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» Learning epipolar geometry from image sequences
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IVC
2000
104views more  IVC 2000»
15 years 3 months ago
Learning spatio-temporal patterns for predicting object behaviour
Rule-based systems employed to model complex object behaviours, do not necessarily provide a realistic portrayal of true behaviour. To capture the real characteristics in a specif...
Neil Sumpter, Andrew J. Bulpitt
CVPR
2006
IEEE
15 years 10 months ago
Specular Flow and the Recovery of Surface Structure
In scenes containing specular objects, the image motion observed by a moving camera may be an intermixed combination of optical flow resulting from diffuse reflectance (diffuse ...
Stefan Roth, Michael J. Black
CVPR
2010
IEEE
15 years 9 months ago
Learning Appearance in Virtual Scenarios for Pedestrian Detection
Detecting pedestrians in images is a key functionality to avoid vehicle-to-pedestrian collisions. The most promising detectors rely on appearance-based pedestrian classifiers tra...
Francisco Marin Tur, David Vazquez, David Geronimo...
CORR
2010
Springer
103views Education» more  CORR 2010»
15 years 3 months ago
Spatially-Adaptive Reconstruction in Computed Tomography Based on Statistical Learning
We propose a direct reconstruction algorithm for Computed Tomography, based on a local fusion of a few preliminary image estimates by means of a non-linear fusion rule. One such ru...
Joseph Shtok, Michael Zibulevsky, Michael Elad
ICPR
2000
IEEE
15 years 7 months ago
Efficient Super-Resolution and Applications to Mosaics
Mosaicingand super resolution are two ways to combine information from multiple frames in video sequences. Mosaicing displays the information of multiple frames in a single panora...
Assaf Zomet, Shmuel Peleg