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ICIP
2007
IEEE
14 years 3 months ago
Local Feature Extraction for Image Super-Resolution
The problem of image super-resolution from a set of low resolution multiview images has recently received much attention and can be decomposed, at least conceptually, into two con...
Loïc Baboulaz, Pier Luigi Dragotti
ICCV
2011
IEEE
12 years 8 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
CVPR
2010
IEEE
14 years 4 months ago
Hierarchical Convolutional Sparse Image Decomposition
Building robust low and mid-level image representations, beyond edge primitives, is a long-standing goal in vision. Many existing feature detectors spatially pool edge information...
Matthew Zeiler, Dilip Krishnan, Graham Taylor, Rob...
SG
2010
Springer
13 years 7 months ago
Automated Hedcut Illustration Using Isophotes
Abstract. In this work, we present an automated system for creating hedcut illustrations, portraits rendered using small image feature aligned dots (stipples). We utilize edge dete...
SungYe Kim, Insoo Woo, Ross Maciejewski, David S. ...
CVPR
2004
IEEE
14 years 14 days ago
Scale-Invariant Shape Features for Recognition of Object Categories
We introduce a new class of distinguished regions based on detecting the most salient convex local arrangements of contours in the image. The regions are used in a similar way to ...
Frédéric Jurie, Cordelia Schmid