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Volumn , Issue , 2013, Pages 2104-2111

Multimodal cue integration through Hypotheses Verification for RGB-D object recognition and 6DOF pose estimation

Author keywords

[No Author keywords available]

Indexed keywords

6-DOF POSE ESTIMATIONS; BENCHMARK DATASETS; EFFECTIVE ALGORITHMS; HYPOTHESIS VERIFICATIONS; MULTI-MODAL CUE INTEGRATION; OBJECT MODEL; RGB-D SENSORS;

EID: 84887313890     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICRA.2013.6630859     Document Type: Conference Paper
Times cited : (88)

References (18)
  • 3
    • 84938236479 scopus 로고    scopus 로고
    • Our-cvfh: Oriented, unique and repeatable clustered viewpoint feature histogram for object recognition and 6dof pose estimation
    • A. Aldoma, F. Tombari, R. Rusu, and M. Vincze, "Our-cvfh: Oriented, unique and repeatable clustered viewpoint feature histogram for object recognition and 6dof pose estimation," in Joint DAGM-OAGM Pattern Recognition Symposium, 2012.
    • (2012) Joint DAGM-OAGM Pattern Recognition Symposium
    • Aldoma, A.1    Tombari, F.2    Rusu, R.3    Vincze, M.4
  • 7
    • 85073913315 scopus 로고    scopus 로고
    • Object recognition and full pose registration from a single image for robotic manipulation
    • A. Collet, D. Berenson, S. S. Srinivasa, and D. Ferguson, "Object recognition and full pose registration from a single image for robotic manipulation," in in IEEE ICRA. Kobe, 2009, pp. 48-55.
    • (2009) IEEE ICRA. Kobe , pp. 48-55
    • Collet, A.1    Berenson, D.2    Srinivasa, S.S.3    Ferguson, D.4
  • 8
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • D. G. Lowe, "Distinctive image features from scale-invariant keypoints," IJCV, vol. 60, no. 2, pp. 91-110, 2004.
    • (2004) IJCV , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.G.1
  • 11
    • 84862643607 scopus 로고    scopus 로고
    • An efficient ransac for 3d object recognition in noisy and occluded scenes
    • C. Papazov and D. Burschka, "An efficient ransac for 3d object recognition in noisy and occluded scenes," in Proc. 10th ACCV, 2010.
    • (2010) Proc. 10th ACCV
    • Papazov, C.1    Burschka, D.2
  • 13
    • 84856685492 scopus 로고    scopus 로고
    • Multimodal templates for real-time detection of texture-less objects in heavily cluttered scenes
    • S. Hinterstoisser, S. Holzer, C. Cagniart, S. Ilic, K. Konolige, N. Navab, and V. Lepetit, "Multimodal templates for real-time detection of texture-less objects in heavily cluttered scenes," in ICCV'11, 2011, pp. 858-865.
    • (2011) ICCV'11 , pp. 858-865
    • Hinterstoisser, S.1    Holzer, S.2    Cagniart, C.3    Ilic, S.4    Konolige, K.5    Navab, N.6    Lepetit, V.7
  • 17
    • 39749124915 scopus 로고    scopus 로고
    • Robust object detection with interleaved categorization andsegmentation
    • B. Leibe, A. Leonardis, and B. Schiele, "Robust object detection with interleaved categorization andsegmentation," Int. J. Comput. Vision, vol. 77, no. 1-3, pp. 259-289, 2008.
    • (2008) Int. J. Comput. Vision , vol.77 , Issue.1-3 , pp. 259-289
    • Leibe, B.1    Leonardis, A.2    Schiele, B.3
  • 18
    • 33750143865 scopus 로고    scopus 로고
    • 3d model-based object recognition and segmentation in cluttered scenes
    • A. Mian, M. Bennamoun, and R. Owens, "3d model-based object recognition and segmentation in cluttered scenes," IEEE Trans. PAMI, no. 10, 2006
    • (2006) IEEE Trans. PAMI , Issue.10
    • Mian, A.1    Bennamoun, M.2    Owens, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.