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DAGM
2006
Springer
13 years 11 months ago
Linear vs. Nonlinear Feature Combination for Saliency Computation: A Comparison with Human Vision
In the heart of the computer model of visual attention, an interest or saliency map is derived from an input image in a process that encompasses several data combination steps. Whi...
Nabil Ouerhani, Alexandre Bur, Heinz Hügli
CAE
2007
13 years 10 months ago
Aesthetics of Hand-Drawn vs. Computer-Generated Stippling
Recent work in non-photorealistic rendering has produced results comparable to hand-drawn artistic images. Inspiration for such techniques has come from many traditional artistic ...
Ross Maciejewski, Tobias Isenberg, William M. Andr...
ISCA
2010
IEEE
405views Hardware» more  ISCA 2010»
14 years 22 days ago
Debunking the 100X GPU vs. CPU myth: an evaluation of throughput computing on CPU and GPU
Recent advances in computing have led to an explosion in the amount of data being generated. Processing the ever-growing data in a timely manner has made throughput computing an i...
Victor W. Lee, Changkyu Kim, Jatin Chhugani, Micha...
BILDMED
2008
124views Algorithms» more  BILDMED 2008»
13 years 9 months ago
Non-equispaced Fourier Transform Vs. Polynomial-Based Metal Artifact Reduction in Computed Tomography
We propose a method, which treats metal artifact reduction in CT by sinogram restoration as a problem of scattered data interpolation. Corrupted sinogram entries are discarded and ...
Bärbel Kratz, Tobias Knopp, Jan Müller 0...
CVIU
2008
109views more  CVIU 2008»
13 years 7 months ago
Performance vs computational efficiency for optimizing single and dynamic MRFs: Setting the state of the art with primal-dual st
In this paper we introduce a novel method to address minimization of static and dynamic MRFs. Our approach is based on principles from linear programming and, in particular, on pr...
Nikos Komodakis, Georgios Tziritas, Nikos Paragios