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Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/27616
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dc.contributor.authorFeng, Zhen-Huaen_UK
dc.contributor.authorHuber, Patriken_UK
dc.contributor.authorKittler, Josefen_UK
dc.contributor.authorHancock, Peteren_UK
dc.contributor.authorWu, Xiao-Junen_UK
dc.contributor.authorZhao, Qijunen_UK
dc.contributor.authorKoppen, Paulen_UK
dc.contributor.authorRaetsch, Matthiasen_UK
dc.date.accessioned2018-08-15T00:00:56Z-
dc.date.available2018-08-15T00:00:56Z-
dc.date.issued2018-12-31en_UK
dc.identifier.urihttp://hdl.handle.net/1893/27616-
dc.description.abstractThis paper investigates the evaluation of dense 3D face reconstruction from a single 2D image in the wild. To this end, we organise a competition that provides a new benchmark dataset that contains 2000 2D facial images of 135 subjects as well as their 3D ground truth face scans. In contrast to previous competitions or challenges, the aim of this new benchmark dataset is to evaluate the accuracy of a 3D dense face reconstruction algorithm using real, accurate and high-resolution 3D ground truth face scans. In addition to the dataset, we provide a standard protocol as well as a Python script for the evaluation. Last, we report the results obtained by three state-of-the-art 3D face reconstruction systems on the new benchmark dataset. The competition is organised along with the 2018 13th IEEE Conference on Automatic Face & Gesture Recognition.en_UK
dc.language.isoenen_UK
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_UK
dc.relationFeng Z, Huber P, Kittler J, Hancock P, Wu X, Zhao Q, Koppen P & Raetsch M (2018) Evaluation of dense 3D reconstruction from 2D face images in the wild. In: 2018 13th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2018). 13th IEEE International Conference on Automatic Face and Gesture Recognition, 15.05.2018-19.05.2018. Xi'an, China: Institute of Electrical and Electronics Engineers Inc. pp. 780-786. https://doi.org/10.1109/FG.2018.00123en_UK
dc.rights© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_UK
dc.subjectFaceen_UK
dc.subjectThree-dimensional displaysen_UK
dc.subjectTwo dimensional displaysen_UK
dc.subjectImage reconstructionen_UK
dc.subjectBenchmark testingen_UK
dc.subjectProtocolsen_UK
dc.subjectNoseen_UK
dc.titleEvaluation of dense 3D reconstruction from 2D face images in the wilden_UK
dc.typeConference Paperen_UK
dc.identifier.doi10.1109/FG.2018.00123en_UK
dc.citation.spage780en_UK
dc.citation.epage786en_UK
dc.citation.publicationstatusPublisheden_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.contributor.funderEngineering and Physical Sciences Research Councilen_UK
dc.citation.btitle2018 13th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2018)en_UK
dc.citation.conferencedates2018-05-15 - 2018-05-19en_UK
dc.citation.conferencename13th IEEE International Conference on Automatic Face and Gesture Recognitionen_UK
dc.citation.date07/06/2018en_UK
dc.citation.isbn9781538623350en_UK
dc.publisher.addressXi'an, Chinaen_UK
dc.contributor.affiliationUniversity of Surreyen_UK
dc.contributor.affiliationUniversity of Surreyen_UK
dc.contributor.affiliationUniversity of Surreyen_UK
dc.contributor.affiliationPsychologyen_UK
dc.contributor.affiliationJiangnan Universityen_UK
dc.contributor.affiliationSichuan Universityen_UK
dc.contributor.affiliationUniversity of Surreyen_UK
dc.contributor.affiliationReutlingen Universityen_UK
dc.identifier.scopusid2-s2.0-85049408233en_UK
dc.identifier.wtid965539en_UK
dc.contributor.orcid0000-0001-6025-7068en_UK
dc.date.accepted2018-01-15en_UK
dcterms.dateAccepted2018-01-15en_UK
dc.date.filedepositdate2018-08-14en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeConference Paper/Proceeding/Abstracten_UK
rioxxterms.versionAMen_UK
local.rioxx.authorFeng, Zhen-Hua|en_UK
local.rioxx.authorHuber, Patrik|en_UK
local.rioxx.authorKittler, Josef|en_UK
local.rioxx.authorHancock, Peter|0000-0001-6025-7068en_UK
local.rioxx.authorWu, Xiao-Jun|en_UK
local.rioxx.authorZhao, Qijun|en_UK
local.rioxx.authorKoppen, Paul|en_UK
local.rioxx.authorRaetsch, Matthias|en_UK
local.rioxx.projectProject ID unknown|Engineering and Physical Sciences Research Council|http://dx.doi.org/10.13039/501100000266en_UK
local.rioxx.freetoreaddate2018-08-14en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/all-rights-reserved|2018-08-14|en_UK
local.rioxx.filename2018_FG_Evaluation.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source9781538623350en_UK
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