DC Field | Value | Language |
---|---|---|
dc.contributor.author | Choi, HC | - |
dc.contributor.author | Oh, SY | - |
dc.date.accessioned | 2016-04-01T02:25:55Z | - |
dc.date.available | 2016-04-01T02:25:55Z | - |
dc.date.created | 2011-02-18 | - |
dc.date.issued | 2011-01 | - |
dc.identifier.issn | 0169-1864 | - |
dc.identifier.other | 2011-OAK-0000022742 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/25118 | - |
dc.description.abstract | We propose a real-time pose-invariant face recognition algorithm from a gallery of frontal images only. (i) We modified the second-order minimization method for the active appearance model (AAM). This allows the AAM to have the ability of correct convergence with little loss of frame rate. (ii) We proposed a pose transforming matrix that can eliminate warping artifacts of the warped face image from AAM fitting. This makes it possible to train a neural network as the face recognizer with one frontal face image of each person in the gallery set. (iii) We propose a simple method for pose recognition by using neural networks to select the proper pose transforming matrix. The proposed algorithm was evaluated on a set of 2000 facial images of 10 people (200 images for each person obtained at various poses), achieving a great improvement in recognition. (C) Koninklijke Brill NV, Leiden and The Robotics Society of Japan, 2011 | - |
dc.description.statementofresponsibility | X | - |
dc.language | English | - |
dc.publisher | VSP BV | - |
dc.relation.isPartOf | ADVANCED ROBOTICS | - |
dc.subject | Pose-invariant face recognition | - |
dc.subject | active appearance model | - |
dc.subject | efficient second-order minimization | - |
dc.subject | pose transforming matrix | - |
dc.subject | neural network | - |
dc.title | REAL-TIME POSE-INVARIANT FACE RECOGNITION USING THE EFFICIENT SECOND-ORDER MINIMIZATION AND THE POSE TRANSFORMING MATRIX | - |
dc.type | Article | - |
dc.contributor.college | 전자전기공학과 | - |
dc.identifier.doi | 10.1163/016918610X538534 | - |
dc.author.google | Choi, HC | - |
dc.author.google | Oh, SY | - |
dc.relation.volume | 25 | - |
dc.relation.issue | 1 | - |
dc.relation.startpage | 153 | - |
dc.relation.lastpage | 174 | - |
dc.contributor.id | 10071831 | - |
dc.relation.journal | ADVANCED ROBOTICS | - |
dc.relation.index | SCI급, SCOPUS 등재논문 | - |
dc.relation.sci | SCIE | - |
dc.collections.name | Journal Papers | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | ADVANCED ROBOTICS, v.25, no.1, pp.153 - 174 | - |
dc.identifier.wosid | 000286011700008 | - |
dc.date.tcdate | 2019-02-01 | - |
dc.citation.endPage | 174 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 153 | - |
dc.citation.title | ADVANCED ROBOTICS | - |
dc.citation.volume | 25 | - |
dc.contributor.affiliatedAuthor | Oh, SY | - |
dc.identifier.scopusid | 2-s2.0-78650157399 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 1 | - |
dc.description.scptc | 1 | * |
dc.date.scptcdate | 2018-05-121 | * |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | Pose-invariant face recognition | - |
dc.subject.keywordAuthor | active appearance model | - |
dc.subject.keywordAuthor | efficient second-order minimization | - |
dc.subject.keywordAuthor | pose transforming matrix | - |
dc.subject.keywordAuthor | neural network | - |
dc.relation.journalWebOfScienceCategory | Robotics | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Robotics | - |
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