2348 search results - page 365 / 470 » Stochastic Mapping Frameworks |
185
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CVPR
2009
IEEE
16 years 11 months ago
2009
IEEE
We present a novel method for modeling dynamic visual
phenomena, which consists of two key aspects. First, the in-
tegral motion of constituent elements in a dynamic scene is
ca...
283
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CVPR
2009
IEEE
16 years 11 months ago
2009
IEEE
Markov random field (MRF, CRF) models are popular in
computer vision. However, in order to be computationally
tractable they are limited to incorporate only local interactions
a...
199
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CVPR
2009
IEEE
16 years 11 months ago
2009
IEEE
Many computer vision problems can be formulated in
a Bayesian framework with Markov Random Field (MRF)
or Conditional Random Field (CRF) priors. Usually, the
model assumes that ...
160
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CVPR
2009
IEEE
16 years 10 months ago
2009
IEEE
This article proposes a method for learning object templates
composed of local sketches and local textures, and
investigates the relative importance of the sketches and textures
...
137
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CVPR
1999
IEEE
16 years 6 months ago
1999
IEEE
This paper presents a framework for integrating multiple sensory data, sparse range data and dense depth maps from shape from shading in order to improve the 3D reconstruction of ...