Automatic car identification is very useful in traffic monitoring and control access applications that make it become relevant in recent years as a result of increased security awareness. Several computer systems were proposed to identify cars via different features such car plate recognition, car front view features, etc. Vision based car Make and Model Recognition (MMR) can overcome some limi...

Daily image guidance for helical tomotherapy prostate patients is based on the registration of pre-treatment megavoltage CT (MVCT) images and the original planning CT. The goal of registration, whether manual or automatic, is the overlap of the prostate; otherwise prostate misplacement may compromise the efficacy of treatment or lead to increased toxicity. A previous study demonstrated that wit...

Matching of semantic service descriptions is the key to automatic service discovery and binding. Existing approaches split the matchmaking process in two step: signature and specification matching. However, this leads to the problem that offers are not found although they are functionally suitable if their signature is not fitting the requested one. Therefore, in this paper, we propose a matchi...

Retrieve the structure of model and the motion of camera is a classical and hot topic in computer vision and photogrammetry. A lot of automatic or semiautomatic techniques have been developed to optimize the retrieving processing from accuracy, stability and reality perspectives. These techniques are variant from data source, feature selection for matching, feature clustering and 3D model repre...

7 Three-dimensional free form shape matching is a fundamental problem in both the machine vision and pattern recognition literatures. However, the automatic approach to 3D free form shape matching still remains open. In this paper, we propose using 9 k closest points in the second view for the automatic 3D free form shape matching. For the sake of computational efficiency, the optimised k-D tre...

A fingerprint matching is a very difficult problem. Minutiae-based-matching is the most popular and widely used technique for fingerprint matching. The minutiae points considered in automatic identification systems are based normally on termination and bifurcation points. In this paper we propose a new technique for fingerprint matching using minutiae points and genetic programming. The goal of...

In order to perform object modelling by using images processing procedures, line or feature extraction and stereo matching will be performed in general. However, there are some issues of efficient 3D modelling for historical structure. In particular, efficient line matching for reconstruction of objects is needed to be resolved. With this objective, this paper investigates a robust line matchin...

In this demo, we present the implementation of a novel Agent-based Modelling and Simulation approach for the Schema Matching problem called “Schema Matching Agent-based Simulation” (SMAS). Our solution aims at generating high quality schema matchings with minimum uncertainty. As far as we know, there is no previous literature describing a solution approaching the Automatic Schema Matching and M...

Ontology matching is the process of generating correspondences between terms of different ontologies. Today, several methods for ontology matching have been proposed, which makes difficult the choice of the most suitable to use in a particular setting. In this paper, we propose a novel ontology matching framework that uses automatic matchers recommendation to generate alignments. The differenti...

Automatic matching of job offers and job candidates is a major problem for a number of organizations and job applicants that if it were successfully addressed could have a positive impact in many countries around the world. In this context, it is widely accepted that semi-automatic matching algorithms between job and candidate profiles would provide a vital technology for making the recruitment...