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Volumn , Issue , 2010, Pages

Multidimensional scaling for matching low-resolution facial images

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; EUCLIDEAN SPACES; FACE RECOGNITION PERFORMANCE; FACIAL IMAGES; HIGH RESOLUTION; INPUT IMAGE; LOW RESOLUTION IMAGES; MAJORIZATION; MATCHING PERFORMANCE; MULTI-DIMENSIONAL SCALING; PERFORMANCE COMPARISON; RESOLUTION IMAGES; SUPER RESOLUTION; SURVEILLANCE CAMERAS; TRAINING IMAGE;

EID: 78650374313     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BTAS.2010.5634479     Document Type: Conference Paper
Times cited : (25)

References (23)
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    • Lee, S.W.1    Park, J.2    Lee, S.W.3
  • 13
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    • Advanced correlation filters for face recognition using low-resolution visual and thermal imagery
    • J. Heo, M. Savvides and B.V.K. Vijayakumar, "Advanced Correlation Filters for Face Recognition Using Low-Resolution Visual and Thermal Imagery" in LNCS, Vol. 3656, 2005, pp. 1089-1097.
    • (2005) LNCS , vol.3656 , pp. 1089-1097
    • Heo, J.1    Savvides, M.2    Vijayakumar, B.V.K.3
  • 14
    • 79951484577 scopus 로고    scopus 로고
    • A manifold approach to face recognition from low quality video across illumination and pose using implicit super-resolution
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    • (2007) IEEE International Conference on Computer Vision
    • Arandjelovic, O.1    Cipolla, R.2
  • 15
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    • Multi-modal tensor face for simultaneous super-resolution and recognition
    • DOI 10.1109/ICCV.2005.155, 1544919, Proceedings - 10th IEEE International Conference on Computer Vision, ICCV 2005
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    • Webb, A.R.1
  • 20
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    • Applications of convex analysis to multi-dimensional scaling
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    • De-Leeuw, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.