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Volumn 2016-December, Issue , 2016, Pages 5648-5656

Volumetric and multi-view CNNs for object classification on 3D data

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; NETWORK ARCHITECTURE; PATTERN RECOGNITION;

EID: 84986309307     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2016.609     Document Type: Conference Paper
Times cited : (1845)

References (31)
  • 3
    • 78650883991 scopus 로고    scopus 로고
    • Data-driven suggestions for creativity support in 3d modeling
    • ACM
    • S. Chaudhuri and V. Koltun. Data-driven suggestions for creativity support in 3d modeling. In ACM Transactions on Graphics (TOG), volume 29, page 183. ACM, 2010.
    • (2010) ACM Transactions on Graphics (TOG) , vol.29 , pp. 183
    • Chaudhuri, S.1    Koltun, V.2
  • 4
    • 0141504437 scopus 로고    scopus 로고
    • On visual similarity based 3d model retrieval
    • Wiley Online Library
    • D.-Y. Chen, X.-P. Tian, Y.-T. Shen, and M. Ouhyoung. On visual similarity based 3d model retrieval. In CGF, volume 22, pages 223-232. Wiley Online Library, 2003.
    • (2003) CGF , vol.22 , pp. 223-232
    • Chen, D.-Y.1    Tian, X.-P.2    Shen, Y.-T.3    Ouhyoung, M.4
  • 6
    • 72249100259 scopus 로고    scopus 로고
    • Imagenet: A large-scale hierarchical image database
    • IEEE
    • J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei. Imagenet: A large-scale hierarchical image database. In CVPR 2009, pages 248-255. IEEE, 2009.
    • (2009) CVPR 2009 , pp. 248-255
    • Deng, J.1    Dong, W.2    Socher, R.3    Li, L.-J.4    Li, K.5    Fei-Fei, L.6
  • 9
    • 84964588182 scopus 로고    scopus 로고
    • Fast r-cnn
    • R. Girshick. Fast r-cnn. In ICCV 2015, pages 1440-1448, 2015.
    • (2015) ICCV 2015 , pp. 1440-1448
    • Girshick, R.1
  • 10
    • 84911400494 scopus 로고    scopus 로고
    • Rich feature hierarchies for accurate object detection and semantic segmentation
    • IEEE
    • R. Girshick, J. Donahue, T. Darrell, and J. Malik. Rich feature hierarchies for accurate object detection and semantic segmentation. In CVPR 2014, pages 580-587. IEEE, 2014.
    • (2014) CVPR 2014 , pp. 580-587
    • Girshick, R.1    Donahue, J.2    Darrell, T.3    Malik, J.4
  • 11
    • 84906344142 scopus 로고    scopus 로고
    • Learning rich features from rgb-d images for object detection and segmentation
    • Springer
    • S. Gupta, R. Girshick, P. Arbeláez, and J. Malik. Learning rich features from rgb-d images for object detection and segmentation. In ECCV 2014, pages 345-360. Springer, 2014.
    • (2014) ECCV 2014 , pp. 345-360
    • Gupta, S.1    Girshick, R.2    Arbeláez, P.3    Malik, J.4
  • 12
    • 84959255777 scopus 로고    scopus 로고
    • Matchnet: Unifying feature and metric learning for patchbased matching
    • X. Han, T. Leung, Y. Jia, R. Sukthankar, and A. C. Berg. Matchnet: Unifying feature and metric learning for patchbased matching. In CVPR 2015, pages 3279-3286, 2015.
    • (2015) CVPR 2015 , pp. 3279-3286
    • Han, X.1    Leung, T.2    Jia, Y.3    Sukthankar, R.4    Berg, A.C.5
  • 13
    • 0021618665 scopus 로고
    • Extended Gaussian images
    • B. K. Horn. Extended Gaussian images. Proceedings of the IEEE, 72 (12): 1671-1686, 1984.
    • (1984) Proceedings of the IEEE , vol.72 , Issue.12 , pp. 1671-1686
    • Horn, B.K.1
  • 15
    • 85089921422 scopus 로고    scopus 로고
    • Rotation invariant spherical harmonic representation of 3 d shape descriptors
    • M. Kazhdan, T. Funkhouser, and S. Rusinkiewicz. Rotation invariant spherical harmonic representation of 3 d shape descriptors. In SGP 2003, volume 6, pages 156-164, 2003.
    • (2003) SGP 2003 , vol.6 , pp. 156-164
    • Kazhdan, M.1    Funkhouser, T.2    Rusinkiewicz, S.3
  • 16
    • 78149305228 scopus 로고    scopus 로고
    • Hough transform and 3d surf for robust three dimensional classification
    • Springer
