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Volumn , Issue , 2013, Pages 474-481

GPU-ASIFT: A fast fully affine-invariant feature extraction algorithm

Author keywords

Computer Vision; GPU; High performance computing

Indexed keywords

FEATURE EXTRACTION ALGORITHMS; GPU; GPU CLUSTERS; GRAPHICS HARDWARE; HIGH PERFORMANCE COMPUTING; IMAGE FEATURES; MATCHING PERFORMANCE; MULTI-GPU;

EID: 84888022070     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HPCSim.2013.6641456     Document Type: Conference Paper
Times cited : (27)

References (26)
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  • 7
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    • ASIFT: A new framework for fully affine invariant image comparison
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    • J.Morel and G.Yu, "Is SIFT scale invariant?" Inverse Problems Imaging, vol.5, pp.115-136, 2011.
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    • Morel, J.1    Yu, G.2
  • 14
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    • Feature tracking and matching in video using programmable graphics hardware
    • S.Sinha, J.Frahm, M.Pollefeys, and Y.Genc, "Feature tracking and matching in video using programmable graphics hardware," Machine Vision and Applications, vol.22, no.1, pp.207-217, 2011.
    • (2011) Machine Vision and Applications , vol.22 , Issue.1 , pp. 207-217
    • Sinha, S.1    Frahm, J.2    Pollefeys, M.3    Genc, Y.4
  • 19
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.