In this paper we propose to analyze the variability of brain structures using principal component analysis (PCA). We rely on a data base of registered and segmented 3D MRI images of normal subjects. We propose to use as input of PCA sampled points on the surface of the considered objects, selected using uniformity criteria or based on mean and Gaussian curvatures. Results are shown on the later...

This paper presents a new method for supervised image classification. One or several landmarks are attached to each class, with the intention of characterizing it and discriminating it from the other classes. The different features, deduced from image primitives, and their relationships with the sets of images are structured and organized into a hierarchy thanks to an original method relying on...

This paper presents new methods to automatically build Point Distribution Models for faces represented in images. These models consider significant points of faces from several images and study them in order to obtain the mean shape of the object and the main modes of variation. Active Shape Models and Active Appearance Models use the Point Distribution Model to segment the modelled object in n...

Conventional Procrustes methods allow the analysis of morphology through the superimposition of one morphology onto another using the positions of landmark points. These methods are most useful for the comparison of pairs or small groups of specimens when it is of interest to describe one morphology in terms of deformation from another. When population analyses are of interest, generalized meth...

This report describes and evaluates the steps needed to perform modern model-based interpretation of the corpus callosum in MRI. The process is discussed from the initial landmark-free contours to fullfledged statistical models based on the Active Appearance Models framework. Topics treated include landmark placement, background modelling and multi-resolution analysis. Preliminary quantitative ...

Facial landmarks constitute the most compressed representation of faces and are known to preserve information such as pose, gender and facial structure present in the faces. Several works exist that attempt to perform high-level facerelated analysis tasks based on landmarks. In contrast, in this work, an attempt is made to tackle the inverse problem of synthesizing faces from their respective l...