27 search results - page 5 / 6 » Linear intensity-based image registration by Markov random f... |
CVPR
2009
IEEE
15 years 1 months ago
2009
IEEE
We study the cosegmentation problem where the objective
is to segment the same object (i.e., region) from a pair
of images. The segmentation for each image can be cast
using a p...
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
Image-based object modeling has emerged as an important computer vision application. Typically, the process starts with the acquisition of the image views of an object. These view...
CVPR
2012
IEEE
11 years 8 months ago
2012
IEEE
Depth ordering is instrumental for understanding the 3D geometry of an image. We as humans are surprisingly good ordering even with abstract 2D line drawings. In this paper we pro...
ICCV
2009
IEEE
14 years 10 months ago
2009
IEEE
In recent years the Markov Random Field (MRF) has
become the de facto probabilistic model for low-level vision
applications. However, in a maximum a posteriori
(MAP) framework, ...
MICCAI
2010
Springer
13 years 4 months ago
2010
Springer
In this paper we introduce a novel approach for inferring articulated spine models from images. A low-dimensional manifold embedding is created from a training set of prior mesh mo...