1411 search results - page 221 / 283 » Discriminative Random Fields |
ECCV
2006
Springer
14 years 9 months ago
2006
Springer
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...
ECCV
2006
Springer
14 years 9 months ago
2006
Springer
Abstract. Bottom-up approaches, which rely mainly on continuity principles, are often insufficient to form accurate segments in natural images. In order to improve performance, rec...
ECCV
2006
Springer
14 years 9 months ago
2006
Springer
Bottom-up segmentation based only on low-level cues is a notoriously difficult problem. This difficulty has lead to recent top-down segmentation algorithms that are based on class-...
ECCV
2006
Springer
14 years 9 months ago
2006
Springer
We present a dynamic near-regular texture (NRT) tracking algorithm nested in a lattice-based Markov-Random-Field (MRF) model of a 3D spatiotemporal space. One basic observation use...
ECCV
2006
Springer
14 years 9 months ago
2006
Springer
Abstract. We formulate a robust method using Expectation Maximization (EM) to address the problem of dense photometric stereo. Previous approaches using Markov Random Fields (MRF) ...