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In this paper, we address the problem of estimating dense depth from a sequence of images using deep neural networks.
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Y. Xu, X. Zhu, J. Shi, G. Zhang, H. Bao, and H. Li, “Depth completion from sparse lidar data with depth-normal constraints,” in Proc. of the IEEE International Conference on Computer Vision , Seoul, Korea, Oct. 27 – Nov. 2 2019, pp. 2811–2820
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K. Sartipi, T. Do, T. Ke, K. Vuong, and S. I. Roumeliotis, “Deep depth estimation from visual-inertial slam,” in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems , Online, Oct. 25–29 2020
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X. Wei, Y. Zhang, Z. Li, Y. Fu, and X. Xue, “Deepsfm: Structure from motion via deep bundle adjustment,” in Proc. of the European Conference on Computer Vision , Online, Aug. 23–28 2020
2020
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Z. Li and N. Snavely, “Megadepth: Learning single-view depth prediction from internet photos,” in Proc. of the IEEE Conference on Computer Vision and Pattern Recognition , Salt Lake City, UT, June 18–22 2018, pp. 2041–2050
2050
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