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Volumn 53, Issue 8, 2006, Pages 1797-1804

Higher order autocorrelation vision chip

Author keywords

Counting objects; Higher order local autocorrelation (HLAC); Integrated architecture; Moment features; Target recognition; Vision chip

Indexed keywords

ALGORITHMS; IMAGE PROCESSING; IMAGE QUALITY; MICROPROCESSOR CHIPS;

EID: 33746614357     PISSN: 00189383     EISSN: None     Source Type: Journal    
DOI: 10.1109/TED.2006.878024     Document Type: Article
Times cited : (31)

References (11)
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  • 6
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    • J. Eklund, C. Svensson, and A. Åström, "VLSI implementation of a focal plane image processor - A realization of the near-sensor image processing concept," IEEE Trans. VLSI Syst., vol. 4, no. 3, pp. 322-335, Sep. 1996.
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    • Eklund, J.1    Svensson, C.2    Åström, A.3
  • 7
    • 0037251036 scopus 로고    scopus 로고
    • "A digital vision chip specialized for high-speed target tracking"
    • Jan
    • T. Komuro, I. Ishii, M. Ishikawa, and A. Yoshida, "A digital vision chip specialized for high-speed target tracking," IEEE Trans. Electron Devices, vol. 50, no. 1, pp. 191-199, Jan. 2003.
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    • Komuro, T.1    Ishii, I.2    Ishikawa, M.3    Yoshida, A.4
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    • Otsu, N.1    Kurita, T.2
  • 10
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    • "A face recognition method using higher order local autocorrelation and multivariate analysis"
    • T. Kurita, N. Otsu, and T. Sato, "A face recognition method using higher order local autocorrelation and multivariate analysis," in Proc. Int. Conf. Pattern Recog., 1992, vol. 2, pp. 213-216.
    • (1992) Proc. Int. Conf. Pattern Recog. , vol.2 , pp. 213-216
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  • 11
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    • "N-th autocorrelations in pattern recognition"
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.