60 search results - page 12 / 12 » Maximum likelihood mapping with spectral image registration |
CGF
2002
13 years 5 months ago
2002
Three-dimensional (3D) image acquisition systems are rapidly becoming more affordable, especially systems based on commodity electronic cameras. At the same time, personal compute...
ICIP
2004
IEEE
14 years 6 months ago
2004
IEEE
In this work, we propose an unsupervised Bayesian model for the detection of moving objects from dynamic scenes. This unsupervised solution is a three-step approach that uses a st...
CVPR
2008
IEEE
13 years 7 months ago
2008
IEEE
In photometric stereo a robust method is required to deal with outliers, such as shadows and non-Lambertian reflections. In this paper we rely on a probabilistic imaging model tha...
ECCV
1998
Springer
14 years 7 months ago
1998
Springer
Assume that some objects are present in an image but can be seen only partially and are overlapping each other. To recognize the objects, we have to rstly separate the objects from...
CVPR
2004
IEEE
14 years 7 months ago
2004
IEEE
Most tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework called Hidden Markov Model, where the distribution of the object state a...