1 We propose to use statistical models of shape and texture as deformable anatomical atlases. By training on sets of labelled examples these can represent both the mean structure a...
Timothy F. Cootes, C. Beeston, Gareth J. Edwards, ...
In this work we propose a new supervised deformable model that generalizes the classical contour-based snake. This model is defined to deform in a feature space generated by a se...
In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...
This paper presents a novel algorithm for unsupervised texture segmentation. We incorporate a set of texture features under a segmentation framework, based on the active contour w...
In this paper we present an improved Active Shape Model (ASM) for facial features extraction. The original ASM developed by Cootes et al. [1] suffers from factors such as, poor mod...
Mohammad H. Mahoor, Mohamed Abdel-Mottaleb, A-Nass...