DC Field | Value | Language |
---|---|---|
dc.contributor.author | 최여름 | ko |
dc.contributor.author | 김형일 | ko |
dc.contributor.author | 노용만 | ko |
dc.date.accessioned | 2016-09-07T01:07:40Z | - |
dc.date.available | 2016-09-07T01:07:40Z | - |
dc.date.created | 2016-08-04 | - |
dc.date.created | 2016-08-04 | - |
dc.date.created | 2016-08-04 | - |
dc.date.created | 2016-08-04 | - |
dc.date.created | 2016-08-04 | - |
dc.date.created | 2016-08-04 | - |
dc.date.issued | 2016-05 | - |
dc.identifier.citation | 멀티미디어학회논문지, v.19, no.5, pp.848 - 855 | - |
dc.identifier.issn | 1229-7771 | - |
dc.identifier.uri | http://hdl.handle.net/10203/212493 | - |
dc.description.abstract | Face recognition has received a great deal of attention for the wide range of applications in real-world scenario. In this scenario, mismatches (so called heterogeneity) in terms of resolution and illumination between gallery and test face images are inevitable due to the different capturing conditions. In order to deal with the mismatch problem, we propose a local feature learning method using deep canonical correlation analysis (DCCA) for heterogeneous face recognition. By the DCCA, we can effectively reduce the mismatch between the gallery and the test face images. Furthermore, the proposed local feature learned by the DCCA is able to enhance the discriminative power by using facial local structure information. Through the experiments on two different scenarios (i.e., matching near-infrared to visible face images and matching low-resolution to high-resolution face images), we could validate the effectiveness of the proposed method in terms of recognition accuracy using publicly available databases. | - |
dc.language | Korean | - |
dc.publisher | 한국멀티미디어학회 | - |
dc.title | 이질적 얼굴인식을 위한 심층 정준상관분석을이용한 지역적 얼굴 특징 학습 방법 | - |
dc.title.alternative | Local Feature Learning using Deep Canonical Correlation Analysis for Heterogeneous Face Recognition | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.citation.volume | 19 | - |
dc.citation.issue | 5 | - |
dc.citation.beginningpage | 848 | - |
dc.citation.endingpage | 855 | - |
dc.citation.publicationname | 멀티미디어학회논문지 | - |
dc.identifier.kciid | ART002113268 | - |
dc.contributor.localauthor | 노용만 | - |
dc.contributor.nonIdAuthor | 최여름 | - |
dc.description.isOpenAccess | N | - |
dc.subject.keywordAuthor | Heterogeneous Face Recognition | - |
dc.subject.keywordAuthor | Deep Learning | - |
dc.subject.keywordAuthor | Deep Canonical Correlation Analysis | - |
dc.subject.keywordAuthor | Local Feature Learning | - |
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