A multi-modality framework for forensic soft-facial reconstruction based on computed tomography CT and magnetic resonance imaging MRI is presented. CT is used to acquire a virtual representation of a skull find and MRI templates provide the desired soft tissue information to produce a facial likeness of a deceased individual. Two main strategies are described. The first is based on a regularize...

Common elastic registration schemes based on landmarks and radial basis functions (RBFs) such as thin-plate splines or multiquadrics are global. Here, we introduce radial basis functions with compact support for elastic registration of medical images which have an improved locality, i.e. which allow to constrain elastic deformations to image parts where required. We give the theoretical backgro...

Common elastic registration schemes based on landmarks and radial basis functions (RBFs) such as thin-plate splines or multiquadrics are global. Here, we introduce radial basis functions with compact support for elastic registration of medical images which have an improved locality, i.e. which allow to constrain elastic deformations to image parts where required. We give the theoretical backgro...

In this work, a novel and generic method for example-based color transfer is presented. The color transfer is formulated in two steps: first, an example-based Chromatic Adaptation Transform (CAT) has been designed to obtain an illuminant matching between input and example images. Second, the dominant colors of the input and example images are optimally mapped. The main strength of the method co...

Image morphing has been the subject of much attention in recent years. It has proven to be a powerful visual effects tool in film and television, depicting the fluid transformation of one digital image into another. This paper reviews the growth of this field and describes recent advances in image morphing in terms of three areas: feature specification, warp generation methods, and transition c...

In this paper, we propose a novel technique to address motion estimation and tracking. Such technique represents the motion field using a regular grid of thin-plate splines, and the moving objects using an implicit function on the image plane that is a cubic interpolation of a ”level set function” defined on this grid. Optical flow is determined through the deformation of the grid and consequen...

In the last years, there has been an increased investigation of efficient algorithms to solve problems of great scale. The main restriction of the traditional methods, like finite difference methods and finite element methods, is the mesh generation. In this work, we investigate the overlapping domain decomposition method applied to time dependent partial differential equations with unsymmetric...

We describe a novel approach for elastic matching of tomographic images of the human brain. The approach is based on a set of corresponding anatomical point landmarks and uses approximating thin-plate splines. Previous work on this topic has concentrated on using interpolation schemes which means that corresponding landmarks are exactly matched to each other. Consequently, the underlying assump...

This paper attempts to solve a basic problem in distributed statistical inference: how many machines can we use in parallel computing? In kernel ridge regression, we address this question in two important settings: nonparametric estimation and hypothesis testing. Specifically, we find a range for the number of machines under which optimal estimation/testing is achievable. The employed empirical...

Shape correspondence, which aims at accurately identifying corresponding landmarks from a given population of shape instances, is a very challenging step in constructing a statistical shape model such as the Point Distribution Model. Many shape correspondence methods are primarily focused on closedsurface shape correspondence. The authors of this chapter discuss the 3D Landmark Sliding method o...