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Monocular depth estimation with SPN loss
Image and Vision Computing, 2020Abstract Understanding the 3D space is crucial for autonomous vehicles for planning and navigation. Traditionally autonomous vehicles use LiDAR sensor to 3D map its environment. LiDAR sensor data are often noisy and sparse making it not fully reliable for real-time applications like autonomous driving, thus redundant such sensors are used for the ...
Alwyn Mathew, Jimson Mathew
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A Synopsis of Monocular Depth Estimation
2021Depth information is necessary for automated devices or software to accomplish tasks which require the knowledge of the surrounding environment without error. Monocular depth estimation uses a single 2D image to estimate depth, which makes it an exigent method. However, recent studies in monocular depth estimation based on convolutional neural networks
Shubham Chaudhari +3 more
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Monocular Depth Estimation: A Survey
IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society, 2023Dong Wang 0051 +5 more
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Densely Connecting Depth Maps for Monocular Depth Estimation
2020Predicting depth map from a single RGB image is beneficial for many three-dimensional applications. Although recent monocular depth estimation methods have achieved impressive accuracy, the preference on high-level features or low-level features prevents them from balancing sharpness and fidelity of depth maps.
Jinqing Zhang +4 more
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Monocular Depth Estimation Using Relative Depth Maps
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019We propose a novel algorithm for monocular depth estimation using relative depth maps. First, using a convolutional neural network, we estimate relative depths between pairs of regions, as well as ordinary depths, at various scales. Second, we restore relative depth maps from selectively estimated data based on the rank-1 property of pairwise ...
Jaehan Lee, Chang-Su Kim 0001
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Sparse depth densification for monocular depth estimation
Multimedia Tools and Applications, 2023Zhen Liang +3 more
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Monocular Depth Estimation for Equirectangular Videos
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022Helmi Fraser, Sen Wang 0002
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Deep learning for monocular depth estimation: A review
Neurocomputing, 2021Yue Ming, Hui Yu, Chunxiao Fan
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Unsupervised Monocular Depth Estimation via Recursive Stereo Distillation
IEEE Transactions on Image Processing, 2021Xinchen Ye +2 more
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Unsupervised Monocular Depth Estimation for Colonoscope System Using Feedback Network
Sensors, 2021Joong-Hwan Baek
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