMELEON 000075700 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/ 000075700 590__ $$a4.384$$b2017 000075700 591__ $$aCOMPUTER SCIENCE, SOFTWARE ENGINEERING$$b3 / 104 = 0.029$$c2017$$dQ1$$eT1 000075700 592__ $$a1.344$$b2017 000075700 593__ $$aComputer Graphics and Computer-Aided Design$$c2017$$dQ1 000075700 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion 000075700 700__ $$aKim, I. 000075700 700__ $$0(orcid)0000-0002-7503-7022$$aGutierrez, D.$$uUniversidad de Zaragoza 000075700 700__ $$aKim, M.H. 000075700 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf. 000075700 773__ $$g36, 6 (2017), 217 [12 pp]$$pACM trans. graph.$$tACM TRANSACTIONS ON GRAPHICS$$x0730-0301 000075700 8564_ $$s3364178$$uhttps://zaguan.unizar.es/record/75700/files/texto_completo.pdf$$yPostprint 000075700 8564_ $$s103165$$uhttps://zaguan.unizar.es/record/75700/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint 000075700 909CO $$ooai:zaguan.unizar.es:75700$$particulos$$pdriver 000075700 951__ $$a2019-08-19-09:50:50 000075700 980__ $$aARTICLE