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Volumn 76, Issue 3, 2017, Pages 4273-4290

Modality-specific and hierarchical feature learning for RGB-D hand-held object recognition

Author keywords

Feature learning; Multiple modalities; RGB D object recogntion

Indexed keywords

LEARNING SYSTEMS; MAN MACHINE SYSTEMS; PALMPRINT RECOGNITION;

EID: 84960096340     PISSN: 13807501     EISSN: 15737721     Source Type: Journal    
DOI: 10.1007/s11042-016-3375-5     Document Type: Article
Times cited : (9)

References (29)
  • 2
    • 84455172978 scopus 로고    scopus 로고
    • Depth kernel descriptors for object recognition. In: IROS
    • Bo L, Ren X (2011) Depth kernel descriptors for object recognition. In: IROS, pp 821–826
    • (2011) pp 821–826
    • Bo, L.1    Ren, X.2
  • 4
    • 57549109093 scopus 로고    scopus 로고
    • Multiple feature fusion by subspace learning. In: Proceedings of the 2008 international conference on Content-based image and video retrieval. ACM
    • Fu Y, Cao L, Guo G, Huang TS (2008) Multiple feature fusion by subspace learning. In: Proceedings of the 2008 international conference on Content-based image and video retrieval. ACM, pp 127– 134
    • (2008) pp 127– 134
    • Fu, Y.1    Cao, L.2    Guo, G.3    Huang, T.S.4
  • 5
    • 84911400494 scopus 로고    scopus 로고
    • Rich feature hierarchies for accurate object detection and semantic segmentation. In: CVPR
    • Girshick R, Donahue J, Darrell T, Malik J (2014) Rich feature hierarchies for accurate object detection and semantic segmentation. In: CVPR, pp 580–587
    • (2014) pp 580–587
    • Girshick, R.1    Donahue, J.2    Darrell, T.3    Malik, J.4
  • 6
    • 84939542814 scopus 로고    scopus 로고
    • Indoor scene understanding with rgb-d Bottom-up segmentation, object detection and semantic segmentation
    • Gupta S, Arbeláez P, Girshick R, images JM (2014) Indoor scene understanding with rgb-d Bottom-up segmentation, object detection and semantic segmentation. IJCV, pp 1–17
    • (2014) IJCV , pp. 1-17
    • Gupta, S.1    Arbeláez, P.2    Girshick, R.3    images, J.M.4
  • 7
    • 85013856246 scopus 로고    scopus 로고
    • Learning rich features from RGB-d images for object detection and segmentation
    • Gupta S, Girshick RB, Arbelaez P, Malik J (2014) Learning rich features from RGB-d images for object detection and segmentation. CoRR, abs/1407:5736
    • (2014) CoRR, abs/1407 , pp. 5736
    • Gupta, S.1    Girshick, R.B.2    Arbelaez, P.3    Malik, J.4
  • 8
    • 84870183903 scopus 로고    scopus 로고
    • 3d convolutional neural networks for human action recognition
    • Ji S, Xu W, Yang M, Yu K (2013) 3d convolutional neural networks for human action recognition. IEEE Trans Pattern Anal Mach Intell 35(1):221–231
    • (2013) IEEE Trans Pattern Anal Mach Intell , vol.35 , Issue.1 , pp. 221-231
    • Ji, S.1    Xu, W.2    Yang, M.3    Yu, K.4
  • 9
    • 84872308816 scopus 로고    scopus 로고
    • Voxelized shape and color histograms for rgb-d
    • IROS Workshop on Active Semantic Perception, Citeseer
    • Kanezaki A, Marton Z-C, Pangercic D, Harada T, Kuniyoshi Y, Beetz M (2011) Voxelized shape and color histograms for rgb-d. In: IROS Workshop on Active Semantic Perception. Citeseer
    • (2011) In
    • Kanezaki, A.1    Marton, Z.-C.2    Pangercic, D.3    Harada, T.4    Kuniyoshi, Y.5    Beetz, M.6
  • 10
    • 84876231242 scopus 로고    scopus 로고
    • Imagenet classification with deep convolutional neural networks. In: NIPS
    • Krizhevsky A, Sutskever I, Hinton GE (2012) Imagenet classification with deep convolutional neural networks. In: NIPS, pp 1106–1114
    • (2012) pp 1106–1114
    • Krizhevsky, A.1    Sutskever, I.2    Hinton, G.E.3
  • 11
    • 84876231242 scopus 로고    scopus 로고
    • ImageNet classification with deep convolutional neural networks. In: Advances in Neural Information Processing Systems
    • Krizhevsky A, Sutskever I, Hinton GE (2012) ImageNet classification with deep convolutional neural networks. In: Advances in Neural Information Processing Systems, pp 1097–1105
    • (2012) pp 1097–1105
    • Krizhevsky, A.1    Sutskever, I.2    Hinton, G.E.3
  • 12
    • 84905641781 scopus 로고    scopus 로고
    • Multiple feature fusion based hand-held object recognition with rgb-d data. In: Proceedings of International Conference on Internet Multimedia Computing and Service. ACM
