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CVPR
2007
IEEE
16 years 1 months ago
What makes a good model of natural images?
Many low-level vision algorithms assume a prior probability over images, and there has been great interest in trying to learn this prior from examples. Since images are very non G...
Yair Weiss, William T. Freeman
MM
2004
ACM
149views Multimedia» more  MM 2004»
15 years 5 months ago
An adaptive skin model and its application to objectionable image filtering
We propose an adaptive skin-detection method, which allows modelling and detection of the true skin-color pixels with significantly higher accuracy and flexibility than previous...
Qiang Zhu, Ching-Tung Wu, Kwang-Ting Cheng, Yi-Leh...
ACCV
2007
Springer
15 years 6 months ago
Image Segmentation Using Iterated Graph Cuts Based on Multi-scale Smoothing
We present a novel approach to image segmentation using iterated Graph Cuts based on multi-scale smoothing. We compute the prior probability obtained by the likelihood from a color...
Tomoyuki Nagahashi, Hironobu Fujiyoshi, Takeo Kana...
ICML
2006
IEEE
16 years 19 days ago
Local distance preservation in the GP-LVM through back constraints
The Gaussian process latent variable model (GP-LVM) is a generative approach to nonlinear low dimensional embedding, that provides a smooth probabilistic mapping from latent to da...
Joaquin Quiñonero Candela, Neil D. Lawrence
DAGM
2008
Springer
15 years 1 months ago
A Variational Approach to Adaptive Correlation for Motion Estimation in Particle Image Velocimetry
In particle image velocimetry (PIV) a temporally separated image pair of a gas or liquid seeded with small particles is recorded and analysed in order to measure fluid flows therei...
Florian Becker, Bernhard Wieneke, Jing Yuan, Chris...