Truncated max-of-convex models
Truncated convex models (TCM) are a special case of pairwise random fields that have been widely used in computer vision. However, by restricting the order of the potentials to be at most two, they fail to capture useful image statistics. We propose a natural generalization of TCM to high-order rand...
| Main Authors: | , |
|---|---|
| Format: | Conference item |
| Published: |
Computer Vision Foundation
2017
|