27 search results - page 2 / 6 » What Value Covariance Information in Estimating Vision Param... |
IJCV
2000
13 years 9 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...
CVPR
2011
IEEE
13 years 6 months ago
2011
IEEE
Many successful models for predicting attention in a scene involve three main steps: convolution with a set of filters, a center-surround mechanism and spatial pooling to constru...
ECCV
2004
Springer
14 years 11 months ago
2004
Springer
Low-level image processing algorithms generally provide noisy features that are far from being Gaussian. Medium-level tasks such as object detection must therefore be robust to out...
CVPR
2006
IEEE
14 years 3 months ago
2006
IEEE
We present a new, robust and computationally efficient method for estimating the probability density of the intensity values in an image. Our approach makes use of a continuous r...
IPMI
2009
Springer
14 years 10 months ago
2009
Springer
The evaluation of the quality of segmentations of an image, and the assessment of intra- and inter-expert variability in segmentation performance, has long been recognized as a dic...