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» Motion Detail Preserving Optical Flow Estimation
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CVPR
2011
IEEE
14 years 8 months ago
A Polar Representation of Motion and Implications for Optical Flow
We explore a polar representation of optical flow in which each element of the brightness motion field is represented by its magnitude and orientation instead of its Cartesian p...
Yair Adato, Todd Zickler, Ohad Ben-Shahar
AIPR
2001
IEEE
15 years 3 months ago
Model-Based Face Tracking for Dense Motion Field Estimation
When estimating the dense motion field of a video sequence, if little is known or assumed about the content, a limited constraint approach such as optical flow must be used. Since...
Timothy F. Gee, Russell M. Mersereau
87
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ECCV
2004
Springer
16 years 1 months ago
A Feature-Based Approach for Determining Dense Long Range Correspondences
Planar motion models can provide gross motion estimation and good segmentation for image pairs with large inter-frame disparity. However, as the disparity becomes larger, the resul...
Josh Wills, Serge Belongie
CVPR
2008
IEEE
16 years 1 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
2008
IEEE
15 years 6 months ago
Camera motion filtering and its applications
Camera motion filtering is important in many applications, such as camera-based visual control interface on a mobile device. In this paper, we first present a robust global motion...
Jiang Gao