This article discusses a possible method to use a small number, e.g. 5, of conventional 2D X-ray images to reconstruct multiple 3D bone surfaces intraoperatively. Each bone’s edge contours in X-ray images are automatically identified. Sparse 3D landmark points of each bone are automatically reconstructed by pairing the 2D X-ray images. The reconstructed landmark point distribution on a surface ...

This paper presents a genetic approach to the problem of map topological clustering. Maps are symbolically represented as graphs whose vertices are landmarks in the environment. Clustering is performed according to a fitness function which takes functional requirements into account.

This paper address the problems of generating a low dimensional representation of the shape variation present in a set of shapes represented by a number of landmark points. First, we will present alternatives to the featured Least-Squares Procrustes alignment based on the L∞-norm and the L1-norm. Second, we will define a new shape decomposition based on the Maximum Autocorrelation Factor (MAF) ...

In highly regulated environments, where a set of norms defines accepted behaviour, protocols provide a way to reduce complexity by giving direct, step by step guidelines for behaviour, as long as the protocols comply with the norms. In this work we propose a formal framework to design a protocol from a normative specification. In order to be able to connect (descriptive) norms with (operational...

This paper presents a new method for supervised image classification. To each image set is attached a landmark with the aim to characterize and to distinguish it from each others. The different properties, 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 a mathematical formalism ca...