DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hyung-Soo Lee | - |
dc.contributor.author | Kim, D | - |
dc.date.accessioned | 2016-04-01T01:57:44Z | - |
dc.date.available | 2016-04-01T01:57:44Z | - |
dc.date.created | 2009-08-19 | - |
dc.date.issued | 2006-05 | - |
dc.identifier.issn | 0167-8655 | - |
dc.identifier.other | 2006-OAK-0000005835 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/24099 | - |
dc.description.abstract | Recognizing human faces is one of the most important areas of research in biometrics. However, drastic change of facial poses is a big challenge for its practical application. This paper proposes generating frontal view face image using linear transformation in feature space for face recognition. We extract features from a posed face image using the kernel PCA. Then, we transform the posed face image into its corresponding frontal face image using the transformation matrix predetermined by learning. Then, the generated frontal face image is identified by three different discrimination methods such as LDA, NDA, or GDA. Experimental results show that the recognition rate with the pose transformation outperforms that without pose transformation greatly. (c) 2005 Elsevier B.V. All rights reserved. | - |
dc.description.statementofresponsibility | X | - |
dc.language | English | - |
dc.publisher | ELSEVIER SCIENCE BV | - |
dc.relation.isPartOf | PATTERN RECOGNITION LETTERS | - |
dc.subject | PCA | - |
dc.subject | kernel PCA | - |
dc.subject | pose transformation | - |
dc.subject | discriminant analysis | - |
dc.subject | pose invariant face recognition | - |
dc.subject | DISCRIMINANT-ANALYSIS | - |
dc.subject | SHAPE | - |
dc.title | Generating frontal view face image for pose invariant face recognition | - |
dc.type | Article | - |
dc.contributor.college | 컴퓨터공학과 | - |
dc.identifier.doi | 10.1016/j.patrec.2005.11.003 | - |
dc.author.google | Lee, HS | - |
dc.author.google | Kim, D | - |
dc.relation.volume | 27 | - |
dc.relation.issue | 7 | - |
dc.relation.startpage | 747 | - |
dc.relation.lastpage | 754 | - |
dc.contributor.id | 10054411 | - |
dc.relation.journal | PATTERN RECOGNITION LETTERS | - |
dc.relation.index | SCI급, SCOPUS 등재논문 | - |
dc.relation.sci | SCIE | - |
dc.collections.name | Journal Papers | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | PATTERN RECOGNITION LETTERS, v.27, no.7, pp.747 - 754 | - |
dc.identifier.wosid | 000236631000006 | - |
dc.date.tcdate | 2019-01-01 | - |
dc.citation.endPage | 754 | - |
dc.citation.number | 7 | - |
dc.citation.startPage | 747 | - |
dc.citation.title | PATTERN RECOGNITION LETTERS | - |
dc.citation.volume | 27 | - |
dc.contributor.affiliatedAuthor | Kim, D | - |
dc.identifier.scopusid | 2-s2.0-33644863030 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 31 | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | PCA | - |
dc.subject.keywordAuthor | kernel PCA | - |
dc.subject.keywordAuthor | pose transformation | - |
dc.subject.keywordAuthor | discriminant analysis | - |
dc.subject.keywordAuthor | pose invariant face recognition | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
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