메뉴 건너뛰기




Volumn , Issue , 2012, Pages 2690-2697

Simplified markov random fields for efficient semantic labeling of 3D point clouds

Author keywords

[No Author keywords available]

Indexed keywords

3D POINT CLOUD; CLASSIFICATION RESULTS; EXTRACTING FEATURES; FILTERING METHOD; MARKOV NETWORKS; MARKOV RANDOM FIELDS; OBJECT CATEGORIES; POINT CLOUD; RANDOM FORESTS; SEMANTIC LABELING; SEMANTIC LABELS; STATE-OF-THE-ART METHODS;

EID: 84872308943     PISSN: 21530858     EISSN: 21530866     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2012.6386039     Document Type: Conference Paper
Times cited : (58)

References (22)
  • 4
    • 69849085973 scopus 로고    scopus 로고
    • 3d terrestrial lidar classifications with supervoxels and multi-scale conditional random fields
    • E. H. Lim and D. Suter, "3d terrestrial lidar classifications with supervoxels and multi-scale conditional random fields," Computer-aided Design, vol. 41, pp. 701-710, 2009.
    • (2009) Computer-aided Design , vol.41 , pp. 701-710
    • Lim, E.H.1    Suter, D.2
  • 6
    • 33751221647 scopus 로고    scopus 로고
    • Natural terrain classification using three-dimensional ladar data for ground robot mobility
    • J. F. Lalonde, N. Vandapel, D. Huber, and M. Hebert, "Natural terrain classification using three-dimensional ladar data for ground robot mobility," J. Field Robotics, vol. 23, no. 10, pp. 839-861, 2006.
    • (2006) J. Field Robotics , vol.23 , Issue.10 , pp. 839-861
    • Lalonde, J.F.1    Vandapel, N.2    Huber, D.3    Hebert, M.4
  • 8
    • 78650289513 scopus 로고    scopus 로고
    • 3D laser scan classification using web data and domain adaptation
    • Seattle, USA, June
    • K. Lai and D. Fox, "3D laser scan classification using web data and domain adaptation," in Proceedings of Robotics: Science and Systems, Seattle, USA, June 2009.
    • (2009) Proceedings of Robotics: Science and Systems
    • Lai, K.1    Fox, D.2
  • 12
    • 80053350122 scopus 로고    scopus 로고
    • Onboard contextual classification of 3-d point clouds with learned high-order markov random fields
    • May
    • D. Munoz, N. Vandapel, and M. Hebert, "Onboard contextual classification of 3-d point clouds with learned high-order markov random fields," in Proc. IEEE Int. Conf. Robotics and Automation, May 2009.
    • (2009) Proc. IEEE Int. Conf. Robotics and Automation
    • Munoz, D.1    Vandapel, N.2    Hebert, M.3
  • 13
    • 0032685832 scopus 로고    scopus 로고
    • Using spin images for efficient object recognition in cluttered 3d scenes
    • May
    • A. Johnson and M. Hebert, "Using spin images for efficient object recognition in cluttered 3d scenes," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 21, no. 1, pp. 433 - 449, May 1999.
    • (1999) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.21 , Issue.1 , pp. 433-449
    • Johnson, A.1    Hebert, M.2
  • 18
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • C. J. C. Burges, "A tutorial on support vector machines for pattern recognition," Data Mining and Knowledge Discovery, vol. 2, pp. 121-167, 1998.
    • (1998) Data Mining and Knowledge Discovery , vol.2 , pp. 121-167
    • Burges, C.J.C.1
  • 21
    • 4344598245 scopus 로고    scopus 로고
    • An experimental comparison of mincut/ max-flow algorithms for energy minimization in vision
    • September
    • Y. Boykov and V. Kolmogorov, "An experimental comparison of mincut/ max-flow algorithms for energy minimization in vision," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 26, no. 9, pp. 1124-1137, September 2004.
    • (2004) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.26 , Issue.9 , pp. 1124-1137
    • Boykov, Y.1    Kolmogorov, V.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.