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Volumn 19, Issue 9-10, 2001, Pages 585-592

Neural networks for the recognition and pose estimation of 3D objects from a single 2D perspective view

Author keywords

3D object recognition; Appearance based; Neural nets; Pose estimation

Indexed keywords

BACKPROPAGATION; IMAGE ANALYSIS; LEARNING ALGORITHMS; LEARNING SYSTEMS; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; THREE DIMENSIONAL COMPUTER GRAPHICS; VECTORS;

EID: 0035419738     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0262-8856(01)00037-3     Document Type: Article
Times cited : (21)

References (30)
  • 3
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    • Strategies of multi-view and multi-matching for 3d object recognition
    • (1993) CVGIP , vol.57 , Issue.1 , pp. 121-130
    • Chen, S.W.1    Jain, A.K.2
  • 15
    • 0033284915 scopus 로고    scopus 로고
    • Object recognition from local scale-invariant features
    • (1999) ICCV99 , pp. 1150-1157
    • Lowe, D.G.1
  • 17
    • 0029220876 scopus 로고
    • Visual learning and recognition of 3-d objects from appearance
    • (1995) IJCV , vol.14 , Issue.1 , pp. 5-24
    • Murase, H.1    Nayar, S.K.2
  • 20
  • 28
    • 0019027755 scopus 로고
    • An efficient three-dimensional aircraft recognition algorithm using normalized fourier descriptors
    • (1980) CGIP , vol.13 , Issue.1 , pp. 99-126
    • Wallace, T.P.1    Wintz, P.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.