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IVC
2007
107views more  IVC 2007»
15 years 3 months ago
A review of recent range image registration methods with accuracy evaluation
The three-dimensional reconstruction of real objects is an important topic in computer vision. Most of the acquisition systems are limited to reconstruct a partial view of the obj...
Joaquim Salvi, Carles Matabosch, David Fofi, Josep...
124
Voted
NECO
2007
115views more  NECO 2007»
15 years 2 months ago
Training Recurrent Networks by Evolino
In recent years, gradient-based LSTM recurrent neural networks (RNNs) solved many previously RNN-unlearnable tasks. Sometimes, however, gradient information is of little use for t...
Jürgen Schmidhuber, Daan Wierstra, Matteo Gag...
DAGM
2010
Springer
15 years 1 months ago
3D Reconstruction Using an n-Layer Heightmap
We present a novel method for 3D reconstruction of urban scenes extending a recently introduced heightmap model. Our model has several advantages for 3D modeling of urban scenes: i...
David Gallup, Marc Pollefeys, Jan-Michael Frahm
IJPP
2010
156views more  IJPP 2010»
15 years 13 days ago
ForestGOMP: An Efficient OpenMP Environment for NUMA Architectures
Exploiting the full computational power of current hierarchical multiprocessor machines requires a very careful distribution of threads and data among the underlying non-uniform ar...
François Broquedis, Nathalie Furmento, Bric...
VC
2011
161views more  VC 2011»
14 years 10 months ago
A GPU framework for parallel segmentation of volumetric images using discrete deformable models
Despite the ability of current GPU processors to treat heavy parallel computation tasks, its use for solving medical image segmentation problems is still not fully exploited and re...
Jérôme Schmid, José Antonio Ig...
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