您当前的位置：
首页 >
文章列表页 >
Stereo Matching Method Based on Contextual Information-Geometric Feature Fusion and Fast Attention Cost Volume
Artificial Intelligence | 更新时间：2026-02-09

    • Stereo Matching Method Based on Contextual Information-Geometric Feature Fusion and Fast Attention Cost Volume

    • “The research progress in the field of computer vision was introduced, and relevant experts explored the topic of stereo matching, providing a new solution for solving the balance between accuracy and speed.”
    • Software Guide   Vol. 25, Issue 2, Pages: 36-45(2026)

    • DOI：10.11907/rjdk.241987    

      CLC： TP391.41

    • Received：31 December 2024，

      Published：26 February 2026

    移动端阅览

  • LI Hanling,HUANG Yingping.Stereo Matching Method Based on Contextual Information-Geometric Feature Fusion and Fast Attention Cost Volume[J].Software Guide,2026,25(02):36-45. DOI： 10.11907/rjdk.241987.

  •  
  •  

0

Views

0

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Application Research of Improved AD-Census Transform in Binocular Ranging
AGV Collision Risk Mitigation Method Based on Scene Understanding
Curriculum Reform of Computer Vision Based on Project-Driven and Interdisciplinary Integration——A Case Study of Remote Sensing Image Semantic Segmentation
Review of Surface Reconstruction of Disparity Information from Satellite Visible Light Imagery

Related Author

Xiao-yu YAN
Fan-fan LU
Lu-sheng GE
Xiao-yu YAN
Lu-sheng GE
Fan-fan LU
ZHOU Runmin
YANG Huan

Related Institution

School of Electrical and Information Engineering，Anhui University of Technology， Maanshan
School of Electrical and Information Engineering，Anhui University of Technology， Ma’anshan
School of Artificial Intelligence， South China Normal University
Key Laboratory of Water Resources Big Data of Ministry of Water Resources， Hohai University
School of Computer Science and Software Engineering， Hohai University
0