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Lidar Image Classification based on Convolutional Neural Networks

 et    | 09 avr. 2018
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R. B. Rusu, N. Blodow, and M. Beetz. Fast point feature histograms (fpfh) for 3d registration. In Robotics and Automation, 2009. ICRA’09. IEEE International Conferenceon, pages 3212–3217. IEEE, 2009.Search in Google Scholar

Yasir Salih, A.S. Malik, D. Sidibé, M.T. Simsim, N. Saad and F. Meriaudeau .ompressed VFH descriptor for 3D object classification. 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON), 2014.Search in Google Scholar

Z. Wu, S. Song, A. Khosla, F. Yu, L. Zhang, X. Tang, and J. Xiao, “3d shapenets: A deep representation for volumetric shapes,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2015, pp. 1912–1920.Search in Google Scholar

Daniel Maturana,Sebastian Scherer.VoxNet: A 3D Convolutional Neural Network for real-time object recognition. Intelligent Robots and Systems (IROS), 2015 IEEE/RSJ International Conference on.Search in Google Scholar

J. Bergstra, F. Bastien, O. Breuleux, P. Lamblin, R. Pascanu, O. Delalleau, G. Desjardins, D. Warde-Farley, I. Goodfellow, A. Bergeronet al., “Theano: Deep learning on gpus with python,” in NIPS 2011,BigLearning Workshop, Granada, Spain, 2011.Search in Google Scholar

Z. Wu, S. Song, A. Khosla, F. Yu, L. Zhang, X. Tang and J. Xiao 3D ShapeNets: A Deep Representation for Volumetric Shape Modeling Proceedings of 28th IEEE Conference on Computer Vision and Pattern Recognition (CVPR2015).Search in Google Scholar

The HDF Group. Why Use HDF?. Retrieved January 4, 2012, from https://www.hdfgroup.org/why-hdf/.Search in Google Scholar

C. R. Qi, H. Su, M. Nießner, A. Dai, M. Yan, and L. Guibas.Volumetric and multi-view cnns for object classification on 3d data. In Proc. Computer Vision and Pattern Recognition (CVPR), IEEE, 2016.Search in Google Scholar

http://www.cnblogs.com/graphics/archive/2010/08/05/1793393.html The Princeton ModelNet. http://modelnet.cs.Search in Google Scholar

The Princeton ModelNet. http://modelnet.cs.Search in Google Scholar

R. B. Girshick, J. Donahue, T. Darrell, and J. Malik. Rich feature hierarchies for accurate object detection and semantic segmentation. In Proc. CVPR, 2014.Search in Google Scholar

eISSN:
2470-8038
Langue:
Anglais
Périodicité:
4 fois par an
Sujets de la revue:
Computer Sciences, other