1427 search results - page 25 / 286 » Markov Random Field Modeling in Computer Vision |
PAMI
2010
13 years 6 months ago
2010
The notion of using context information for solving high-level vision and medical image segmentation problems has been increasingly realized in the field. However, how to learn a...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
Matching and registration of shapes is a key issue in Computer Vision, Pattern Recognition, and Medical Image Analysis. This paper presents a shape representation framework based ...
CVPR
2006
IEEE
14 years 1 months ago
2006
IEEE
In this paper, we present a generative model based approach to solve the multi-view stereo problem. The input images are considered to be generated by either one of two processes:...
EMNLP
2006
13 years 9 months ago
2006
Markov order-1 conditional random fields (CRFs) and semi-Markov CRFs are two popular models for sequence segmentation and labeling. Both models have advantages in terms of the typ...
Publication
Drawbacks of the traditional scenario of image modeling by Gibbs random fields with multiple pairwise pixel interactions are outlined, and a more reasonable alternative scenario b...