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» Statistical Models of Appearance for Computer Vision
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ECCV
2000
Springer
16 years 5 months ago
Unsupervised Learning of Models for Recognition
We present a method to learn object class models from unlabeled and unsegmented cluttered scenes for the purpose of visual object recognition. We focus on a particular type of mode...
Markus Weber, Max Welling, Pietro Perona
ICPR
2010
IEEE
15 years 10 months ago
An Information Extraction Model for Unconstrained Handwritten Documents
In this paper, a new information extraction system by statistical shallow parsing in unconstrained handwritten documents is introduced. Unlike classical approaches found in the li...
Simon Thomas, Clement Chatelain, Laurent Heutte, T...
CVPR
2008
IEEE
16 years 5 months ago
Nonlinear image representation using divisive normalization
In this paper, we describe a nonlinear image representation based on divisive normalization that is designed to match the statistical properties of photographic images, as well as...
Siwei Lyu, Eero P. Simoncelli
ICCV
2003
IEEE
16 years 5 months ago
Segmenting Foreground Objects from a Dynamic Textured Background via a Robust Kalman Filter
The algorithm presented in this paper aims to segment the foreground objects in video (e.g., people) given timevarying, textured backgrounds. Examples of time-varying backgrounds ...
Jing Zhong, Stan Sclaroff
BMVC
2001
15 years 5 months ago
Reactive Memories: An Interactive Talking-Head
We demonstrate a novel method for producing a synthetic talking head. The method is based on earlier work in which the behaviour of a synthetic individual is generated by referenc...
Vincent E. Devin, David Hogg