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» Application of Level Set Methods in Computer Vision
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ICCV
2011
IEEE
14 years 2 months ago
Adaptive Deconvolutional Networks for Mid and High Level Feature Learning
We present a hierarchical model that learns image decompositions via alternating layers of convolutional sparse coding and max pooling. When trained on natural images, the layers ...
Matthew D. Zeiler, Graham W. Taylor, Rob Fergus
ICPR
2008
IEEE
15 years 9 months ago
Discrete Pulse Transform of images: Algorithm and applications
The Discrete Pulse Transform (DPT), a well known method for the analysis of signals, was recently extended to images. Here we propose an efficient algorithm generating DPT on a g...
Bobby Anguelov
ICCV
1995
IEEE
15 years 6 months ago
A Multi-Body Factorization Method for Motion Analysis
The structure-from-motion problem has been extensively studied in the field of computer vision. Yet, the bulk of the existing work assumes that the scene contains only a single m...
João Paulo Costeira, Takeo Kanade
ISVC
2009
Springer
15 years 9 months ago
Parallel 3D Image Segmentation of Large Data Sets on a GPU Cluster
In this paper, we propose an inherent parallel scheme for 3D image segmentation of large volume data on a GPU cluster. This method originates from an extended Lattice Boltzmann Mod...
Aaron Hagan, Ye Zhao
ICPR
2010
IEEE
15 years 6 months ago
Symbol Classification Using Dynamic Aligned Shape Descriptor
Shape representation is a difficult task because of several symbol distortions, such as occlusions, elastic deformations, gaps or noise. In this paper, we propose a new descriptor ...
Alicia Fornés, Sergio Escalera, Josep Llados, Ern...