DC Field | Value | Language |
---|---|---|
dc.contributor.author | Dongsoo Shin | - |
dc.contributor.author | Hyung-Soo Lee | - |
dc.contributor.author | Kim, D | - |
dc.date.accessioned | 2017-07-19T11:34:52Z | - |
dc.date.available | 2017-07-19T11:34:52Z | - |
dc.date.created | 2009-08-19 | - |
dc.date.issued | 2008-01-01 | - |
dc.identifier.issn | 0167-8655 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/35167 | - |
dc.description.abstract | The performance of face recognition is greatly affected by illumination changes because intra-person variation of the captured images under different lighting conditions can be much bigger than the inter-person variation. This paper proposes an illumination-robust face recognition by separating an identity factor and an illumination factor using symmetric bilinear models. The translation procedure in the bilinear model requires a repetitive computation of matrix inverse operations to reach the identity and illumination factors. This computation may result in a non-convergent case when the observation has noisy information or the model is overfitted. To alleviate this situation, we suggest a ridge regressive bilinear model that combines the ridge regression into the bilinear model. This provides a number of advantages: it stabilizes the bilinear model by shrinking the range of identity and illumination factors appropriately and improves the recognition performance. Experimental results show that the ridge regressive bilinear model significantly outperforms other existing methods such as the eigenface, quotient image, and the bilinear model in terms of the recognition rate under a variety of illuminations. (C) 2007 Elsevier B.V. All rights reserved. | - |
dc.language | English | - |
dc.publisher | ELSEVIER SCIENCE BV | - |
dc.relation.isPartOf | PATTERN RECOGNITION LETTERS | - |
dc.title | Illumination-robust face recognition using ridge regressive bilinear models | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/j.patrec.2007.08.013 | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | PATTERN RECOGNITION LETTERS, v.29, no.1, pp.49 - 58 | - |
dc.identifier.wosid | 000251440800006 | - |
dc.date.tcdate | 2019-03-01 | - |
dc.citation.endPage | 58 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 49 | - |
dc.citation.title | PATTERN RECOGNITION LETTERS | - |
dc.citation.volume | 29 | - |
dc.contributor.affiliatedAuthor | Kim, D | - |
dc.identifier.scopusid | 2-s2.0-35648966478 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 18 | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | illumination-robust face recognition | - |
dc.subject.keywordAuthor | bilinear model | - |
dc.subject.keywordAuthor | ridge regression | - |
dc.subject.keywordAuthor | ridge regressive bilinear model | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
library@postech.ac.kr Tel: 054-279-2548
Copyrights © by 2017 Pohang University of Science ad Technology All right reserved.