Real-time Global Stereo Matching Using Hierarchical Belief Propagation

By Qingxiong Yang, Liang Wang, Ruigang Yang, Shengnan Wang, Miao Liao, David Nistér. British Machine Vision Conference, 2006

305 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/976b07226714c09ceedadea93454b5cbe2de9283

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Luc Van Gool
2. Jitendra Malik
3. Xiaogang Wang
4. Ming-Hsuan Yang
5. Dacheng Tao
6. Andrew Zisserman
7. Trevor Darrell
8. Andrea Vedaldi

Citations in the corpus

• Review of Stereo Vision Algorithms: From Software to Hardware (2008, methodology): “Finally, one more algorithm that utilizes energy minimization, color segmentation, plane fitting and repeated application of hierarchical belief propagation is presented in (Yang et al. 2006b).”
• Holoportation: Virtual 3D Teleportation in Real-time (2016, background): “Depth from RGB stereo is another possible solution that has seen several advances in real-time depth estimation [51, 61, 56, 52].”
• Fusion of time-of-flight depth and stereo for high accuracy depth maps (2008, methodology): “The current state of the art in stereo matching is achieved by global optimization algorithms (e.g., [15, 13, 25 ]).”
• Hierarchical Deep Stereo Matching on High-Resolution Images (2019, methodology): “Our model reasons in a coarse-to-fine-manner, inspired by classic work on correspondence estimation in stereo and optical flow [1, 18, 39].”