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Volumn , Issue , 2010, Pages 422-429

Affine Stable Characteristic based sample expansion for object detection

Author keywords

Affine Stable Characteristic; Object detection; Sample expansion

Indexed keywords

CONTENT ANALYSIS; DATA SETS; DETECTING OBJECTS; DETECTION ACCURACY; EXISTING METHOD; FEATURE MODELS; GLOBAL STABILITY; HIGH ROBUSTNESS; LOCAL STABILITY; NOVEL METHODS; OBJECT DETECTION; OBJECT MODEL; PHOTOMETRIC TRANSFORMATION; REDUNDANT FEATURES; SAMPLE EXPANSION; SCALE TRANSFORMATION; STABLE CHARACTERISTICS; TEST SETS;

EID: 77955866402     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1816041.1816103     Document Type: Conference Paper
Times cited : (6)

References (23)
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    • Wu, W.1    Yang, J.2
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    • J.M. Morel and G. Yu, ASIFT: A new framework for fully affine invariant image comparison, SIAM Journal on Imaging Sciences, 2(2), 2009.
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    • D. Lowe. Distinctive image features from scale invariant keypoints, In International Journal on Computer Vision, 60(2): 91-110, 2004.
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    • S. Arya, T. Malamatos, and D. M. Mount. Space-time tradeoffs for approximate nearest neighbor searching, Journal of the ACM, 57: 1-54, 2009.
    • (2009) Journal of the ACM , vol.57 , pp. 1-54
    • Arya, S.1    Malamatos, T.2    Mount, D.M.3
  • 21
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    • Logo detection based on spatial-spectral saliency and partial spatial context
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    • Gao, K.1
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.