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15 years 9 months ago
Probabilistic Parameter Selection for Learning Scene Structure from Video
We present an online learning approach for robustly combining unreliable observations from a pedestrian detector to estimate the rough 3D scene geometry from video sequences of a...
Michael D. Breitenstein, Eric Sommerlade, Bastian ...
77
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ICASSP
2009
IEEE
15 years 4 months ago
Registration of multimodal data for estimating the parameters of an articulatory model
Being able to animate a speech production model with articulatory data would open applications in many domains. In this paper, we first consider the problem of acquiring articula...
M. Aron, Asterios Toutios, M.-O. Berger, E. Kerrie...
ICASSP
2008
IEEE
15 years 4 months ago
Generalized Gaussian Markov random field image restoration using variational distribution approximation
In this paper we propose novel algorithms for image restoration and parameter estimation with a Generalized Gaussian Markov Random Field prior utilizing variational distribution a...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...
ECCV
2004
Springer
15 years 11 months ago
Estimating Intrinsic Images from Image Sequences with Biased Illumination
We present a method for estimating intrinsic images from a fixed-viewpoint image sequence captured under changing illumination directions. Previous work on this problem reduces the...
Yasuyuki Matsushita, Stephen Lin, Sing Bing Kang, ...
ICCV
2003
IEEE
15 years 11 months ago
Towards Direct Recovery of Shape and Motion Parameters from Image Sequences
A novel procedure is presented to construct image-domain filters (receptive fields) that directly recover local motion and shape parameters. These receptive fields are derived fro...
Stephen Benoit, Frank P. Ferrie