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Volumn 3, Issue 4, 2009, Pages 927-932

Combining scale invariant feature transform with principal componentanalysis in face recognition

Author keywords

Facerecognition; Principal component analysis; Scale invariant feature transform

Indexed keywords

COMPUTATION EFFICIENCY; FEATURE SPACE; FEATURE VECTORS; GLOBAL INFORMATIONS; IMAGE SCALING; K-MEANS ALGORITHM; LOCAL DESCRIPTORS; SCALE INVARIANT FEATURE TRANSFORM; SCALE INVARIANT FEATURE TRANSFORMS;

EID: 77953902845     PISSN: 1881803X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (14)

References (14)
  • 3
    • 63849087250 scopus 로고    scopus 로고
    • Extraction of attractiveness map of images based on principal componentanalysis for images taken by plural cameras
    • M. Hone, S. Nakajima and T. Toriu, Extraction of attractiveness map ofimages based on principal component analysis for images taken by plural cameras,Int. Journal of Innovative Computing, Information and Control, vol.5, no.3,pp.725-734, 2009.
    • (2009) Int. Journal of Innovative Computing, Information and Control , vol.5 , Issue.3 , pp. 725-734
    • Hone, M.1    Nakajima, S.2    Toriu, T.3
  • 5
    • 0036647193 scopus 로고    scopus 로고
    • Multiresolution gray-scale and rotation invariant texture classificationwith local binary patterns
    • T. Ojala, M. Pietikainen and T. Maenpaa, Multiresolution gray-scale androtation invariant texture classification with local binary patterns, IEEETrans. Pattern Analysis and Machine Intelligence, vol.24, no.7, pp.971-987,2002.
    • (2002) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.24 , Issue.7 , pp. 971-987
    • Ojala, T.1    Pietikainen, M.2    Maenpaa, T.3
  • 6
    • 3042535216 scopus 로고    scopus 로고
    • Distince image features from scale-invariant keypoints
    • D. Lowe, Distince image features from scale-invariant keypoints, Int.Journal of Computer Vision, vol.60, no.2, pp.91-110, 2004.
    • (2004) Int. Journal of Computer Vision , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.