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» Dense Structure from a Dense Optical Flow Sequence
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SCALESPACE
2007
Springer
15 years 3 months ago
A Consistent Spatio-temporal Motion Estimator for Atmospheric Layers
In this paper, we address the problem of estimating mesoscale dynamics of atmospheric layers from satellite image sequences. Relying on a physically sound vertical decomposition of...
Patrick Héas, Étienne Mémin, ...
ICCV
2011
IEEE
13 years 9 months ago
Gaussian Process Regression Flow for Analysis of Motion Trajectories
Recognition of motions and activities of objects in videos requires effective representations for analysis and matching of motion trajectories. In this paper, we introduce a new r...
Kihwan Kim, Dongryeol Lee, Irfan Essa
CVPR
2004
IEEE
15 years 11 months ago
Error Analysis for a Navigation Algorithm Based on Optical-Flow and a Digital Terrain Map
This paper deals with the error analysis of a novel navigation algorithm that uses as input the sequence of images acquired from a moving camera and a Digital Terrain (or Elevatio...
Ehud Rivlin, Héctor Rotstein, Ronen Lerner
ICIP
2000
IEEE
15 years 11 months ago
Incremental Shape Reconstruction Using Stereo Image Sequences
The limitations of estimating structure from either stereo or motion alone can be addressed by the use of stereo image sequences; however, many existing techniques for processing ...
Tai Jing Moyung, Paul W. Fieguth
CVPR
2010
IEEE
15 years 5 months ago
Super-Resolution of Range Data in Dynamic Environments Using a Gaussian Framework
We present a flexible method for fusing information from optical and range sensors based on an accelerated highdimensional filtering approach. Our system takes as input a sequen...
Jennifer Dolson, Jongmin Baek, Christian Plagemann...