Results 1 to 10 of about 1,186,680 (282)
Semantic Segmentation Leveraging Simultaneous Depth Estimation [PDF]
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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Triple-Camera Rectification for Depth Estimation Sensor [PDF]
SensorsIn this study, we propose a novel rectification method for three cameras using a single image for depth estimation. Stereo rectification serves as a fundamental preprocessing step for disparity estimation in stereoscopic cameras.
Minkyung Jeon +3 more
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Parallel Multi-Scale Semantic-Depth Interactive Fusion Network for Depth Estimation [PDF]
Journal of ImagingSelf-supervised depth estimation from monocular image sequences provides depth information without costly sensors like LiDAR, offering significant value for autonomous driving. Although self-supervised algorithms can reduce the dependence on labeled data,
Chenchen Fu +5 more
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Underwater target depth estimation: A shallow-water broadband acoustic source depth estimation method based on corrected warping transformation. [PDF]
PLoS ONEA broadband sound source depth estimation method based on the BDRM model is proposed for the shallow sea to address the problem that the traditional Warping transform is limited by the ideal waveguide and cannot handle the real marine environment ...
Du Siqi, Han Dong, Liu Cong, Li Sidi
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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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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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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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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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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
Luo, Xuan +4 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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