Recovering facial pose with the EM algorithm
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Choi, K.N. | - |
dc.contributor.author | Carcassoni, M. | - |
dc.contributor.author | Hancock, E.R. | - |
dc.date.accessioned | 2021-07-28T02:40:23Z | - |
dc.date.available | 2021-07-28T02:40:23Z | - |
dc.date.issued | 2002-10 | - |
dc.identifier.issn | 0031-3203 | - |
dc.identifier.issn | 1873-5142 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/47967 | - |
dc.description.abstract | This paper describes how 3D facial pose may be estimated by fitting a template to 2D feature locations. The fitting process is realised as projecting the control points of a 3D template onto the 2D feature locations under orthographic projection. The parameters of the orthographic projection are iteratively estimated using the EM algorithm. The method is evaluated on both contrived data with known ground-truth together with some more naturalistic imagery. These experiment, reveal that under favourable conditions the algorithm can estimate facial pitch to within 3degrees. | - |
dc.format.extent | 21 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | ELSEVIER SCI LTD | - |
dc.title | Recovering facial pose with the EM algorithm | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/S0031-3203(01)00173-X | - |
dc.identifier.bibliographicCitation | PATTERN RECOGNITION, v.35, no.10, pp 2073 - 2093 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000177396500007 | - |
dc.citation.endPage | 2093 | - |
dc.citation.number | 10 | - |
dc.citation.startPage | 2073 | - |
dc.citation.title | PATTERN RECOGNITION | - |
dc.citation.volume | 35 | - |
dc.type.docType | Article | - |
dc.publisher.location | 영국 | - |
dc.subject.keywordAuthor | facial pose estimation | - |
dc.subject.keywordAuthor | facial feature detection | - |
dc.subject.keywordAuthor | EM algorithm | - |
dc.subject.keywordPlus | FEATURE-EXTRACTION | - |
dc.subject.keywordPlus | FACES | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
84, Heukseok-ro, Dongjak-gu, Seoul, Republic of Korea (06974)02-820-6194
COPYRIGHT 2019 Chung-Ang University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.