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dc.contributor.authorHiura, Shinsaku
dc.contributor.authorMohan, Ankit
dc.contributor.authorRaskar, Ramesh
dc.date.accessioned2010-10-15T15:46:20Z
dc.date.available2010-10-15T15:46:20Z
dc.date.issued2010-05
dc.date.submitted2009-09
dc.identifier.isbn978-1-4244-4442-7
dc.identifier.otherINSPEC Accession Number: 11284283
dc.identifier.urihttp://hdl.handle.net/1721.1/59375
dc.description.abstractWe propose a novel wide angle imaging system inspired by compound eyes of animals. Instead of using a single lens, well compensated for aberration, we used a number of simple lenses to form a compound eye which produces practically distortion-free, uniform images with angular variation. The images formed by the multiple lenses are superposed on a single surface for increased light efficiency. We use GRIN (gradient refractive index) lenses to create sharply focused images without the artifacts seen when using reflection based methods for X-ray astronomy. We show the theoretical constraints for forming a blur-free image on the image sensor, and derive a continuum between 1 : 1 flat optics for document scanners and curved sensors focused at infinity. Finally, we show a practical application of the proposed optics in a beacon to measure the relative rotation angle between the light source and the camera with ID information.en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/ICCVW.2009.5457553en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceIEEEen_US
dc.titleKrill-eye : Superposition Compound Eye for Wide-Angle Imaging via GRIN Lensesen_US
dc.typeArticleen_US
dc.identifier.citationHiura, S., A. Mohan, and R. Raskar. “Krill-eye : Superposition compound eye for wide-angle imaging via GRIN lenses.” Computer Vision Workshops (ICCV Workshops), 2009 IEEE 12th International Conference on. 2009. 2204-2211. © Copyright 2009 IEEEen_US
dc.contributor.departmentMassachusetts Institute of Technology. Media Laboratoryen_US
dc.contributor.departmentProgram in Media Arts and Sciences (Massachusetts Institute of Technology)en_US
dc.contributor.approverRaskar, Ramesh
dc.contributor.mitauthorHiura, Shinsaku
dc.contributor.mitauthorMohan, Ankit
dc.contributor.mitauthorRaskar, Ramesh
dc.relation.journal2009 IEEE 12th International Conference on Computer Vision Workshops (ICCV Workshops)en_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsHiura, Shinsaku; Mohan, Ankit; Raskar, Rameshen
dc.identifier.orcidhttps://orcid.org/0000-0002-3254-3224
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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