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CVPR
2009
IEEE
16 years 5 months ago
Nonparametric Scene Parsing: Label Transfer via Dense Scene Alignment
In this paper we propose a novel nonparametric approach for object recognition and scene parsing using dense scene alignment. Given an input image, we retrieve its best matches ...
Antonio B. Torralba, Ce Liu, Jenny Yuen
72
Voted
CVPR
2004
IEEE
16 years 6 days ago
Fast Wide Baseline Matching for Visual Navigation
A new and fast way to find local image correspondences for wide baseline image matching is described. The targeted application is visual navigation, e.g. of a semi-automatic wheel...
Luc J. Van Gool, Tinne Tuytelaars, Toon Goedem&eac...
CVPR
2004
IEEE
16 years 6 days ago
Probabilistic Parameter-Free Motion Detection
We propose an original probabilistic parameter-free method for the detection of independently moving objects in an image sequence. We apply a probabilistic perceptual principle, t...
Frédéric Cao, Patrick Bouthemy, Thom...
100
Voted
CVPR
2005
IEEE
16 years 6 days ago
A Sparse Object Category Model for Efficient Learning and Exhaustive Recognition
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a semisupervised manner: the model is learnt from example ...
Robert Fergus, Pietro Perona, Andrew Zisserman
CVPR
2007
IEEE
16 years 6 days ago
Robust Estimation of Texture Flow via Dense Feature Sampling
Texture flow estimation is a valuable step in a variety of vision related tasks, including texture analysis, image segmentation, shape-from-texture and texture remapping. This pap...
Yu-Wing Tai, Michael S. Brown, Chi-Keung Tang