Positioning System for a Hand-Held Mine Detector

Humanitarian mine clearance aims at reducing the nuisance of regions infected by explosive devices. These devices need to be detected with a high rate of success while keeping a low false alarm rate to reduce time losses and personnel’s fatigue. This chapter describes a positioning system developed to track hand-held detector movements in the context of close-range mine detection. With such a system, the signals captured by the detector over time can be used to build two- or three-dimensional data. The objects possibly present in the data can then be visually appreciated by an operator to detect specific features such as shape or size or known signatures. The positioning system developed in the framework of the HOPE European project requires only a camera and an extra bar. It adds few constraints to current mine clearance procedures and requires limited additional hardware. The software developed for calibration and continuous acquisition of the position is described, and evaluation results are presented

Remote Sensing for Non‐Technical Survey

This chapter describes the research activities of the Royal Military Academy on remote sensing applied to mine action. Remote sensing can be used to detect specific features that could lead to the suspicion of the presence, or absence, of mines. Work on the automatic detection of trenches and craters is presented here. Land cover can be extracted and is quite useful to help mine action. We present here a classification method based on Gabor filters. The relief of a region helps analysts to understand where mines could have been laid. Methods to be a digital terrain model from a digital surface model are explained. The special case of multi‐spectral classification is also addressed in this chapter. Discussion about data fusion is also given. Hyper‐spectral data are also addressed with a change detection method. Synthetic aperture radar data and its fusion with optical data have been studied. Radar interferometry and polarimetry are also addressed

The use of ORFEO ToolBox in the context of map updating

This paper presents experiments with the ORFEO ToolBox (OTB) developed by the CNES in the context of the Brussels project ARMURS about map updating. Depending on the availability of required functionalities, the project either considered the use of OTB or the development of proprietary or open source code. Since the project includes the development of a demonstrator for map updating from image analysis, the different aspects of data format, image processing for remote sensing and graphical interface are key points for the success of the system integration. As OTB addresses these topics, remains opened for extensions and is available as a freeware, it has been envisaged as a possible basic component.info:eu-repo/semantics/publishe

Authentification d'identité par analyse tridimensionnelle du visage

This thesis presents a complete approach for face recognition that exploits the volume information and its robustness in order to reduce the influences of viewpoint and illumination on performances. The main contributions of this work concern facial surface acquisition and recognition. Facial surfaces are conveniently captured with the so-called structured light technique. A precision in depth of about 1 mm satisfies facial comparison needs. The acquisition speed and the natural cooperation of the user fulfil elementary conditions of a practical implementation. The recognition of facial surfaces is carried out by geometrical comparison of profiles extracted by parallel planes. The intrinsic symmetry of the face allowed for the optimisation of profile matching. The geometrical information was combined with the comparison of grey levels measured in the images acquired for 3D capture.Cette thèse présente une approche complète de comparaison de visages 3D qui exploite l'information de volume et sa robustesse afin de réduire l'influence néfaste de l'angle de prise de vue et de l'illumination. Deux contributions majeures charpentent ce travail: l'acquisition et la comparaison de surfaces faciales. L'acquisition par projection de lumière structurée convient à la capture de surfaces faciales. La précision en profondeur de l'ordre de 1 mm satisfait au besoin en reconnaissance. La rapidité d'acquisition et la coopération naturelle du sujet remplissent les conditions élémentaires d'une utilisation pratique. La reconnaissance des surfaces faciales a été réalisée par comparaison géométrique de profils extraits par plans parallèles. La symétrie intrinsèque des visages a permis d'optimiser la mise en correspondance des profils. L'information géométrique a été combinée avec la comparaison de niveaux de gris mesurés dans les images acquises

Authentification d'identité par analyse tridimensionnelle du visage

PARIS-Télécom ParisTech (751132302) / SudocSudocFranceF

Automatic Profile Identification

This paper presents a practical implementation of a person verification system based on face profiles in a cooperative environment. The image acquisition constraints are given and motivated. A set of global and local features are automatically extracted from the profile outline of the head. The candidate profile is then compared with profiles of the database to issue a distance from which to accept or reject the claimed individual. To increase robustness, the temporal consistency of the decisions over several shots is examined, what is possible thanks to the overall speed of the developed system. Keywords: person verification, profile, curvature. 1. INTRODUCTION Computerized Face Recognition receives more and more interest as depicted by the ever growing number of papers 1 published in the field for a few years. Reasons such as security needs and computer improvements explain this phenomenon although face recognition has always intrigued brain researchers respective to this famous ..

Automatic Face Authentication from 3D surface

This paper presents automatic face authentication based on facial surface analysis. The success of a previous profile-based approach, exclusively relying on geometrical features of the external contour, led us to consider the full facial surface. This motivation was further supported by the independence of viewpoint and lighting conditions of 3D information. The geometry also carries information which is complementary to grey-level based approaches, supporting the combination with those techniques. The facial surface is captured by a system based on structured light and adapted to face to deliver a cheap, fast and sufficiently precise solution. Typical applications concern security in cooperative situations