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VRIPHYS
2010
14 years 4 months ago
Optimization-based Fluid Simulation on Unstructured Meshes
We present a novel approach to fluid simulation, allowing us to take into account the surface energy in a precise manner. This new approach combines a novel, topology-adaptive app...
Marek Krzysztof Misztal, Robert Bridson, Kenny Erl...
90
Voted
TSP
2008
151views more  TSP 2008»
14 years 9 months ago
Reduce and Boost: Recovering Arbitrary Sets of Jointly Sparse Vectors
The rapid developing area of compressed sensing suggests that a sparse vector lying in a high dimensional space can be accurately and efficiently recovered from only a small set of...
Moshe Mishali, Yonina C. Eldar
ICCV
2001
IEEE
15 years 11 months ago
Robust Principal Component Analysis for Computer Vision
Principal Component Analysis (PCA) has been widely used for the representation of shape, appearance, and motion. One drawback of typical PCA methods is that they are least squares...
Fernando De la Torre, Michael J. Black
APWEB
2010
Springer
15 years 25 days ago
Computing Large Skylines over Few Dimensions: The Curse of Anti-correlation
The skyline of a set P of multi-dimensional points (tuples) consists of those points in P for which no clearly better point in P exists, using component-wise comparison on domains ...
Henning Köhler, Jing Yang
76
Voted
MVA
2000
234views Computer Vision» more  MVA 2000»
14 years 9 months ago
An automatic assessment scheme for steel quality inspection
This paper presents an automatic system for steel quality assessment, by measuring textural properties of carbide distributions. In current steel inspection, specially etched and p...
Klaus Wiltschi, Axel Pinz, Tony Lindeberg