Results 31 to 40 of about 6,226 (231)
Expanding Sparse Radar Depth Based on Joint Bilateral Filter for Radar-Guided Monocular Depth Estimation. [PDF]
Sensors (Basel)Lo CC, Vandewalle P.
europepmc +3 more sources
Monocular Depth Estimation With Augmented Ordinal Depth Relationships [PDF]
IEEE Transactions on Circuits and Systems for Video Technology, 2020 10 ...
Yuanzhouhan Cao +5 more
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The Second Monocular Depth Estimation Challenge
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023 Published at ...
Jaime Spencer +42 more
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MONOCULAR DEPTH ESTIMATION IN FOREST ENVIRONMENTS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Depth estimation from a single image is a challenging task, especially inside the highly structured forest environment. In this paper, we propose a supervised deep learning model for monocular depth estimation based on forest imagery.
H. Hristova +3 more
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MONOCULAR DEPTH ESTIMATION FOR NIGHT-TIME IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Depth estimation plays a pivotal role in numerous computer vision applications. However, depth estimation networks trained exclusively on daytime images tend to yield poor performance when applied to nighttime scenarios due to domain differences and ...
N. Khalefa, N. El-Sheimy
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Adversarial Patch Attacks on Monocular Depth Estimation Networks
IEEE Access, 2020 Thanks to the excellent learning capability of deep convolutional neural networks (CNN), monocular depth estimation using CNNs has achieved great success in recent years.
Koichiro Yamanaka +3 more
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Monocular Depth Estimation of Old Photos via Collaboration of Monocular and Stereo Networks
IEEE Access, 2023 Old photos that were captured about a century ago have archaeological and historical significance. Many of the old photos have been successfully digitized, but most of them suffer from severe and complicated distortion.
Ju Ho Kim +3 more
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Monocular Visual-Inertial Depth Estimation
2023 IEEE International Conference on Robotics and Automation (ICRA), 2023 We present a visual-inertial depth estimation pipeline that integrates monocular depth estimation and visual-inertial odometry to produce dense depth estimates with metric scale. Our approach performs global scale and shift alignment against sparse metric depth, followed by learning-based dense alignment. We evaluate on the TartanAir and VOID datasets,
Diana Wofk +3 more
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Depth Map Decomposition for Monocular Depth Estimation
, 2022 We propose a novel algorithm for monocular depth estimation that decomposes a metric depth map into a normalized depth map and scale features. The proposed network is composed of a shared encoder and three decoders, called G-Net, N-Net, and M-Net, which estimate gradient maps, a normalized depth map, and a metric depth map, respectively.
Jinyoung Jun +3 more
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DPF-Nutrition: Food Nutrition Estimation via Depth Prediction and Fusion
Foods, 2023 A reasonable and balanced diet is essential for maintaining good health. With advancements in deep learning, an automated nutrition estimation method based on food images offers a promising solution for monitoring daily nutritional intake and promoting ...
Yuzhe Han +3 more
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