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Conference Paper: Reconstruction of display and eyes from a single image

TitleReconstruction of display and eyes from a single image
Authors
Schnieders, DFu, XWong, KYK
Keywords3d positions
Display reflection
Human eye
Imperfect data
Noise performance
Issue Date2010
PublisherIEEE Computer Society. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000147
Citation
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2010), San Francisco, CA., 13-18 June 2010. In Proceedings of CVPR, 2010, p. 1442-1449 How to Cite?
DOI: http://dx.doi.org/10.1109/CVPR.2010.5539799
AbstractThis paper introduces a novel method for reconstructing human eyes and visual display from reflections on the cornea. This problem is difficult because the camera is not directly facing the display, but instead captures the eyes of a person in front of the display. Reconstruction of eyes and display is useful for point-of-gaze estimation, which can be approximated from the 3D positions of the iris and display. It is shown that iris boundaries (limbus) and display reflections in a single intrinsically calibrated image provide enough information for such an estimation. The proposed method assumes a simplified geometric eyeball model with certain anatomical constants which are used to reconstruct the eye. A noise performance analysis shows the sensitivity of the proposed method to imperfect data. Experiments on various subjects show that it is possible to determine the approximate area of gaze on a display from a single image. ©2010 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/129554
ISSN
1063-6919
2023 SCImago Journal Rankings: 10.331
ISI Accession Number ID
WOS:000287417501062
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorSchnieders, Den_HK
dc.contributor.authorFu, Xen_HK
dc.contributor.authorWong, KYKen_HK
dc.date.accessioned2010-12-23T08:39:14Z-
dc.date.available2010-12-23T08:39:14Z-
dc.date.issued2010en_HK
dc.identifier.citationThe IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2010), San Francisco, CA., 13-18 June 2010. In Proceedings of CVPR, 2010, p. 1442-1449en_HK
dc.identifier.issn1063-6919en_HK
dc.identifier.urihttp://hdl.handle.net/10722/129554-
dc.description.abstractThis paper introduces a novel method for reconstructing human eyes and visual display from reflections on the cornea. This problem is difficult because the camera is not directly facing the display, but instead captures the eyes of a person in front of the display. Reconstruction of eyes and display is useful for point-of-gaze estimation, which can be approximated from the 3D positions of the iris and display. It is shown that iris boundaries (limbus) and display reflections in a single intrinsically calibrated image provide enough information for such an estimation. The proposed method assumes a simplified geometric eyeball model with certain anatomical constants which are used to reconstruct the eye. A noise performance analysis shows the sensitivity of the proposed method to imperfect data. Experiments on various subjects show that it is possible to determine the approximate area of gaze on a display from a single image. ©2010 IEEE.en_HK
dc.languageengen_US
dc.publisherIEEE Computer Society. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000147-
dc.relation.ispartofProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010en_HK
dc.rights©2010 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.subject3d positions-
dc.subjectDisplay reflection-
dc.subjectHuman eye-
dc.subjectImperfect data-
dc.subjectNoise performance-
dc.titleReconstruction of display and eyes from a single imageen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1063-6919&volume=&spage=1442&epage=1449&date=2010&atitle=Reconstruction+of+display+and+eyes+from+a+single+image-
dc.identifier.emailWong, KYK:kykwong@cs.hku.hken_HK
dc.identifier.authorityWong, KYK=rp01393en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/CVPR.2010.5539799en_HK
dc.identifier.scopuseid_2-s2.0-77955997123en_HK
dc.identifier.hkuros176664en_US
dc.identifier.hkuros201907-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-77955997123&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage1442en_HK
dc.identifier.epage1449en_HK
dc.identifier.isiWOS:000287417501062-
dc.publisher.placeUnited Statesen_HK
dc.description.otherThe IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2010), San Francisco, CA., 13-18 June 2010. In Proceedings of CVPR, 2010, p. 1442-1449-
dc.identifier.scopusauthoridSchnieders, D=25655251600en_HK
dc.identifier.scopusauthoridFu, X=36444991400en_HK
dc.identifier.scopusauthoridWong, KYK=24402187900en_HK
dc.identifier.issnl1063-6919-

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