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Volumn 2486 LNCS, Issue , 2002, Pages 132-139

A two stage neural architecture for segmentation and superquadrics recovery from range data

Author keywords

Range data segmentation; SOM

Indexed keywords

FEEDFORWARD NEURAL NETWORKS; NETWORK ARCHITECTURE; MULTILAYER NEURAL NETWORKS;

EID: 23044534965     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45808-5_14     Document Type: Conference Paper
Times cited : (2)

References (10)
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  • 3
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  • 6
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    • Møller, M.: A scaled conjugate gradient algorithm for fast supervised learning. Neural Networks, 6(4):525-533, 1993. 135 (Pubitemid 23668805)
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    • Møller, M.1
  • 7
    • 0003937658 scopus 로고
    • MIT Press, Cambridge, MA, 135
    • Paul, R.: Robot Manipulators. MIT Press, Cambridge, MA, 1981. 135
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    • Paul, R.1
  • 8
    • 0035683109 scopus 로고    scopus 로고
    • Part-based segmentation and modeling of range data by moving target
    • Pirrone, R.: Part based Segmentation and Modeling of Range Data by Moving Target. Journal of Intelligent Systems, 11(4):217-247, 2001. 132 (Pubitemid 34061647)
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    • Pirrone, R.1
  • 9
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    • Recovery of parametric models from range images: The case for superquadrics with global deformations
    • DOI 10.1109/34.44401
    • Solina, F. and Bajcsy, R.: Recovery of parametric models from range images: The case for superquadrics with global deformations. IEEE Trans. on Pattern Analysis and Machine Intelligence, 12(2):131-147, 1990. 132, 137 (Pubitemid 20666139)
    • (1990) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.12 , Issue.2 , pp. 131-147
    • Solina Franc1    Bajcsy Ruzena2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.