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Volumn , Issue , 2013, Pages 2067-2074

Mesh based semantic modelling for indoor and outdoor scenes

Author keywords

3d scene understanding

Indexed keywords

3D SCENES; AUTONOMOUS ROBOTICS; GEOMETRIC PROPERTIES; IMAGE DOMAIN; INFERENCE STAGES; MULTIPLE SOURCE; OUTDOOR SCENES; SEMANTIC MODELLING;

EID: 84887340711     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2013.269     Document Type: Conference Paper
Times cited : (108)

References (31)
  • 1
    • 34047223252 scopus 로고    scopus 로고
    • Simultaneous localization and mapping (slam): Part ii
    • 1
    • T. Bailey and H. Durrant-Whyte. Simultaneous localization and mapping (slam): Part ii. Robotics & Automation Magazine, IEEE, 13(3):108-117, 2006. 1
    • (2006) Robotics & Automation Magazine, IEEE , vol.13 , Issue.3 , pp. 108-117
    • Bailey, T.1    Durrant-Whyte, H.2
  • 2
    • 84864435926 scopus 로고    scopus 로고
    • Depth camera based indoor mobile robot localization and navigation
    • 1
    • J. Biswas and M. Veloso. Depth camera based indoor mobile robot localization and navigation. pages 1697-1702. ICRA, 2012. 1
    • (2012) ICRA , pp. 1697-1702
    • Biswas, J.1    Veloso, M.2
  • 3
    • 0035509961 scopus 로고    scopus 로고
    • Fast approximate energy minimization via graph cuts
    • 2001, 3, 5
    • Y. Boykov, O. Veksler, and R. Zabih. Fast approximate energy minimization via graph cuts. PAMI, 23:2001, 2001. 3, 5
    • (2001) PAMI , vol.23
    • Boykov, Y.1    Veksler, O.2    Zabih, R.3
  • 4
    • 56749170578 scopus 로고    scopus 로고
    • Segmentation and recognition using structure from motion point clouds
    • 2
    • G. J. Brostow, J. Shotton, J. Fauqueur, and R. Cipolla. Segmentation and recognition using structure from motion point clouds. In ECCV (1), pages 44-57, 2008. 2
    • (2008) ECCV , Issue.1 , pp. 44-57
    • Brostow, G.J.1    Shotton, J.2    Fauqueur, J.3    Cipolla, R.4
  • 6
    • 0030400638 scopus 로고    scopus 로고
    • A volumetric method for building complex models from range images
    • 2
    • B. Curless and M. Levoy. A volumetric method for building complex models from range images. pages 303-312. ACM, 1996. 2
    • (1996) ACM , pp. 303-312
    • Curless, B.1    Levoy, M.2
  • 7
    • 84959300420 scopus 로고    scopus 로고
    • Self-supervised monocular road detection in desert terrain
    • Philadelphia 1
    • H. Dahlkamp, G. Bradski, A. Kaehler, D. Stavens, and S. Thrun. Self-supervised monocular road detection in desert terrain. In RSS, Philadelphia, 2006. 1
    • (2006) RSS
    • Dahlkamp, H.1    Bradski, G.2    Kaehler, A.3    Stavens, D.4    Thrun, S.5
  • 8
    • 84898460574 scopus 로고    scopus 로고
    • Stixmentation-probabilistic stixel based traffic scene labeling
    • 2
    • F. Erbs, U. Franke, and B. Schwarz. Stixmentation-probabilistic stixel based traffic scene labeling. In BMVC, 2012. 2
    • (2012) BMVC
    • Erbs, F.1    Franke, U.2    Schwarz, B.3
  • 9
    • 84866704163 scopus 로고    scopus 로고
    • Are we ready for autonomous driving? The kitti vision benchmark suite
    • June. 2, 4, 5, 6, 7
    • A. Geiger, P. Lenz, and R. Urtasun. Are we ready for autonomous driving? the kitti vision benchmark suite. In CVPR, June 2012. 2, 4, 5, 6, 7
    • (2012) CVPR
    • Geiger, A.1    Lenz, P.2    Urtasun, R.3
  • 11
    • 79960792622 scopus 로고    scopus 로고
    • Stereoscan: Dense 3d reconstruction in real-time
    • june. 7
    • A. Geiger, J. Ziegler, and C. Stiller. Stereoscan: Dense 3d reconstruction in real-time. In IEEE IV, pages 963-968, june 2011. 7
    • (2011) IEEE , vol.4 , pp. 963-968
    • Geiger, A.1    Ziegler, J.2    Stiller, C.3
  • 12
    • 84860151074 scopus 로고    scopus 로고
    • RGB-D mapping: Using Kinect-style depth cameras for dense 3D modeling of indoor environments
    • Apr. 1
    • P. Henry, M. Krainin, E. Herbst, X. Ren, and D. Fox. RGB-D mapping: Using Kinect-style depth cameras for dense 3D modeling of indoor environments. IJRR, 31(5):647-663, Apr. 2012. 1
    • (2012) IJRR , vol.31 , Issue.5 , pp. 647-663
    • Henry, P.1    Krainin, M.2    Herbst, E.3    Ren, X.4    Fox, D.5
  • 14
    • 77956356126 scopus 로고    scopus 로고
    • Learning 3d mesh segmentation and labeling
    • 2, 3, 4
    • E. Kalogerakis, A. Hertzmann, and K. Singh. Learning 3d mesh segmentation and labeling, 2010. SIGGRAPH. 2, 3, 4
    • (2010) SIGGRAPH
    • Kalogerakis, E.1    Hertzmann, A.2    Singh, K.3
  • 15
