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CVPR
2009
IEEE
1413views Computer Vision» more  CVPR 2009»
17 years 2 months ago
Learning Semantic Scene Models by Object Classification and Trajectory Clustering
The visual surveillance task is to monitor the activity of objects in a scene. In far-field settings (i.e., wide outdoor areas), the majority of visible activities are objects movi...
Hanqing Lu, Stan Z. Li, Tianzhu Zhang
CVPR
2009
IEEE
17 years 2 months ago
Capturing Multiple Illumination Conditions using Time and Color Multiplexing
Many vision and graphics problems such as relighting, structured light scanning and photometric stereo, need im- ages of a scene under a number of different illumination conditi...
Bert De Decker (Hasselt University), Jan Kautz (Un...
CVPR
2009
IEEE
17 years 2 months ago
Let the Kernel Figure it Out; Principled Learning of Pre-processing for Kernel Classifiers
Most modern computer vision systems for high-level tasks, such as image classification, object recognition and segmentation, are based on learning algorithms that are able to se...
Peter V. Gehler, Sebastian Nowozin
ICCV
2009
IEEE
17 years 4 days ago
Scene Shape Priors for Superpixel Segmentation
Unsupervised over-segmentation of an image into superpixels is a common preprocessing step for image parsing algorithms. Superpixels are used as both regions of support for feat...
Alastair P. Moore, Simon J. D. Prince, Jonathan Wa...
ICCV
2009
IEEE
17 years 4 days ago
The Self-Aware Matching Measure for Stereo
We revisit stereo matching functions, a topic that is considered well understood, from a different angle. Our goal is to discover a transformation that operates on the cost or s...
Philippos Mordohai