Results 1 to 10 of about 19,336 (308)
Adaptive Deconvolution-Based Stereo Matching Net for Local Stereo Matching [PDF]
Applied Sciences, 2022 In deep learning-based local stereo matching methods, larger image patches usually bring better stereo matching accuracy. However, it is unrealistic to increase the size of the image patch size without restriction. Arbitrarily extending the patch size will change the local stereo matching method into the global stereo matching method, and the matching ...
Xin Ma +4 more
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A Comparison and Evaluation of Stereo Matching on Active Stereo Images [PDF]
Sensors, 2022 Jiwoo Kang +2 more
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A stereo matching algorithm based on the improved PSMNet. [PDF]
PLoS One, 2021 Deep learning based on a convolutional neural network (CNN) has been successfully applied to stereo matching. Compared with the traditional method, the speed and accuracy of this method have been greatly improved.
Huang Z, Gu J, Li J, Yu X.
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Omnidirectional Stereo Vision Study from Vertical and Horizontal Stereo Configuration
Emitter: International Journal of Engineering Technology, 2022 In stereo vision, an omnidirectional camera has high distortion compared to a standard camera, so the camera calibration is very decisive in its stereo matching.
Husein Aji Pratama +2 more
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A Fast Stereo Matching Network with Multi-Cross Attention. [PDF]
Sensors (Basel), 2021 Stereo matching networks based on deep learning are widely developed and can obtain excellent disparity estimation. We present a new end-to-end fast deep learning stereo matching network in this work that aims to determine the corresponding disparity ...
Wei M +5 more
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A-SATMVSNet: An attention-aware multi-view stereo matching network based on satellite imagery
Frontiers in Earth Science, 2023 Introduction: The stereo matching technology of satellite imagery is an important way to reconstruct real world. Most stereo matching technologies for satellite imagery are based on depth learning.
Li Lin +5 more
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ISPRS International Journal of Geo-Information, 2021 To obtain effective indoor moving target localization, a reliable and stable moving target localization method based on binocular stereo vision is proposed in this paper.
Jing Ding, Zhigang Yan, Xuchen We
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Survey of Binocular Stereo-matching Methods Based on Deep Learning [PDF]
Jisuanji gongcheng, 2022 Binocular stereo matching is a classical problem in the field of computer vision and has been widely used in many tasks such as automated driving, remote sensing, and robot perception.The main goal of binocular stereo matching is to identify the ...
YIN Chenyang, ZHI Henghui, LI Huibin
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Bidirectional Stereo Matching Network With Double Cost Volumes
IEEE Access, 2021 In stereo matching, the high-quality cost volume is the key to improve the matching accuracy. Current stereo matching networks only use traditional methods or neural networks to generate one or more cost volumes.
Xiaogang Jia, Wei Chen, Zhengfa Liang
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Research and Development of Binocular Stereo Matching Algorithm
Jisuanji kexue yu tansuo, 2020 Binocular stereo vision has the advantages of low cost and wide applicability. It is extensively used in object recognition, object detection and has become the research focuses in the field of computer vision.
ZHAO Chenyuan, LI Wenxin, ZHANG Qingxi
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