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Volumn 1, Issue , 2012, Pages 341-345

An alternative to scale-space representation for extracting local features in image recognition

Author keywords

Image features; Image recognition; Image retrieval; Local descriptors; Triangular representation

Indexed keywords

DATA SETS; DESCRIPTORS; DIFFERENT SCALE; GREY SCALE IMAGES; IMAGE FEATURES; INTEREST REGIONS; LOCAL DESCRIPTORS; LOCAL FEATURE; NUMBER OF TRIANGLES; SCALE-SPACE; SCALE-SPACE REPRESENTATION; TRIANGULAR REPRESENTATION;

EID: 84862134123     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (1)

References (13)
  • 5
    • 20744459004 scopus 로고    scopus 로고
    • Global localization and relative positioning based on scale-invariant keypoints
    • Koeck, J., Li, F., and Yang, X. (2005). Global localization and relative positioning based on scale-invariant keypoints. Robotics and Autonomous Systems, 52(1):27-38.
    • (2005) Robotics and Autonomous Systems , vol.52 , Issue.1 , pp. 27-38
    • Koeck, J.1    Li, F.2    Yang, X.3
  • 6
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scaleinvariant keypoints
    • Lowe, D. (2004). Distinctive image features from scaleinvariant keypoints. International Journal of Computer Vision, 60(2):91-110.
    • (2004) International Journal of Computer Vision , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.1
  • 9
    • 84862152233 scopus 로고    scopus 로고
    • A new approach for detecting local features
    • Institute for Systems and Technologies of Information, Control and Communication
    • Nguyen, G. P. and Andersen, H. J. (2010). A new approach for detecting local features. In International Conference on Computer Vision Theory and Applications, pages 1-6. Institute for Systems and Technologies of Information, Control and Communication.
    • (2010) International Conference on Computer Vision Theory and Applications , pp. 1-6
    • Nguyen, G.P.1    Andersen, H.J.2
  • 13
    • 59349094120 scopus 로고    scopus 로고
    • Object tracking using sift features and mean shift
    • Zhou, H., Yuan, Y., and Shi, C. (2009). Object tracking using sift features and mean shift. Computer Vision and Image Understanding, 113(3):345-352.
    • (2009) Computer Vision and Image Understanding , vol.113 , Issue.3 , pp. 345-352
    • Zhou, H.1    Yuan, Y.2    Shi, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.