Results 1 to 10 of about 109,180 (287)
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
doaj +3 more sources
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 Stereo is a prominent technique to infer dense depth maps from images, and deep learning further pushed forward the state-of-the-art, making end-to-end architectures unrivaled when enough data is available for training. However, deep networks suffer from
Mattoccia, Stefano +3 more
core +3 more sources
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
Approaches for Stereo Matching [PDF]
Modeling, Identification and Control, 1995 This review focuses on the last decade's development of the computational stereopsis for recovering three-dimensional information. The main components of the stereo analysis are exposed: image acquisition and camera modeling, feature selection, feature ...
Takouhi Ozanian
doaj +2 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source