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Deep Learning-Based Monocular Depth Estimation Methods—A State-of-the-Art Review [PDF]
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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CNN Based Monocular Depth Estimation [PDF]
E3S Web of Conferences, 2021 In several applications, such as scene interpretation and reconstruction, precise depth measurement from images is a significant challenge. Current depth estimate techniques frequently provide fuzzy, low-resolution estimates.
Swaraja K. +8 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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EVALUATING MONOCULAR DEPTH ESTIMATION METHODS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Depth estimation from monocular images has become a prominent focus in photogrammetry and computer vision research. Monocular Depth Estimation (MDE), which involves determining depth from a single RGB image, offers numerous advantages, including ...
N. Padkan +6 more
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Monocular Human Depth Estimation Via Pose Estimation
IEEE Access, 2021 We propose a novel monocular depth estimator, which improves the prediction accuracy on human regions by utilizing pose information. The proposed algorithm consists of two networks — PoseNet and DepthNet — to estimate keypoint heatmaps and ...
Jinyoung Jun +3 more
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SFA-MDEN: Semantic-Feature-Aided Monocular Depth Estimation Network Using Dual Branches [PDF]
Sensors, 2021 Monocular depth estimation based on unsupervised learning has attracted great attention due to the rising demand for lightweight monocular vision sensors.
Rui Wang, Jialing Zou, James Zhiqing Wen
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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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Sensing Range Extension for Short-Baseline Stereo Camera Using Monocular Depth Estimation [PDF]
Sensors, 2022 This paper proposes a method to extend a sensing range of a short-baseline stereo camera (SBSC). The proposed method combines a stereo depth and a monocular depth estimated by a convolutional neural network-based monocular depth estimation (MDE).
Beom-Su Seo, Byungjae Park, Hoon Choi
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Monocular Depth Estimation via Self-Supervised Self-Distillation [PDF]
SensorsSelf-supervised monocular depth estimation can exhibit excellent performance in static environments due to the multi-view consistency assumption during the training process.
Haifeng Hu +4 more
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Joint Soft–Hard Attention for Self-Supervised Monocular Depth Estimation [PDF]
Sensors, 2021 In recent years, self-supervised monocular depth estimation has gained popularity among researchers because it uses only a single camera at a much lower cost than the direct use of laser sensors to acquire depth.
Chao Fan +4 more
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