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AIPR
2001
IEEE
15 years 1 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
SCVMA
2004
Springer
15 years 3 months ago
A Generative Model of Dense Optical Flow in Layers
We introduce a generative model of dense flow fields within a layered representation of 3-dimensional scenes. Using probabilistic inference and learning techniques (namely, varia...
Anitha Kannan, Brendan J. Frey, Nebojsa Jojic
CVPR
2008
IEEE
15 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...
EMMCVPR
2009
Springer
15 years 4 months ago
Detection and Segmentation of Independently Moving Objects from Dense Scene Flow
We present an approach for identifying and segmenting independently moving objects from dense scene flow information, using a moving stereo camera system. The detection and segmen...
Andreas Wedel, Annemarie Meißner, Clemens Ra...
CVPR
2011
IEEE
14 years 5 months ago
Scene Flow Estimation by Growing Correspondence Seeds
A simple seed growing algorithm for estimating scene flow in a stereo setup is presented. Two calibrated and synchronized cameras observe a scene and output a sequence of image p...
Jan Cech, Jordi Sanchez-Riera, Radu Horaud