Results 21 to 30 of about 3,835,189 (296)
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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Depth estimation and validation of plenoptic light field camera [PDF]
, 2023 A light field (LF) camera can record both the spatial and directional information of light rays in a three-dimensional (3D) scene. This is different from traditional photography, which sums up all the light rays to record their intensity and discard the ...
Hossain, Md. Moinul +4 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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Consistent video depth estimation [PDF]
ACM Transactions on Graphics, 2020 We present an algorithm for reconstructing dense, geometrically consistent depth for all pixels in a monocular video. We leverage a conventional structure-from-motion reconstruction to establish geometric constraints on pixels in the video. Unlike the ad-hoc priors in classical reconstruction, we use a learning-based prior, i.e., a convolutional neural
Xuan Luo +4 more
openaire +3 more sources
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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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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Depth Estimation Based on Scene Object Attention and Depth Map Fusion [PDF]
Jisuanji gongcheng, 2023 The existing monocular depth estimation algorithm mainly obtains stereo information from a single image.This approach leads to blurred details of adjacent depth edges and apparent missing objects.A monocular depth estimation algorithm based on scene ...
WEN Jing, YANG Jie
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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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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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Semantic Segmentation Leveraging Simultaneous Depth Estimation
Sensors, 2021 Semantic segmentation is one of the most widely studied problems in computer vision communities, which makes a great contribution to a variety of applications.
Wenbo Sun +5 more
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