187 search results - page 1 / 38 » A Robust Nonparametric Estimation Framework for Implicit Ima... |
ICVGIP
2004
13 years 5 months ago
2004
Robust model fitting is important for computer vision tasks due to the occurrence of multiple model instances, and, unknown nature of noise. The linear errors-in-variables (EIV) m...
CIVR
2005
Springer
13 years 9 months ago
2005
Springer
This paper describes a simple framework for automatically annotating images using non-parametric models of distributions of image features. We show that under this framework quite ...
DPHOTO
2009
13 years 2 months ago
2009
In this paper, we present a novel method for generating a background model from a sequence of images with moving objects. Our approach is based on non-parametric statistics and ro...
ECCV
2004
Springer
14 years 6 months ago
2004
Springer
Models of spatial variation in images are central to a large number of low-level computer vision problems including segmentation, registration, and 3D structure detection. Often, i...
MICCAI
2009
Springer
14 years 5 months ago
2009
Springer
Segmentation of medical images is commonly formulated as a supervised learning problem, where manually labeled training data are summarized using a parametric atlas. Summarizing th...