Position Estimation of Camera Based on Unsupervised Learning-Reference-Cited by-同舟云学术

Position Estimation of Camera Based on Unsupervised Learning

Published:2018 Issue: Volume: Page:
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Container-title:Proceedings of the International Conference on Pattern Recognition and Artificial Intelligence - PRAI 2018
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Author:

Wu YanTong¹,Liu Yang¹,Li XueMing¹

Affiliation:

1. School of Digital Media & Design Arts, Beijing University of Posts and Telecommunications, Beijing

Publisher

ACM Press

Reference18 articles.

1. Zhou, T., Brown, M., Snavely, N., & Lowe, D. G. (2017, July). Unsupervised learning of depth and ego-motion from video. In CVPR (Vol. 2, No. 6, p. 7).

2. Eigen, D., Puhrsch, C., & Fergus, R. (2014). Depth map prediction from a single image using a multi-scale deep network. In Advances in neural information processing systems (pp. 2366--2374).

3. Godard, C., Mac Aodha, O., & Brostow, G. J. (2017, July). Unsupervised monocular depth estimation with left-right consistency. In CVPR (Vol. 2, No. 6, p. 7).

4. Laina, I., Rupprecht, C., Belagiannis, V., Tombari, F., & Navab, N. (2016, October). Deeper depth prediction with fully convolutional residual networks. In 3D Vision (3DV), 2016 Fourth International Conference on (pp. 239--248). IEEE.

5. Mur-Artal, R., Montiel, J. M. M., & Tardos, J. D. (2015). ORB-SLAM: a versatile and accurate monocular SLAM system. IEEE Transactions on Robotics, 31(5), 1147--1163.

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