ZHANG Zhi-min, QIAO Jian-zhong, LIN Shu-kuan, WANG Pin-he. A View Reconstruction Method Based on Deep Network[J]. Journal of Northeastern University Natural Science, 2020, 41(8): 1065-1069.
[1]Eigen D,Puhrsch C,Fergus R.Depth map prediction from a single image using a multi-scale deep network[C/OL]//Advances in Neural Information Processing Systems 27 (NIPS2014).Kuching,Malaysia,2014[2019-12-15].https://www.researchgate.net/publication/262974294_Depth_Map_Prediction_from_a_Single_Image_using_a_Multi-Scale_Deep_Network. [2]Saxena A,Sun M,Ng A Y.Learning 3-D scene structure from a single still image[C]//2007 IEEE 11th International Conference on Computer Vision.New York:IEEE,2007:1-8. [3]Garg R,Kumar V,Carneiro G,et al.Unsupervised CNN for single view depth estimation:geometry to the rescue[C]//European Conference on Computer Vision.Amsterdam,2016:740-756. [4]Godard C,Mac Aodha O,Brostow G J.Unsupervised monocular depth estimation with left-right consistency[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.New York:IEEE,2017:270-279. [5]Luo Y,Ren J,Lin M,et al.Single view stereo matching[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.New York:IEEE,2018:155-163. [6]Flynn J,Neulander I,Philbin J,et al.DeepStereo:learning to predict new views from the world’s imagery[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.New York:IEEE,2016:5515-5524. [7]Zhou T,Tulsiani S,Sun W,et al.View synthesis by appearance flow[C]//European Conference on Computer Vision.Amsterdam,2016:286-301. [8]Xie J,Girshick R,Farhadi A.Deep3D:fully automatic 2D-to-3D video conversion with deep convolutional neural networks[C]//European Conference on Computer Vision.Amsterdam,2016:842-857. [9]Long J,Shelhamer E,Darrell T.Fully convolutional networks for semantic segmentation[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.New York:IEEE,2015:3431-3440. [10]Springenberg J T,Dosovitskiy A,Brox T,et al.Striving for simplicity:the all convolutional net[C/OL]//International Conference on Learning Representations.San Diego,2015[2019-12-15].http://arxiv.org/pdf/1412.6806.pdf. [11]Zhang Y,Khamis S,Rhemann C,et al.Activestereonet:end-to-end self-supervised learning for active stereo systems[C]//Proceedings of the European Conference on Computer Vision (ECCV).Munich,2018:784-801. [12]Zhao H,Gallo O,Frosio I,et al.Loss functions for image restoration with neural networks[J].IEEE Transactions on Computational Imaging,2016,3(1):47-57. [15]关守平,房少纯.一种新型的区间-粒子群优化算法[J].东北大学学报(自然科学版),2012,33(10):1381-1384.(Guan Shou-ping,Fang Shao-chun.A new interval particle swarm optimization algorithm[J].Journal of Northeastern University(Natural Science),2012,33(10):1381-1384.)