Results 41 to 50 of about 1,701,201 (300)
An Edge-Sense Bidirectional Pyramid Network for Stereo Matching of VHR Remote Sensing Images
Remote Sensing, 2020 As an essential step in 3D reconstruction, stereo matching still faces unignorable problems due to the high resolution and complex structures of remote sensing images.
Rongshu Tao, Yuming Xiang, Hongjian You
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Dense Stereo Matching Based on the Directional Local Binary Pattern [PDF]
AUT Journal of Electrical Engineering, 2023 New applications such as 3D graphics, 3D displays, and image-based modeling have made stereo vision an active research area in recent years. In dense disparity map estimation, which is a basic problem in stereo vision, using two left and right images ...
Parisa Bagheri, Ali Fotouhi
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IEEE Access, 2021 High-resolution (HR) 360° images offer great advantages wherever an omnidirectional view is necessary such as in autonomous robot systems and virtual reality (VR) applications.
Hee-Jae Kim, Je-Won Kang, Byung-Uk Lee
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Sensors, 2019 In this paper, we introduce an in-depth application of high-resolution disparity map estimation using stereo images from Mars Curiosity rover’s Mastcams, which have two imagers with different resolutions.
Bulent Ayhan, Chiman Kwan
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Stereo Matching With Multiscale Hybrid Cost Volume
IEEE Access, 2022 Stereo matching estimates the disparity between a pair of rectified left and right images. It plays an important role in robot navigation, autonomous driving, and other related tasks.
Minhua Li +5 more
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Wasserstein Distances for Stereo Disparity Estimation
CoRR, 2020 Accepted to NeurIPS 2020 (spotlight)
Divyansh Garg +5 more
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Estimating Structural Disparities for Face Models
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 In machine learning, disparity metrics are often defined by measuring the difference in the performance or outcome of a model, across different sub-populations (groups) of datapoints. Thus, the inputs to disparity quantification consist of a model's predictions $\hat{y}$, the ground-truth labels for the predictions $y$, and group labels $g$ for the ...
Shervin Ardeshir +2 more
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Volume perception : disparity extraction and depth representation in complex three dimensional environments [PDF]
, 2014 The work was supported by a Leverhulme Research Fellowship and a grant from the Engineering and Physical Sciences Research Council (EPSRC) Grant EP/G038708/1.Our sensitivity to binocular disparity is exquisite under the best conditions, typically in ...
Harris, Julie
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Depth Estimation for Light-Field Images Using Stereo Matching and Convolutional Neural Networks
Sensors, 2020 The paper presents a novel depth-estimation method for light-field (LF) images based on innovative multi-stereo matching and machine-learning techniques. In the first stage, a novel block-based stereo matching algorithm is employed to compute the initial
Ségolène Rogge +2 more
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Joint Disparity Estimation and Pseudo NIR Generation From Cross Spectral Image Pairs
IEEE Access, 2022 Cross spectral stereo matching is a challenging task due to different spectral properties causing unreliable results in correspondence estimation. In this paper, we propose joint disparity estimation and pseudo near infrared (NIR) generation from cross ...
Zenghui Duan, Cheolkon Jung
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