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Volumn , Issue , 2007, Pages 79-89

Semi-autonomous generation of appearance-based edge models from image sequences

Author keywords

[No Author keywords available]

Indexed keywords

3D MODELING; AUGMENTED REALITY; COMPUTER AIDED DESIGN; IMAGE ENHANCEMENT; OBJECT TRACKING;

EID: 50649097920     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISMAR.2007.4538830     Document Type: Conference Paper
Times cited : (14)

References (20)
  • 2
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    • J. Canny. A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell., 8(6), Nov. 1986.
    • (1986) IEEE Trans. Pattern Anal. Mach. Intell , vol.8 , Issue.6
    • Canny, J.1
  • 4
    • 84898035129 scopus 로고    scopus 로고
    • Edge landmarks in monocular slam
    • Edinburgh, September
    • E. Eade and T. Drummond. Edge landmarks in monocular slam. In British Machine Vision Conf., volume 1, pages 7-16, Edinburgh, September 2006.
    • (2006) British Machine Vision Conf , vol.1 , pp. 7-16
    • Eade, E.1    Drummond, T.2
  • 6
    • 35048874355 scopus 로고    scopus 로고
    • A geometrical key-frame selection method exploiting dominant motion estimation in video
    • Int. Conf. on Image and Video Retrieval, of, Dublin, Eire, July
    • B. Fauvet, P. Bouthemy, P. Gros, and F. Spindler. A geometrical key-frame selection method exploiting dominant motion estimation in video. In Int. Conf. on Image and Video Retrieval, volume 3115 of Lecture Notes in Computer Science, pages 419-427, Dublin, Eire, July 2004.
    • (2004) Lecture Notes in Computer Science , vol.3115 , pp. 419-427
    • Fauvet, B.1    Bouthemy, P.2    Gros, P.3    Spindler, F.4
  • 7
    • 0011223321 scopus 로고
    • Random sample consensus: A paradigm for model fitting applications to image analysis and automated cartography
    • M. Fischler and R. Bolles. Random sample consensus: A paradigm for model fitting applications to image analysis and automated cartography. In Proceedings of the Image Understanding Workshop, pages 71-88, 1980.
    • (1980) Proceedings of the Image Understanding Workshop , pp. 71-88
    • Fischler, M.1    Bolles, R.2
  • 12
    • 84898022722 scopus 로고    scopus 로고
    • Full-3d edge tracking with a particle filter
    • Edinburgh, September, BMVA
    • G. Klein and D. Murray. Full-3d edge tracking with a particle filter. In British Machine Vision Conf., Edinburgh, September 2006. BMVA.
    • (2006) British Machine Vision Conf
    • Klein, G.1    Murray, D.2
  • 13
    • 84880834761 scopus 로고    scopus 로고
    • FastSLAM 2.0: An improved particle filtering algorithm for simultaneous localization and mapping
    • Acapulco, Mexico, August
    • M. Montemerlo, S. Thrun, D. Koller, and B. Wegbreit. FastSLAM 2.0: An improved particle filtering algorithm for simultaneous localization and mapping. In Inter Joint Conf. on Artificial Intelligence, Acapulco, Mexico, August 2003.
    • (2003) Inter Joint Conf. on Artificial Intelligence
    • Montemerlo, M.1    Thrun, S.2    Koller, D.3    Wegbreit, B.4
  • 15
    • 33745868550 scopus 로고    scopus 로고
    • Fusing points and lines for high performance tracking
    • Washington, DC, USA, IEEE
    • E. Rosten and T. Drummond. Fusing points and lines for high performance tracking. In Intr. Conf. on Computer Vision, pages 1508-1515, Washington, DC, USA, 2005. IEEE.
    • (2005) Intr. Conf. on Computer Vision , pp. 1508-1515
    • Rosten, E.1    Drummond, T.2
  • 17
    • 35048880583 scopus 로고    scopus 로고
    • Keyframe selection for camera motion and structure estimation from multiple views
    • may
    • T. Thormahlen, H. Broszio, and A. Weissenfeld. Keyframe selection for camera motion and structure estimation from multiple views. In Proc. of the European Conf. on Computer Vision, volume 127, pages 523-535, may 2004.
    • (2004) Proc. of the European Conf. on Computer Vision , vol.127 , pp. 523-535
    • Thormahlen, T.1    Broszio, H.2    Weissenfeld, A.3
  • 18
    • 18844436798 scopus 로고    scopus 로고
    • Combining edge and texture information for real-time accurate 3D camera tracking
    • Washington, DC, USA, IEEE
    • L. Vacchetti, V. Lepetit, and P. Fua. Combining edge and texture information for real-time accurate 3D camera tracking. In IEEE Proc. of the Intr Symp. on Mixed and Augmented Reality, pages 48-57, Washington, DC, USA, 2004. IEEE.
    • (2004) IEEE Proc. of the Intr Symp. on Mixed and Augmented Reality , pp. 48-57
    • Vacchetti, L.1    Lepetit, V.2    Fua, P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.