MSCS: MeshStereo with Cross‐Scale Cost Filtering for fast stereo matching-Reference-Cited by-同舟云学术

MSCS: MeshStereo with Cross‐Scale Cost Filtering for fast stereo matching

Published:2018-05-18 Issue:6 Volume:12 Page:908-918
ISSN:1751-9640
Container-title:IET Computer Vision
language:en
Short-container-title:IET Computer Vision

Author:

Yao Peng¹²,Zhang Hua¹²³,Xue Yanbing¹²,Chen Shengyong¹²

Affiliation:

1. Key Laboratory of Computer Vision and System (Ministry of Education)Tianjin University of TechnologyTianjin300384People's Republic of China

2. Tianjin Key Laboratory of Intelligence Computing and Novel Software TechnologyTianjin University of TechnologyTianjin300384People's Republic of China

3. Tianjin Sino‐German University of Applied ScienceTianjin300350People's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cvi.2017.0599

Reference44 articles.

1. A Performance Study on Different Cost Aggregation Approaches Used in Real-Time Stereo Matching

2. Classification and evaluation of cost aggregation methods for stereo correspondence

3. Adaptive support-weight approach for correspondence search

4. Local stereo matching using geodesic support weights

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Structured support vector machine with coarse-to-fine PatchMatch filtering for stereo matching;The Visual Computer;2024-04-30

2. Stereo matching algorithm based on improved census transform and minimum spanning tree cost aggregation;Journal of Visual Communication and Image Representation;2024-02

3. The stereo matching algorithm based on an improved adaptive support window;IET Image Processing;2022-05-10

4. Sparse LIDAR Measurement Fusion with Joint Updating Cost for Fast Stereo Matching;ACM Transactions on Multimedia Computing, Communications, and Applications;2022-01-27

5. Stacking learning with coalesced cost filtering for accurate stereo matching;Journal of Visual Communication and Image Representation;2021-07