    • 85162558717 scopus 로고    scopus 로고
    • Semantic labeling of 3d point clouds for indoor scenes
    • 2
    • H. Koppula, A. Anand, T. Joachims, and A. Saxena. Semantic labeling of 3d point clouds for indoor scenes, 2011. NIPS. 2
    • (2011) NIPS
    • Koppula, H.1    Anand, A.2    Joachims, T.3    Saxena, A.4
  • 16
    • 77953225585 scopus 로고    scopus 로고
    • Associative hierarchical crfs for object class image segmentation
    • 1, 2, 3, 4, 5, 6, 7
    • L. Ladicky, C. Russell, P. Kohli, and P. H. Torr. Associative hierarchical crfs for object class image segmentation. In ICCV, 2009. 1, 2, 3, 4, 5, 6, 7
    • (2009) ICCV
    • Ladicky, L.1    Russell, C.2    Kohli, P.3    Torr, P.H.4
  • 18
    • 84856683991 scopus 로고    scopus 로고
    • Dtam: Dense tracking and mapping in real-time
    • 2, 3
    • R. Newcombe, S. Lovegrove, and A. Davison. Dtam: Dense tracking and mapping in real-time. In ICCV, 2011. 2, 3
    • (2011) ICCV
    • Newcombe, R.1    Lovegrove, S.2    Davison, A.3
  • 21
    • 84871699277 scopus 로고    scopus 로고
    • 3D is here: Point cloud library (PCL)
    • Shanghai, China, May 9-13. 7
    • R. B. Rusu and S. Cousins. 3D is here: Point Cloud Library (PCL). In ICRA, Shanghai, China, May 9-13 2011. 7
    • (2011) ICRA
    • Rusu, R.B.1    Cousins, S.2
  • 23
    • 58149151266 scopus 로고    scopus 로고
    • Textonboost for image understanding: Multi-class object recognition and segmentation by jointly modeling texture, layout, and context
    • 1, 2, 3
    • J. Shotton, J. Winn, C. Rother, and A. Criminisi. Textonboost for image understanding: Multi-class object recognition and segmentation by jointly modeling texture, layout, and context, 2009. ICCV. 1, 2, 3
    • (2009) ICCV
    • Shotton, J.1    Winn, J.2    Rother, C.3    Criminisi, A.4
  • 24
    • 84856656491 scopus 로고    scopus 로고
    • Indoor scene segmentation using a structured light sensor
    • 1, 2, 4, 5, 6
    • N. Silberman and R. Fergus. Indoor scene segmentation using a structured light sensor, 2011. ICCV. 1, 2, 4, 5, 6
    • (2011) ICCV
    • Silberman, N.1    Fergus, R.2
  • 25
    • 84870177850 scopus 로고    scopus 로고
    • Indoor segmentation and support inference from rgbd images
    • 2
    • N. Silberman, D. Hoiem, P. Kohli, and R. Fergus. Indoor segmentation and support inference from rgbd images. In ECCV, 2012. 2
    • (2012) ECCV
    • Silberman, N.1    Hoiem, D.2    Kohli, P.3    Fergus, R.4
  • 26
    • 84872348016 scopus 로고    scopus 로고
    • Semantic mapping using object-class segmentation of rgb-d images
    • 1
    • J. Stuckler, N. Biresev, and S. Behnke. Semantic mapping using object-class segmentation of rgb-d images. In IROS, pages 3005-3010, 2012. 1
    • (2012) IROS , pp. 3005-3010
    • Stuckler, J.1    Biresev, N.2    Behnke, S.3
  • 27
    • 84898870663 scopus 로고    scopus 로고
    • Combining appearance and structure from motion features for road scene understanding
    • 2
    • P. Sturgess, K. Alahari, L. Ladicky, and P. H. S. Torr. Combining appearance and structure from motion features for road scene understanding. In BMVC, 2009. 2
    • (2009) BMVC
    • Sturgess, P.1    Alahari, K.2    Ladicky, L.3    Torr, P.H.S.4
  • 28
    • 34047200109 scopus 로고    scopus 로고
    • Sharing visual features for multiclass and multiview object detection
    • 3
    • A. Torralba, K. P. Murphy, and W. T. Freeman. Sharing visual features for multiclass and multiview object detection, 2007. PAMI. 3
    • (2007) PAMI
    • Torralba, A.1    Murphy, K.P.2    Freeman, W.T.3
  • 29
    • 84898435739 scopus 로고    scopus 로고
    • Filter-based mean-field inference for random fields with higher order terms and product labelspaces
    • 1
    • V. Vineet, J. Warrell, and P. H. S. Torr. Filter-based mean-field inference for random fields with higher order terms and product labelspaces. In ECCV, pages 1-10, 2012. 1
    • (2012) ECCV , pp. 1-10
    • Vineet, V.1    Warrell, J.2    Torr, P.H.S.3
  • 30
    • 76249084488 scopus 로고    scopus 로고
    • Improving robot navigation in structured outdoor environments by identifying vegetation from laser data
    • 1
    • K. M. Wurm, R. Kümmerle, C. Stachniss, and W. Burgard. Improving robot navigation in structured outdoor environments by identifying vegetation from laser data. In IROS, pages 1217-1222, 2009. 1
    • (2009) IROS , pp. 1217-1222
    • Wurm, K.M.1    Kümmerle, R.2    Stachniss, C.3    Burgard, W.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.