Results 11 to 20 of about 16,591 (312)
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
A Topology-Based Stereo Matching Method for One Shot 3D Measurement Using Coded Spot-Array Structured Light [PDF]
Sensors (Basel), 2021 Junhui Mei +4 more
openalex +2 more sources
Domain-Invariant Stereo Matching Networks [PDF]
, 2020 State-of-the-art stereo matching networks have difficulties in generalizing to new unseen environments due to significant domain differences, such as color, illumination, contrast, and texture. In this paper, we aim at designing a domain-invariant stereo matching network (DSMNet) that generalizes well to unseen scenes.
Zhang, F +5 more
openaire +2 more sources
Dense spatio‐temporal stereo matching for intelligent driving systems
IET Image Processing, 2021 This paper addresses the problem of matching stereo images acquired by a stereo system mounted aboard an intelligent vehicle. The main idea behind the new method consists in involving temporal matching between a current stereo pair and its preceding one ...
Zakaria Kerkaou +3 more
doaj +1 more source
IEEE Access, 2023 While stereo matching methods have great progress in recent years, they still face several formidable challenges. These challenges mainly include how to fully utilize global context and depth semantic information for depth feature extraction while ...
Bowen Jiao +4 more
doaj +1 more source
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 significant drops in accuracy when dealing with new environments.
M. Poggi +3 more
openaire +3 more sources
IET Computer Vision, 2022 Stereo matching is an important computer vision tool for three‐dimensional (3D) positioning, 3D visual representation, precision detection and recognition with 3D information.
Chih‐Hsuan Huang, Jar‐Ferr Yang
doaj +1 more source
EXPERIMENT ON PRODUCING DISPARITY MAPS FROM AERIAL STEREO IMAGES USING UNSUPERVISED AND SUPERVISED METHODS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Recent advancement in hardware and software provides the possibility of realizing full automation in stereo-image tasks. This paper investigated disparity map generation from aerial images with different methods: unsupervised method and supervised ...
L. Zhu +3 more
doaj +1 more source