Results 31 to 40 of about 19,312 (309)
An Improved Stereo Matching Algorithm Based on Joint Similarity Measure and Adaptive Weights
Applied Sciences, 2022 Stereo matching is the operation of obtaining the parallax value between two images by matching all the corresponding image points in the two images, thus obtaining the dense parallax image between the two images.
Xiangjun Lai +6 more
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A Decomposition Model for Stereo Matching [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 CVPR ...
Chengtang Yao +4 more
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Estimation of disparity map of stereo image pairs using spatial domain local Gabor wavelet
IET Computer Vision, 2015 The stereo matching problem takes two images captured by nearby cameras and attempts to recover quantitative disparity information. Most of the existing stereo matching algorithms find it difficult to estimate disparity in the occlusion, discontinuities ...
T. Malathi, M.K. Bhuyan
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Pyramid Stereo Matching Network [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 Recent work has shown that depth estimation from a stereo pair of images can be formulated as a supervised learning task to be resolved with convolutional neural networks (CNNs). However, current architectures rely on patch-based Siamese networks, lacking the means to exploit context information for finding correspondence in illposed regions. To tackle
Jia-Ren Chang, Yong-Sheng Chen
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Single View Stereo Matching [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 Previous monocular depth estimation methods take a single view and directly regress the expected results. Though recent advances are made by applying geometrically inspired loss functions during training, the inference procedure does not explicitly impose any geometrical constraint.
Yue Luo +6 more
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Semiglobal Matching Results on the ISPRS Stereo Matching Benchmark
, 2011 Digital surface models can be efficiently generated with automatic image matching from optical stereo images. The Working Group 4 of Commission I on "Geometric and Radiometric Modelling of Optical Spaceborne Sensors" provides a matching benchmark ...
Reinartz, Peter +3 more
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SVCV: segmentation volume combined with cost volume for stereo matching
IET Computer Vision, 2017 Stereo matching between binocular stereo images is fundamental to many computer vision tasks, such as three‐dimensional (3D) reconstruction and robot navigation. Various structures of real 3D scenes lead stereo matching to be an old yet still challenging
Hongmei Zhu, Jihao Yin, Ding Yuan
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Stereo Matching Based On Election Campaign Algorithm
MATEC Web of Conferences, 2016 Stereo matching is one of the significant problems in the study of the computer vision. By getting the distance information through pixels, it is possible to reproduce a three-dimensional stereo.
Xie Qing Hua +3 more
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, 2022 Although many algorithms perform very well on certain datasets, existing stereo matching algorithms still fail to obtain ideal disparity images with high precision in practical robotic applications with weak or untextured objects. This greatly limits the
Meng, Lingjiang, Wei, Hui
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives Focal cortical dysplasia (FCD) is the most common etiology of drug‐resistant epilepsy in children. Focal to bilateral tonic–clonic seizures (FBTCS) mark a high risk of drug‐resistant epilepsy and involve thalamocortical circuitry in their generation and propagation.
Hua Xie +8 more
wiley +1 more source