Results 21 to 30 of about 26,254 (190)
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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Guiding Monocular Depth Estimation Using Depth-Attention Volume [PDF]
, 2020 Recovering the scene depth from a single image is an ill-posed problem that requires additional priors, often referred to as monocular depth cues, to disambiguate different 3D interpretations. In recent works, those priors have been learned in an end-to-end manner from large datasets by using deep neural networks.
Lam Huynh +4 more
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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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Self-Supervised Monocular Scene Decomposition and Depth Estimation [PDF]
2021 International Conference on 3D Vision (3DV), 2021 3DV ...
Safadoust, Sadra, Guney, Fatma
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Unsupervised Monocular Depth Estimation Method Based on Uncertainty Analysis and Retinex Algorithm
Sensors, 2020 Depth estimation of a single image presents a classic problem for computer vision, and is important for the 3D reconstruction of scenes, augmented reality, and object detection.
Chuanxue Song +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,
Wofk, Diana +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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Unsupervised Learning of Monocular Depth Estimation:A Survey [PDF]
Jisuanji kexueAs the key point of 3D reconstruction,automatic driving and visual SLAM,depth estimation has always been a hot research direction in the field of computer vision,among which,monocular depth estimation technology based on unsupervised learning has been ...
CAI Jiacheng, DONG Fangmin, SUN Shuifa, TANG Yongheng
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Wearable Depth Camera: Monocular Depth Estimation via Sparse Optimization Under Weak Supervision
IEEE Access, 2018 Depth estimation is essential for many human-object interaction tasks. Despite its advantages, traditional depth sensors, including Kinect or depth camera, are always not wearable-friendly due to several critical drawbacks, such as over-size or over ...
Li He +4 more
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