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CVPR
2008
IEEE
14 years 11 months ago
On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation
Linear inverse problems in computer vision, including motion estimation, shape fitting and image reconstruction, give rise to parameter estimation problems with highly correlated ...
Björn Andres, Claudia Kondermann, Daniel Kond...
ICPR
2000
IEEE
14 years 1 months ago
MRF Solutions for Probabilistic Optical Flow Formulations
In this paper we propose an efficient, non-iterative method for estimating optical flow. We develop a probabilistic framework that is appropriate for describing the inherent uncer...
Sébastien Roy, Venu Govindu
CVPR
1996
IEEE
14 years 11 months ago
Skin and Bones: Multi-layer, Locally Affine, Optical Flow and Regularization with Transparency
This paper describes a new method for estimating optical flow that strikes a balance between the flexibility of local dense computations and the robustness and accuracy of global ...
Shanon X. Ju, Michael J. Black, Allan D. Jepson
IROS
2006
IEEE
112views Robotics» more  IROS 2006»
14 years 3 months ago
Pose and Motion from Omnidirectional Optical Flow and a Digital Terrain Map
— An algorithm for pose and motion estimation using corresponding features in omnidirectional images and a digital terrain map is proposed. In previous paper, such algorithm for ...
Ronen Lerner, Oleg Kupervasser, Ehud Rivlin
MICCAI
2010
Springer
13 years 8 months ago
Model-Based Multi-view Fusion of Cinematic Flow and Optical Imaging
Bioluminescence imaging (BLI) offers the possibility to study and image biology at molecular scale in small animals with applications in oncology or gene expression studies. Here ...
Mickael Savinaud, Martin de La Gorce, Serge Maitre...