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» Estimating Vision Parameters given Data with Covariances
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ECCV
2010
Springer
15 years 7 months ago
Joint Estimation of Motion, Structure and Geometry from Stereo Sequences
We present a novel variational method for the simultaneous estimation of dense scene flow and structure from stereo sequences. In contrast to existing approaches that rely on a ful...
Levi Valgaerts, Andrés Bruhn, Henning Zimme...
ICPR
2008
IEEE
16 years 11 days ago
Joint segmentation and registration of elastically deformable objects
We present a new approach to the general problem of template-based segmentation, detection, and registration. This joint problem is highly nonlinear and high dimensional, due to t...
Gilad Cohen, Joseph M. Francos, Rami Hagege
ICCV
2007
IEEE
16 years 7 months ago
The Joint Manifold Model for Semi-supervised Multi-valued Regression
Many computer vision tasks may be expressed as the problem of learning a mapping between image space and a parameter space. For example, in human body pose estimation, recent rese...
Ramanan Navaratnam, Andrew W. Fitzgibbon, Roberto ...
ECCV
1996
Springer
16 years 7 months ago
Elastically Adaptive Deformable Models
We present a novel technique for the automatic adaptation of a deformable model's elastic parameters within a Kalman filter framework for shape estimation applications. The no...
Dimitris N. Metaxas, Ioannis A. Kakadiaris
PAMI
2007
107views more  PAMI 2007»
15 years 5 months ago
Segmentation of Multivariate Mixed Data via Lossy Data Coding and Compression
—In this paper, based on ideas from lossy data coding and compression, we present a simple but effective technique for segmenting multivariate mixed data that are drawn from a mi...
Yi Ma, Harm Derksen, Wei Hong, John Wright