Sciweavers

133 search results - page 6 / 27
» An Adaptive Variational Model for Image Decomposition
Sort
View
SIAMSC
2008
237views more  SIAMSC 2008»
14 years 11 months ago
A Variational Shape Optimization Approach for Image Segmentation with a Mumford--Shah Functional
We introduce a novel computational method for a Mumford-Shah functional, which decomposes a given image into smooth regions separated by closed curves. Casting this as a shape opti...
Günay Dogan, Pedro Morin, Ricardo H. Nochetto
VMV
2001
112views Visualization» more  VMV 2001»
15 years 29 days ago
Generation of Decomposition Hierarchies for Efficient Occlusion Culling of Large Polygonal Models
Efficient handling of large polygonal scenes has always been a challenging task and in recent years, view-frustum and occlusion culling have drawn a lot of attention for accomplis...
Michael Meißner, Dirk Bartz, Gordon Mül...
ICCV
2011
IEEE
13 years 11 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
ICIP
2009
IEEE
14 years 9 months ago
Best basis denoising with non-stationary wavelet packets
This article introduces a best basis search algorithm in a nonstationary (NS) wavelet packets dictionary. It computes an optimized labeled quad-tree that indexes the filters used ...
Nizar Ouarti, Gabriel Peyré
ICIP
2003
IEEE
16 years 1 months ago
Adaptively weighted update steps in motion compensated lifting based scalable video compression
Motion-compensated temporal wavelet decomposition is a useful framework for fully scalable video compression schemes. In this paper we propose a new approach to reduce the ghostin...
Nagita Mehrseresht, David Taubman