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» Statistical Models of Appearance for Computer Vision
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148
Voted
ECCV
1992
Springer
15 years 7 months ago
Data and Model-Driven Selection using Color Regions
A key problem in model-based object recognition is selection, namely, the problem of determining which regions in the image are likely to come from a single object. In this paper w...
Tanveer Fathima Syeda-Mahmood
118
Voted
ICCV
1999
IEEE
16 years 5 months ago
Calibration of Hand-Held Camera Sequences for Plenoptic Modeling
In this contribution we focus on the calibration of very long image sequences from a hand-held camera that samples the viewing sphere of a scene. View sphere sampling is important...
Reinhard Koch, Marc Pollefeys, Benno Heigl, Luc J....
150
Voted
ICCV
2007
IEEE
15 years 10 months ago
Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval
Given a query image of an object, our objective is to retrieve all instances of that object in a large (1M+) image database. We adopt the bag-of-visual-words architecture which ha...
Ondrej Chum, James Philbin, Josef Sivic, Michael I...
118
Voted
ECCV
2006
Springer
16 years 5 months ago
Enhancing the Point Feature Tracker by Adaptive Modelling of the Feature Support
We consider the problem of tracking a given set of point features over large sequences of image frames. A classic procedure for monitoring the tracking quality consists in requirin...
Anthony Remazeilles, François Chaumette, Si...
143
Voted
ACCV
2007
Springer
15 years 9 months ago
Multiperspective Distortion Correction Using Collineations
We present a new framework for correcting multiperspective distortions using collineations. A collineation describes the transformation between the images of a camera due to change...
Yuanyuan Ding and Jingyi Yu