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Volumn II, Issue , 2005, Pages 223-229

Mercer kernels for object recognition with local features

Author keywords

[No Author keywords available]

Indexed keywords

CONSTRAINT THEORY; DATABASE SYSTEMS; FEATURE EXTRACTION; ROBUSTNESS (CONTROL SYSTEMS);

EID: 24644504191     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2005.223     Document Type: Conference Paper
Times cited : (130)

References (23)
  • 8
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • D. Lowe. Distinctive image features from scale-invariant keypoints. Internation Journal on Computer Vision, 60(2):91-110, 2004.
    • (2004) Internation Journal on Computer Vision , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.1
  • 9
    • 24644523620 scopus 로고    scopus 로고
    • Mercer kernels for object recognition with local features
    • Dartmouth College
    • S. Lyu. Mercer kernels for object recognition with local features. Technical Report TR2004-520, Dartmouth College. 2004.
    • (2004) Technical Report , vol.TR2004-520
    • Lyu, S.1
  • 13
    • 0003840341 scopus 로고    scopus 로고
    • Columbia object image library (coil-100)
    • Columbia University
    • S. A. Nene, S. K. Nayar, and H. Murase. Columbia object image library (coil-100). Technical Report CUCS-006-96, Columbia University, 1996.
    • (1996) Technical Report , vol.CUCS-006-96
    • Nene, S.A.1    Nayar, S.K.2    Murase, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.