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» A general framework for low level vision
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EUROPAR
2001
Springer
13 years 11 months ago
A Component Framework for HPC Applications
Abstract. We describe a general component software framework designed for demanding grid environments that provides optimal performance for the assembled component application. Thi...
Nathalie Furmento, Anthony Mayer, Stephen McGough,...
CVPR
2007
IEEE
14 years 8 months ago
Modeling Appearances with Low-Rank SVM
Several authors have noticed that the common representation of images as vectors is sub-optimal. The process of vectorization eliminates spatial relations between some of the near...
Lior Wolf, Hueihan Jhuang, Tamir Hazan
WAPCV
2004
Springer
14 years 1 days ago
TarzaNN: A General Purpose Neural Network Simulator for Visual Attention Modeling
A number of computational models of visual attention exist, but making comparisons is difficult due to the incompatible implementations and levels at which the simulations are con...
Albert L. Rothenstein, Andrei Zaharescu, John K. T...
BMVC
2002
13 years 9 months ago
Low Density Feature Point Matching for Articulated Pose Identification
We describe a general algorithm for identifying an arbitrary pose of an articulated subject with low density feature points. The algorithm aims to establish a one-to-one correspon...
Horst Holstein, Baihua Li
CVPR
2009
IEEE
15 years 1 months ago
Continuous Maximal Flows and Wulff Shapes: Application to MRFs
Convex and continuous energy formulations for low level vision problems enable efficient search procedures for the corresponding globally optimal solutions. In this work we exte...
Christopher Zach (UNC Chapel Hill), Marc Niethamme...