    • Liu S, Wang S, Wu L, Jiang S (2014) Multiple feature fusion based hand-held object recognition with rgb-d data. In: Proceedings of International Conference on Internet Multimedia Computing and Service. ACM, pp 303–306
    • (2014) pp 303–306
    • Liu, S.1    Wang, S.2    Wu, L.3    Jiang, S.4
  • 13
    • 84890560521 scopus 로고    scopus 로고
    • Multiview hessian discriminative sparse coding for image annotation
    • Liu W, Tao D, Cheng J, Tang Y (2014) Multiview hessian discriminative sparse coding for image annotation. Comput Vis Image Understand 118:50–60
    • (2014) Comput Vis Image Understand , vol.118 , pp. 50-60
    • Liu, W.1    Tao, D.2    Cheng, J.3    Tang, Y.4
  • 14
    • 84924800722 scopus 로고    scopus 로고
    • Rgb-d hand-held object recognition based on heterogeneous feature fusion
    • Lv X, Jiang S-Q, Herranz L, Wang S (2015) Rgb-d hand-held object recognition based on heterogeneous feature fusion. J Comput Sci Technol 30(2):340–352
    • (2015) J Comput Sci Technol , vol.30 , Issue.2 , pp. 340-352
    • Lv, X.1    Jiang, S.-Q.2    Herranz, L.3    Wang, S.4
  • 15
    • 84922623574 scopus 로고    scopus 로고
    • Combining heterogenous features for 3d hand-held object recognition. In: Proceedings SPIE, Optoelectronic Imaging and Multimedia Technology III, vol 9273
    • Lv X, Wang S, Li X, Jiang S (2014) Combining heterogenous features for 3d hand-held object recognition. In: Proceedings SPIE, Optoelectronic Imaging and Multimedia Technology III, vol 9273, pp 92732I–92732I–10
    • (2014) pp 92732I–92732I–10
    • Lv, X.1    Wang, S.2    Li, X.3    Jiang, S.4
  • 17
    • 77955991434 scopus 로고    scopus 로고
    • Figure-ground segmentation improves handled object recognition in egocentric video. In: CVPR
    • Ren X, Gu C (2010) Figure-ground segmentation improves handled object recognition in egocentric video. In: CVPR, pp 3137–3144
    • (2010) pp 3137–3144
    • Ren, X.1    Gu, C.2
  • 19
    • 84933585162 scopus 로고    scopus 로고
    • Very deep convolutional networks for large-scale image recognition
    • Simonyan K, Zisserman A (2014) Very deep convolutional networks for large-scale image recognition. CoRR, abs/1409:1556
    • (2014) CoRR, abs/1409 , pp. 1556
    • Simonyan, K.1    Zisserman, A.2
  • 21
    • 84860783513 scopus 로고    scopus 로고
    • Ensemble of shape functions for 3d object classification. In: ROBIO
    • Wohlkinger W, Vincze M (2011) Ensemble of shape functions for 3d object classification. In: ROBIO, pp 2987–2992
    • (2011) pp 2987–2992
    • Wohlkinger, W.1    Vincze, M.2
  • 22
    • 84946482832 scopus 로고    scopus 로고
    • Multi-view low-rank dictionary learning for image classification
    • Wu F, Jing X-Y, You X, Yue D, Hu R, Yang J-Y (2016) Multi-view low-rank dictionary learning for image classification. Pattern Recogn 50:143–154
    • (2016) Pattern Recogn , vol.50 , pp. 143-154
    • Wu, F.1    Jing, X.-Y.2    You, X.3    Yue, D.4    Hu, R.5    Yang, J.-Y.6
  • 23
    • 33947671977 scopus 로고    scopus 로고
    • Individual object interaction for camera control and multimedia synchronization. In: ICASSP
    • Xu RYD, Jin JS (2006) Individual object interaction for camera control and multimedia synchronization. In: ICASSP, vol 5
    • (2006) vol 5
    • Xu, R.Y.D.1    Jin, J.S.2
  • 24
    • 84906341064 scopus 로고    scopus 로고
    • Visualizing and understanding convolutional networks
    • Zeiler MD, Fergus R (2013) Visualizing and understanding convolutional networks. CoRR, abs/1311:2901
    • (2013) CoRR, abs/1311 , pp. 2901
    • Zeiler, M.D.1    Fergus, R.2
  • 25
    • 84906489074 scopus 로고    scopus 로고
    • Visualizing and understanding convolutional networks. In: ECCV
    • Zeiler MD, Fergus R (2014) Visualizing and understanding convolutional networks. In: ECCV, pp 818–833
    • (2014) pp 818–833
    • Zeiler, M.D.1    Fergus, R.2
  • 27
    • 84957677391 scopus 로고    scopus 로고
    • Bounding multiple gaussians uncertainty with application to object tracking
    • Zhang B, Perina A, Li Z, Murino V (2016) Bounding multiple gaussians uncertainty with application to object tracking. IJCV
    • (2016) IJCV
    • Zhang, B.1    Perina, A.2    Li, Z.3    Murino, V.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.