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ICMLA
2007
13 years 10 months ago
Uncertainty optimization for robust dynamic optical flow estimation
We develop an optical flow estimation framework that focuses on motion estimation over time formulated in a Dynamic Bayesian Network. It realizes a spatiotemporal integration of ...
Volker Willert, Marc Toussaint, Julian Eggert, Edg...
CRV
2004
IEEE
146views Robotics» more  CRV 2004»
14 years 13 days ago
Estimating Camera Motion through a 3D Cluttered Scene
Previous methods for estimating the motion of an observer through a static scene require that image velocities can be measured. For the case of motion through a cluttered 3D scene...
Richard Mann, Michael S. Langer
VLSISP
2008
132views more  VLSISP 2008»
13 years 8 months ago
Serial and Parallel FPGA-based Variable Block Size Motion Estimation Processors
H.264/AVC is the latest video coding standard adopting variable block size motion estimation (VBS-ME), quarter-pixel accuracy, motion vector prediction and multi-reference frames f...
Brian M. H. Li, Philip Heng Wai Leong
ICASSP
2010
IEEE
13 years 9 months ago
Compressive sensing and differential image-motion estimation
Compressive-sensing cameras are an important new class of sensors that have different design constraints than standard cameras. Surprisingly, little work has explored the relation...
Nathan Jacobs, S. Schuh, Robert Pless
ICIP
2006
IEEE
14 years 10 months ago
A Minimum-Entropy Procedure for Robust Motion Estimation
We focus on motion estimation using a block matching approach and suggest using a minimum-entropy criterion. Many entropy-based estimation procedures exist, such as plug-in estima...
Sylvain Boltz, Eric Wolsztynski, Eric Debreuve, Er...