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» On the Spatial Statistics of Optical Flow
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CVPR
2008
IEEE
13 years 9 months ago
Tracking rotating fluids in realtime using snapshots
We present a model-based system for tracking rotating fluids, and apply it to a laboratory study of atmospheric circulation. Tracking is accomplished by filtering uncertain and hi...
Sai Ravela, John Marshall, Christopher Hill, Andre...
TCSV
2010
13 years 2 months ago
Efficient Video Quality Assessment Along Temporal Trajectories
We propose a new video quality assessment (VQA) algorithm--the motion compensated structural similarity index-that assesses not only spatial quality but also quality along temporal...
Anush K. Moorthy, Alan Conrad Bovik
CVPR
2006
IEEE
14 years 9 months ago
Robust Tracking and Stereo Matching under Variable Illumination
Illumination inconsistencies cause serious problems for classical computer vision applications such as tracking and stereo matching. We present a new approach to model illuminatio...
Jingdan Zhang, Leonard McMillan, Jingyi Yu
CVPR
2010
IEEE
14 years 4 months ago
Segmenting Video Into Classes of Algorithm-Suitability
Given a set of algorithms, which one(s) should you apply to, i) compute optical flow, or ii) perform feature matching? Would looking at the sequence in question help you decide? I...
Oisin Mac Aodha, Gabriel Brostow, marc Pollefeys
ICPR
2008
IEEE
14 years 8 months ago
A local descriptor for finding corresponding points in vector fields
Vector fields may come from video data (via optical flow and tracking), from weather phenomena (e.g., wind speed and direction), and from medical imaging. An important component i...
H. Quynh Dinh, Liefei Xu