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» Generic Scene Recovery Using Multiple Images
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ECCV
2008
Springer
15 years 1 months ago
Compressive Sensing for Background Subtraction
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....
CVPR
2010
IEEE
14 years 7 months ago
Building Reconstruction using Manhattan-World Grammars
We present a passive computer vision method that exploits existing mapping and navigation databases in order to automatically create 3D building models. Our method defines a gramm...
Carlos Vanegas, Daniel Aliaga, Bedrich Benes
ICPR
2004
IEEE
15 years 7 days ago
Extending Dynamic Range of Two Color Images under Different Exposures
We present a method of extending the dynamic range of an picture with two different exposure images. Since pictures under different exposure times show different scene dynamic ran...
Ki-Sang Hong, Won-ho Cho
ICCV
1999
IEEE
15 years 1 months ago
Segmentation of Salient Closed Contours from Real Images
Using a saliency measure based on the global property of contour closure, we have developed a method that reliably segments out salient contours bounding unknown objects from real...
Shyjan Mahamud, Karvel K. Thornber, Lance R. Willi...
ISBI
2007
IEEE
14 years 5 months ago
Multiview Registration of Cardiac Tagging Mri Images
This paper introduces a new method based on k-Nearest Neighbors Graphs (KNNG) for bringing into alignment multiple views of the same scene acquired at two different time points. T...
Estanislao Oubel, Mathieu De Craene, Mattia Gazzol...