PanoDepth: A Two-Stage Approach for Monocular Omnidirectional Depth Estimation
Author:
Affiliation:
1. University of Missouri
2. BOSCH Research,China
3. BOSCH Research,North America
Funder
National Science Foundation
Health
Army Research Laboratory
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9665713/9665818/09665896.pdf?arnumber=9665896
Reference67 articles.
1. Single View Stereo Matching
2. An intriguing failing of convolutional neural networks and the coordconv solution;liu;In Advances in Neural Information Processing Systems,2018
3. Geometric Structure Based and Regularized Depth Estimation From 360 Indoor Imagery
4. Look Deeper into Depth: Monocular Depth Estimation with Semantic Booster and Attention-Driven Loss
5. Guiding monocular depth estimation using depth-attention volume;huynh;arXiv preprint arXiv 2004 06774,2020
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