1135 search results - page 122 / 227 » A probabilistic framework for image segmentation |
ICIP
2003
IEEE
14 years 9 months ago
2003
IEEE
In this paper we propose a generic framework based on Hidden Markov Models (HMMs) for recognition of individuals from their gait. The HMM framework is suitable, because the gait o...
PCI
2005
Springer
14 years 1 months ago
2005
Springer
A popular framework for the interpretation of image sequences is based on the layered model; see e.g. Wang and Adelson [8], Irani et al. [2]. Jojic and Frey [3] provide a generativ...
MICCAI
2006
Springer
14 years 9 months ago
2006
Springer
We propose a novel trace-based method to extract vessel axes from gray-scale angiograms without preliminary segmentations. Our method traces the axes on an optimization framework w...
MICCAI
2009
Springer
14 years 9 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...
ECCV
2006
Springer
14 years 10 months ago
2006
Springer
Abstract. This paper presents a novel approach to unsupervised texture segmentation that relies on a very general nonparametric statistical model of image neighborhoods. The method...