CVPR
2009
IEEE
15 years 4 months ago
2009
IEEE
This paper presents a novel approach to skim and describe 3D videos. 3D video is an imaging technology which consists in a stream of 3D models in motion captured by a synchronized ...
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CVPR
2009
IEEE
15 years 4 months ago
2009
IEEE
In this paper, we introduce a higher-order MRF optimization
framework. On the one hand, it is very general;
we thus use it to derive a generic optimizer that can be applied
to a...
CVPR
2009
IEEE
15 years 4 months ago
2009
IEEE
We introduce a new technique that can reduce any
higher-order Markov random field with binary labels into
a first-order one that has the same minima as the original.
Moreover, w...
CVPR
2009
IEEE
15 years 4 months ago
2009
IEEE
We propose a space-time Markov Random Field (MRF)
model to detect abnormal activities in video. The nodes in
the MRF graph correspond to a grid of local regions in the
video fra...
CVPR
2009
IEEE
15 years 4 months ago
2009
IEEE
This paper exploits the context of natural dynamic scenes
for human action recognition in video. Human actions
are frequently constrained by the purpose and the physical
propert...
CVPR
2009
IEEE
15 years 4 months ago
2009
IEEE
This paper describes a new algorithm for recovering the
3D shape and motion of deformable and articulated objects
purely from uncalibrated 2D image measurements using an
iterati...
CVPR
2009
IEEE
15 years 4 months ago
2009
IEEE
City environments often lack textured areas, contain
repetitive structures, strong lighting changes and therefore
are very difficult for standard 3D modeling pipelines.
We prese...
CVPR
2009
IEEE
15 years 4 months ago
2009
IEEE
Normalized Cut is a widely used technique for solving a
variety of problems. Although finding the optimal normalized
cut has proven to be NP-hard, spectral relaxations can
be ap...
CVPR
2009
IEEE
15 years 4 months ago
2009
IEEE
Most modern computer vision systems for high-level
tasks, such as image classification, object recognition and
segmentation, are based on learning algorithms that are
able to se...