Results 1 to 10 of about 12,149 (165)
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.
Xin Ma +4 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.
Zedong Huang +3 more
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A Fast Stereo Matching Network with Multi-Cross Attention [PDF]
Sensors, 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 ...
Ming Wei +5 more
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An Improved Stereo Matching Algorithm for Vehicle Speed Measurement System Based on Spatial and Temporal Image Fusion [PDF]
Entropy, 2021 This paper proposes an improved stereo matching algorithm for vehicle speed measurement system based on spatial and temporal image fusion (STIF). Firstly, the matching point pairs in the license plate area with obviously abnormal distance to the camera ...
Lei Yang +5 more
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A Comparison and Evaluation of Stereo Matching on Active Stereo Images [PDF]
Sensors, 2022 Mingyu Jang, Seongmin Lee, Jiwoo Kang
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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-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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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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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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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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