254 search results - page 9 / 51 » Bayesian structure from motion using inertial information |
CVPR
1999
IEEE
15 years 11 months ago
1999
IEEE
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
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EPIA
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. This paper presents a novel approach to analyze the appearance of human motions with a simple model i.e. mapping the motions using a virtual marionette model. The approac...
CVPR
2000
IEEE
15 years 11 months ago
2000
IEEE
A method is presented to recover 3D scene structure and camera motion from multiple images without the need for correspondence information. The problem is framed as finding the ma...
ECCV
2002
Springer
15 years 11 months ago
2002
Springer
In this paper, a Bayesian self-calibration approach using sequential importance sampling (SIS) is proposed. Given a set of feature correspondences tracked through an image sequenc...
CVPR
2000
IEEE
15 years 11 months ago
2000
IEEE
Inferring both 3D structure and motion of nonrigid objects from monocular images is an important problem in computational vision. The challenges stem not only from the absence of ...