Semi-global stereo matching algorithm based on multi-scale information fusion

C Deng, D Liu, H Zhang, J Li, B Shi - Applied Sciences, 2023 - mdpi.com
Semi-global matching (SGM) has been widely used in binocular vision. In spite of its good
efficiency, SGM still has difficulties in dealing with low-texture regions. In this paper, an SGM …

Coarse-to-fine stereo matching network based on multi-scale structural information filtrating

Y Bi, C Li, Q Zheng, G Wang, S Xu, W Wang - IEEE Access, 2023 - ieeexplore.ieee.org
Stereo vision measurement is widely applied in tasks such as autonomous driving and 3D
scene reconstruction. Accurately obtaining the disparity of stereo images relies on effective …

Method of Using RealSense Camera to Estimate the Depth Map of Any Monocular Camera

L Tu, Q Peng - Journal of Electrical and Computer Engineering, 2021 - Wiley Online Library
Robot detection, recognition, positioning, and other applications require not only real‐time
video image information but also the distance from the target to the camera, that is, depth …

Multiple attention networks for stereo matching

L Guo, H Duan, W Zhou - Multimedia Tools and Applications, 2021 - Springer
Recent studies have shown that stereo matching can be considered a supervised learning
task, in which several left and right images serve as inputs to the convolutional neural …

自适应纹理区域的多尺度融合立体匹配算法.

陈艺, 于纪言, 于洪森 - Journal of Computer Engineering & …, 2023 - search.ebscohost.com
针对传统立体匹配算法匹配精度低, 且单一代价函数不能同时应对**纹理区域,
弱纹理和无纹理区域的问题, 提出一种自适应纹理区域的多尺度融合立体匹配算法 …

[HTML][HTML] 基于多特征 SAD-Census 变换的立体匹配算法

吴福培, 黄耿楠, 刘宇豪, 叶玮琳, **昇** - Chinese Optics, 2024 - opticsjournal.net
摘要视差不连续区域和重复纹理区域的误匹配率高一直是影响双目立体匹配测量精度的主要
问题, 为此, 本文提出一种基于多特征融合的立体匹配算法. 首先, 在代价计算阶段 …