Real-time monocular depth estimation with adaptive receptive fields
Author:
Funder
National Major Science and Technology Projects of China
Key Technologies Research and Development Program
Publisher
Springer Science and Business Media LLC
Subject
Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s11554-020-01036-0.pdf
Reference26 articles.
1. Ashutosh, S., Sung, H., Andrew, Y.Ng.: Learning depth from single monocular images, NIPS (2006)
2. Janusz, K., Meng, W., Prakash, I.: 2D-to-3D image conversion by learning depth from examples, CVPR(2012). https://doi.org/10.1109/CVPRW.2012.6238903
3. Karsch, K., Liu, C., Kang, S.B.: Depth transfer: depth extraction from video using non-parametric sampling. IEEE Trans. Pattern Anal. Mach. Intell. 36, 2144–2158 (2014)
4. Mohammad, H.B., Vignesh, J., Robinson, P., Anurag, B., Wei, D., Neel, S.: Im2depth: Scalable exemplar based depth transfer, IEEE Winter Conference on Applications of Computer Vision (2014). https://doi.org/10.1109/WACV.2014.6836091
5. Li, S.Z.: Markov random field models in computer vision, ECCV, pp. 361–370 (1994)
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