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» Statistical Models of Appearance for Computer Vision
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ICPR
2008
IEEE
15 years 9 months ago
A Mixed Markov model for change detection in aerial photos with large time differences
In the paper we propose a novel multi-layer Mixed Markov model for detecting relevant changes in registered aerial images taken with significant time differences. The introduced ...
Csaba Benedek, Tamás Szirányi
ICPR
2000
IEEE
16 years 4 months ago
Terrain Modeling in Synthetic Aperture Radar Images Using Shape-from-Shading
In this paper we introduce a new approach for recovering shape-from-shading (SFS) from synthetic aperture radar (SAR) images of the terrain. Three contributions are proposed. Firs...
Adrian G. Bors, Edwin R. Hancock, Richard C. Wilso...
ICCV
2001
IEEE
16 years 5 months ago
BraMBLe: A Bayesian Multiple-Blob Tracker
Blob trackers have become increasingly powerful in recent years largely due to the adoption of statistical appearance models which allow effective background subtraction and robus...
Michael Isard, John MacCormick
ICIP
2001
IEEE
16 years 4 months ago
DWT based non-parametric texture modeling
We propose a non-parametric texture modeling and synthesis technique based on the integer version of the Discrete Wavelet Transform (DWT). The successive levels of the DWT pyramid...
Gloria Menegaz
ICPR
2008
IEEE
15 years 9 months ago
A hybrid approach to gender classification from face images
Recently, gender classification from face images has attracted a great deal of attention. It can be useful in many places. In this paper, a novel hybrid face coding method by fusi...
Ziyi Xu, Li Lu, Pengfei Shi