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Volumn 46, Issue 2, 1999, Pages 429-439

An efficient indexing scheme for image storage and recognition

Author keywords

Data base; Heuristic search; Pattern recognition; Segmentation; Vision

Indexed keywords

COMPUTER SIMULATION; COMPUTER VISION; DATABASE SYSTEMS; DIGITAL IMAGE STORAGE; EDGE DETECTION; FEATURE EXTRACTION; IMAGE SEGMENTATION;

EID: 0032648778     PISSN: 02780046     EISSN: None     Source Type: Journal    
DOI: 10.1109/41.753782     Document Type: Article
Times cited : (4)

References (13)
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  • 2
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    • On the verification of hypothesized matches in model-based recognition
    • vol. 13, pp. 1201-1213, Dec. 1991.
    • W. E. L. Grimson and D. P. Huttenlocher, "On the verification of hypothesized matches in model-based recognition," IEEE Trans. Pattern Anal. Mach. Intell., vol. 13, pp. 1201-1213, Dec. 1991.
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    • Grimson, W.E.L.1    Huttenlocher, D.P.2
  • 7
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    • N. Ayache and O. D. Faugeras, "HYPER: A new approach for recognition and positioning of two dimensional objects," IEEE Trans. Pattern Anal. Mach. Intell, vol. PAMI-8, pp. 44-54, Jan. 1986.
    • IEEE Trans. Pattern Anal. Mach. Intell
    • Ayache, N.1    Faugeras, O.D.2
  • 8
    • 0020177182 scopus 로고    scopus 로고
    • Recognizing and locating partially visible objects: The local-features-focus method
    • vol. 1, no. 3, pp. 57-82, 1982.
    • X. Bolles and R. A. Cain, "Recognizing and locating partially visible objects: The local-features-focus method," Int. J. Robot. Res., vol. 1, no. 3, pp. 57-82, 1982.
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    • Bolles, X.1    Cain, R.A.2
  • 10
    • 0026221780 scopus 로고    scopus 로고
    • The combinatorics of heuristic search termination for object recognition in cluttered environments
    • vol. 13, pp. 920-935, Sept. 1991.
    • W. E. L. Crimson, "The combinatorics of heuristic search termination for object recognition in cluttered environments," IEEE Trans. Pattern Anal. Mach. Intell., vol. 13, pp. 920-935, Sept. 1991.
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    • Structural indexing: Efficient 2-D object recognition
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  • 13
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    • Recognizing of partially occluded objects
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.