308 search results - page 60 / 62 » Multiscale Conditional Random Fields for Image Labeling |
MICCAI
2008
Springer
14 years 9 months ago
2008
Springer
In this paper we present a fully automated approach to the segmentation of pediatric brain tumors in multi-spectral 3-D magnetic resonance images. It is a top-down segmentation app...
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
The goal of this work is to find all people in archive films. Challenges include low image quality, motion blur, partial occlusion, non-standard poses and crowded scenes. We base ...
ECCV
2008
Springer
14 years 10 months ago
2008
Springer
We consider the problem of estimating 3-d structure from a single still image of an outdoor urban scene. Our goal is to efficiently create 3-d models which are visually pleasant. W...
ECCV
2006
Springer
14 years 10 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 10 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...