19 search results - page 1 / 4 » Heteroscedastic Regression in Computer Vision: Problems with... |
IJCV
2000
13 years 4 months ago
2000
We present an algorithm to estimate the parameters of a linear model in the presence of heteroscedastic noise, i.e., each data point having a different covariance matrix. The algor...
PAMI
2006
13 years 4 months ago
2006
In an errors-in-variables (EIV) model, all the measurements are corrupted by noise. The class of EIV models with constraints separable into the product of two nonlinear functions, ...
CVPR
2000
IEEE
14 years 6 months ago
2000
IEEE
The Errors-in-Variables (EIV) model from statistics is often employed in computer vision thoughonlyrarely under this name. In an EIV model all the measurements are corrupted by no...
ECCV
2010
Springer
13 years 9 months ago
2010
Springer
This paper presents a unified approach to solve different bilinear factorization problems in Computer Vision in the presence of missing data in the measurements. The problem is f...
ECCV
2010
Springer
13 years 9 months ago
2010
Springer
Spoofing with photograph or video is one of the most common manner to circumvent a face recognition system. In this paper, we present a real-time and non-intrusive method to addre...