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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
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

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
URLView the original
Indexed BySCI
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000331094400097
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Document TypeConference paper
CollectionFaculty of Science and Technology
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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