[1] Xu D, Ricci E, Ouyang W, et al. Multi-scale continuous crfs as sequential deep networks for monocular depth estimation[C]//2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017: 161-169.
[2] Zhang Guoshan, Zhang Peichong, Wang Xinbo. Visual place recognition based on multi-level feature difference map[J]. Infrared and Laser Engineering, 2018, 47(2): 0203004. (in Chinese)
[3] Yang Nan, Nan Lin, Zhang Dingyi, et al. Research on image interpretation based on deep learning[J]. Infrared and Laser Engineering, 2018, 47(2): 0203002. (in Chinese)
[4] Luo Haibo, He Miao, Hui Bin, et al. Pedestrian detection algorithm based on dual-model fused fully convolutional networks(Invited)[J]. Infrared and Laser Engineering, 2018, 47(2): 0203001. (in Chinese)
[5] Yin Yunhua, Li Huifang. RGB-D object recognition based on hybrid convolutional auto-encoder extreme learning machine[J]. Infrared and Laser Engineering, 2018, 47(2): 0203008. (in Chinese)
[6] Tung S S, Hwang W L. Multiple depth layers and all-in-focus image generations by blurring and deblurring operations[J]. Pattern Recognition, 2017, 69: 184-198.
[7] Namboodiri V P , Chaudhuri S. Recovery of relative depth from a sirrgle observation using arr urrcalibrated(real aperture) camera[C]// 2013 IEEE Corrference orr Computer Vision and Patterrr Recognition. IEEE, 2008: 1-6.
[8] Liu S, Zhou F, Liao Q. Defocus Mefocus map estimation from a single image based on two-parameter defocus model[J]. IEEE Transactions on Image Processing, 2016, 25(12): 5943-5956.
[9] Golestaneh S A, Karam L J. Spatially-varying blur detection based on multiscale fused and sorted transform coefficients of gradient magnitudes[C]// IEEE Conference on Computer Vision and Pattern Recognition, 2017: 596-605.
[10] Yu C, Liu Y, Wu T, Li K, et al. A global energy optimi-zation framework for 2.1 d sketch extraction from monocular images[J]. Graphical Models, 2014, 76(5): 507-521.
[11] Ming A, Xun B, Ni J, et al. Learning discriminative occlusion feature for depth ordering inference on monocular image[C]//ICIP, 2015.
[12] Ming A, Wu T, Ma J, et al. Monocular depth ordering reasoning with occlusion edge detection and couple layers inference[J]. IEEE Intelligent Systems, 2016, 31(2): 54-65.
[13] Hou P, Geng X, Zhang M L. Multi-label manifold learning[C]//Thirtieth AAAI Conference on Artificial Intelligence, 2016: 1680-1686. (in Chinese)
[14] Zhang Z Y, Zha H Y. Principal manifolds and nonlinear dimension reduction via local tangent space alignment[J]. Journal of Shanghai University, 2004, 8(4):406-424.
[15] Kwak N. Principal component analysis based on L1-norm maximization[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008, 30(9): 1672-1680.