    • J. Knopp, M. Prasad, G. Willems, R. Timofte, and L. Van Gool. Hough transform and 3d surf for robust three dimensional classification. In ECCV 2010, pages 589-602. Springer, 2010.
    • (2010) ECCV 2010 , pp. 589-602
    • Knopp, J.1    Prasad, M.2    Willems, G.3    Timofte, R.4    Van Gool, L.5
  • 17
    • 84866699222 scopus 로고    scopus 로고
    • Intrinsic shape context descriptors for deformable shapes
    • IEEE
    • I. Kokkinos, M. M. Bronstein, R. Litman, and A. M. Bronstein. Intrinsic shape context descriptors for deformable shapes. In CVPR 2012, pages 159-166. IEEE, 2012.
    • (2012) CVPR 2012 , pp. 159-166
    • Kokkinos, I.1    Bronstein, M.M.2    Litman, R.3    Bronstein, A.M.4
  • 18
    • 0032203257 scopus 로고    scopus 로고
    • Gradientbased learning applied to document recognition
    • Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. Gradientbased learning applied to document recognition. Proceedings of the IEEE, 86 (11): 2278-2324, 1998.
    • (1998) Proceedings of the IEEE , vol.86 , Issue.11 , pp. 2278-2324
    • LeCun, Y.1    Bottou, L.2    Bengio, Y.3    Haffner, P.4
  • 19
    • 5044231640 scopus 로고    scopus 로고
    • Learning methods for generic object recognition with invariance to pose and lighting
    • IEEE
    • Y. LeCun, F. J. Huang, and L. Bottou. Learning methods for generic object recognition with invariance to pose and lighting. In CVPR 2014, volume 2, pages II-97. IEEE, 2004.
    • (2004) CVPR 2014 , vol.2 , pp. II-97
    • LeCun, Y.1    Huang, F.J.2    Bottou, L.3
  • 25
    • 84960469741 scopus 로고    scopus 로고
    • Deeppano: Deep panoramic representation for 3-d shape recognition
    • B. Shi, S. Bai, Z. Zhou, and X. Bai. Deeppano: Deep panoramic representation for 3-d shape recognition. Signal Processing Letters, IEEE, 22 (12): 2339-2343, 2015.
    • (2015) Signal Processing Letters, IEEE , vol.22 , Issue.12 , pp. 2339-2343
    • Shi, B.1    Bai, S.2    Zhou, Z.3    Bai, X.4
  • 26
    • 84867713871 scopus 로고    scopus 로고
    • Indoor segmentation and support inference from rgbd images
    • Springer
    • N. Silberman, D. Hoiem, P. Kohli, and R. Fergus. Indoor segmentation and support inference from rgbd images. In ECCV 2012, pages 746-760. Springer, 2012.
    • (2012) ECCV 2012 , pp. 746-760
    • Silberman, N.1    Hoiem, D.2    Kohli, P.3    Fergus, R.4
  • 27
    • 84877789646 scopus 로고    scopus 로고
    • Convolutional-recursive deep learning for 3d object classification
    • R. Socher, B. Huval, B. Bath, C. D. Manning, and A. Y. Ng. Convolutional-recursive deep learning for 3d object classification. In NIPS 2012, pages 665-673, 2012.
    • (2012) NIPS 2012 , pp. 665-673
    • Socher, R.1    Huval, B.2    Bath, B.3    Manning, C.D.4    Ng, A.Y.5
  • 28
    • 84957966034 scopus 로고    scopus 로고
    • Sun rgb-d: A rgb-d scene understanding benchmark suite
    • S. Song, S. P. Lichtenberg, and J. Xiao. Sun rgb-d: A rgb-d scene understanding benchmark suite. In CVPR 2015, pages 567-576, 2015.
    • (2015) CVPR 2015 , pp. 567-576
    • Song, S.1    Lichtenberg, S.P.2    Xiao, J.3
  • 29
  • 30
    • 84949636429 scopus 로고    scopus 로고
    • 3d shapenets: A deep representation for volumetric shapes
    • Z. Wu, S. Song, A. Khosla, F. Yu, L. Zhang, X. Tang, and J. Xiao. 3d shapenets: A deep representation for volumetric shapes. In CVPR 2015, pages 1912-1920, 2015.
    • (2015) CVPR 2015 , pp. 1912-1920
    • Wu, Z.1    Song, S.2    Khosla, A.3    Yu, F.4    Zhang, L.5    Tang, X.6    Xiao, J.7
  • 31
    • 84898798081 scopus 로고    scopus 로고
    • Sun3d: A database of big spaces reconstructed using sfm and object labels
    • IEEE
    • J. Xiao, A. Owens, and A. Torralba. Sun3d: A database of big spaces reconstructed using sfm and object labels. In ICCV 2013, pages 1625-1632. IEEE, 2013.
    • (2013) ICCV 2013 , pp. 1625-1632
    • Xiao, J.1    Owens, A.2    Torralba, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.