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Local consistency preserved coupled mappings for low-resolution face recognition
Yang Z.1; Wu Y.1; Jiang Y.1; Zhou Y.3; Wang L.2; Li W.1; Liao Q.1
2013-12-01
Conference NameAnnual Summit and Conference of the Asia-Pacific-Signal-and-Information-Processing-Association (APSIPA)
Source Publication2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013
Conference DateOCT 29-NOV 01, 2013
Conference PlaceKaohsiung, TAIWAN
Abstract

Existing face recognition systems can achieve high recognition rates in the well-controlled environment. However, when the resolution of the test images is lower than that of the gallery images, the performance degrades seriously. Traditional two-step solutions (first adopting super-resolution (SR) method, and then performing the recognition phase) mainly focus on visual enhancement, rather than classification. In this paper, we utilize Local Consistency Preserved Coupled Mappings (LCPCM-I) to project the face images with different resolutions onto a new common space for recognition based on coupled mappings (CM). To achieve better results, we incorporate discriminant information with LCPCM (LCPCM-II). The experimental results on FERET database verify the effectiveness of our proposed method. © 2013 APSIPA.

KeywordFace Recognition Local Consistency Preserved Couple Mapping Low-resolution Superresolution
DOIhttp;//doi.org/10.1109/APSIPA.2013.6694200
URLView the original
Indexed BySCI
Language英语
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000331094400097
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Document TypeConference paper
CollectionFaculty of Science and Technology
DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Shenzhen Engineering Lab. of IS and DRM
2.Nagaoka University of Technology
3.Universidade de Macau
4.Tsinghua University
Recommended Citation
GB/T 7714
Yang Z.,Wu Y.,Jiang Y.,et al. Local consistency preserved coupled mappings for low-resolution face recognition[C],2013.
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