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» Spatial Computing: The TOTA Approach
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CVPR
2009
IEEE
15 years 5 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
CVPR
2003
IEEE
15 years 6 hour ago
Motion Deblurring Using Hybrid Imaging
Motion blur due to camera motion can significantly degrade the quality of an image. Since the path of the camera motion can be arbitrary, deblurring of motion blurred images is a ...
Moshe Ben-Ezra, Shree K. Nayar
CVPR
2005
IEEE
15 years 5 hour ago
Histograms of Oriented Gradients for Human Detection
We study the question of feature sets for robust visual object recognition, adopting linear SVM based human detection as a test case. After reviewing existing edge and gradient ba...
Navneet Dalal, Bill Triggs
CVPR
2007
IEEE
15 years 5 hour ago
Resolving Objects at Higher Resolution from a Single Motion-blurred Image
Motion blur can degrade the quality of images and is considered a nuisance for computer vision problems. In this paper, we show that motion blur can in-fact be used for increasing...
Amit K. Agrawal, Ramesh Raskar
CVPR
2008
IEEE
15 years 4 hour ago
Beyond sliding windows: Object localization by efficient subwindow search
Most successful object recognition systems rely on binary classification, deciding only if an object is present or not, but not providing information on the actual object location...
Christoph H. Lampert, Matthew B. Blaschko, Thomas ...