An ideal match? Investigating how well-suited Concurrent ML is to implementing Belief Propagation for Stereo Matching
<div>Belief Propagation, introduced by Judea Pearl, is a family of algorithms for computing marginal probabilities over Bayesian Networks and Markov Random Fields, and is explicitly based around concepts of message passing. In the context of Computer Vision, so-called Loopy Belief Propagation...
Saved in:
| 主要作者: | |
|---|---|
| 出版: |
2022
|
| 主题: | |
| 标签: |
添加标签
没有标签, 成为第一个标记此记录!
|