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Conference Paper: Self-calibrating depth from refraction

TitleSelf-calibrating depth from refraction
Authors
KeywordsDepth map
Input image
Real world data
Self-calibrating
Cameras
Issue Date2011
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000149
Citation
The 2011 IEEE International Conference on Computer Vision (ICCV), Barcelona, Spain, 6-13 November 2011. In Proceedings of IEEE ICCV, 2011, p. 635-642 How to Cite?
AbstractIn this paper, we introduce a novel method for depth acquisition based on refraction of light. A scene is captured twice by a fixed perspective camera, with the first image captured directly by the camera and the second by placing a transparent medium between the scene and the camera. A depth map of the scene is then recovered from the displacements of scene points in the images. Unlike other existing depth from refraction methods, our method does not require the knowledge of the pose and refractive index of the transparent medium, but can recover them directly from the input images. We hence call our method self-calibrating depth from refraction. Experimental results on both synthetic and real-world data are presented, which demonstrate the effectiveness of the proposed method. © 2011 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/137655
ISBN
ISSN

 

DC FieldValueLanguage
dc.contributor.authorChen, Zen_US
dc.contributor.authorWong, KKYen_US
dc.contributor.authorMatsushita, Yen_US
dc.contributor.authorZhu, Xen_US
dc.contributor.authorLiu, Men_US
dc.date.accessioned2011-08-26T14:30:34Z-
dc.date.available2011-08-26T14:30:34Z-
dc.date.issued2011en_US
dc.identifier.citationThe 2011 IEEE International Conference on Computer Vision (ICCV), Barcelona, Spain, 6-13 November 2011. In Proceedings of IEEE ICCV, 2011, p. 635-642en_US
dc.identifier.isbn978-1-4577-1102-2-
dc.identifier.issn1550-5499-
dc.identifier.urihttp://hdl.handle.net/10722/137655-
dc.description.abstractIn this paper, we introduce a novel method for depth acquisition based on refraction of light. A scene is captured twice by a fixed perspective camera, with the first image captured directly by the camera and the second by placing a transparent medium between the scene and the camera. A depth map of the scene is then recovered from the displacements of scene points in the images. Unlike other existing depth from refraction methods, our method does not require the knowledge of the pose and refractive index of the transparent medium, but can recover them directly from the input images. We hence call our method self-calibrating depth from refraction. Experimental results on both synthetic and real-world data are presented, which demonstrate the effectiveness of the proposed method. © 2011 IEEE.-
dc.languageengen_US
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000149-
dc.relation.ispartofIEEE International Conference on Computer Vision Proceedingsen_US
dc.rightsIEEE International Conference on Computer Vision Proceedings. Copyright © IEEE.-
dc.rights©2011 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectDepth map-
dc.subjectInput image-
dc.subjectReal world data-
dc.subjectSelf-calibrating-
dc.subjectCameras-
dc.titleSelf-calibrating depth from refractionen_US
dc.typeConference_Paperen_US
dc.identifier.emailWong, KKY: kykwong@cs.hku.hken_US
dc.identifier.emailZhu, X: zhuxl@hku.hk-
dc.identifier.emailLiu, M: mmliu@cs.hku.hk-
dc.identifier.authorityWong, KKY=rp01393en_US
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/ICCV.2011.6126298-
dc.identifier.scopuseid_2-s2.0-84863036717-
dc.identifier.hkuros191685en_US
dc.identifier.spage635-
dc.identifier.epage642-
dc.publisher.placeUnited States-
dc.description.otherThe 2011 IEEE International Conference on Computer Vision (ICCV), Barcelona, Spain, 6-13 November 2011. In Proceedings of IEEE ICCV, 2011, p. 635-642-

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