Results 11 to 20 of about 1,186,680 (282)
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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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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Monocular Depth Estimation Based on Multi-Scale Depth Map Fusion
IEEE Access, 2021 Monocular depth estimation is a basic task in machine vision. In recent years, the performance of monocular depth estimation has been greatly improved. However, most depth estimation networks are based on a very deep network to extract features that lead
Xin Yang +4 more
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Estimating Tukey depth using incremental quantile estimators
Pattern Recognition, 2022 The concept of depth represents methods to measure how deep an arbitrary point is positioned in a dataset and can be seen as the opposite of outlyingness. It has proved very useful and a wide range of methods have been developed based on the concept.
Hammer, Hugo Lewi +2 more
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RADepthNet: Reflectance-Aware Monocular Depth Estimation
Virtual Reality & Intelligent Hardware, 2022 Background: Monocular depth estimation aims to predict the dense depth map from a single RGB image, which has important applications in 3D reconstruction, automatic driving, and augmented reality.
Chuxuan Li +7 more
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Dense metal corrosion depth estimation
Frontiers in Physics, 2023 Introduction: Metal corrosion detection is important for protecting lives and property. X-ray inspection systems are widely used because of their good penetrability and visual presentation capability.
Yanping Li +4 more
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Monocular Depth Estimation using Transfer learning-An Overview [PDF]
E3S Web of Conferences, 2021 Depth estimation is a computer vision technique that is critical for autonomous schemes for sensing their surroundings and predict their own condition.
Swaraja K. +8 more
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Deep Learning-Based Monocular Depth Estimation Methods—A State-of-the-Art Review
Sensors, 2020 Monocular depth estimation from Red-Green-Blue (RGB) images is a well-studied ill-posed problem in computer vision which has been investigated intensively over the past decade using Deep Learning (DL) approaches. The recent approaches for monocular depth
Faisal Khan +2 more
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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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Underwater Depth Estimation for Spherical Images
Journal of Robotics, 2021 This paper proposes a method for monocular underwater depth estimation, which is an open problem in robotics and computer vision. To this end, we leverage publicly available in-air RGB-D image pairs for underwater depth estimation in the spherical domain
Jiadi Cui +4 more
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