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Volumn 1, Issue , 1996, Pages 601-606

Hierarchical, modular architectures for object recognition by parts

Author keywords

[No Author keywords available]

Indexed keywords

PROBABILITY DENSITY FUNCTION;

EID: 0007956343     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.1996.546096     Document Type: Conference Paper
Times cited : (7)

References (12)
  • 1
    • 0027555909 scopus 로고
    • Model-based object recognition in dense depth images - A review
    • F. Arman and J. K. Aggarwal. Model-based object recognition in dense depth images - a review. ACM Computing Surveys. 25(1):5-43, 1993.
    • (1993) ACM Computing Surveys. , vol.25 , Issue.1 , pp. 5-43
    • Arman, F.1    Aggarwal, J.K.2
  • 2
    • 0022757287 scopus 로고
    • Automatic target recognition: State of the art survey
    • B. Bhanu. Automatic target recognition: State of the art survey. IEEE Transactions on Aerospace and Electronic Systems, AES-22(4):364-379, 1986.
    • (1986) IEEE Transactions on Aerospace and Electronic Systems , vol.AES-22 , Issue.4 , pp. 364-379
    • Bhanu, B.1
  • 5
    • 0024133819 scopus 로고
    • Large hierarchical object recognition using libraries of parameterized model sub-parts
    • G. J. Ettinger. Large hierarchical object recognition using libraries of parameterized model sub-parts. In IEEE Conference on Computer Vision and Pattern Recognition, pages 32-41. 1988.
    • (1988) IEEE Conference on Computer Vision and Pattern Recognition , pp. 32-41
    • Ettinger, G.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.