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Villeneuve-la-Rivière, France

Morge M.,Laboratoire Dinformatique Fondamentale Of Lille | Picard G.,Ecole Nationale Superieure des Mines de Saint - Etienne CMP
Advances in Intelligent and Soft Computing

The assignment problem has a wide variety of applications and in particular, it can be applied to any two-sided market. In this paper, we propose a multi-agent framework to distributively solve this kind of assignment problems, by providing agents which negotiate with respect to their preferences. We present here a realisation of the minimal concession strategy. Our realisation of the minimal concession strategy has useful properties: it preserves the privacy and improves the optimality of the solution and the equity amongst the partners. © 2011 Springer-Verlag Berlin Heidelberg. Source

Craciun E.-G.,Stefan Cel Mare University of Suceava | Grisoni L.,Laboratoire Dinformatique Fondamentale Of Lille | Pentiuc S.-G.,Stefan Cel Mare University of Suceava | Rusu I.,Stefan Cel Mare University of Suceava
Advances in Electrical and Computer Engineering

The objective of this paper is to propose a new interface based on human gestures for simulation of assembly operation inside virtual environments. Using as a guide the current context for assembly simulation, we have analyzed the existing techniques used in developing gesture-based interface and extracted the constituent elements for an assembly gesture interface. The interface we propose offers support for assembly/disassembly operation, replace or delete components inside a virtual scene. To improve the current practice in virtual assembly simulation, our interface is an efficient method for assembly operations and a competitive approach for the current assembly simulation techniques. © 2013 AECE. Source

Ballihi L.,Laboratoire Dinformatique Fondamentale Of Lille | Ballihi L.,Mohammed V University | Ben Amor B.,Telecom Lille 1 | Daoudi M.,Telecom Lille 1 | And 2 more authors.
IEEE Transactions on Information Forensics and Security

We utilize ideas from two growing but disparate ideas in computer visionshape analysis using tools from differential geometry and feature selection using machine learningto select and highlight salient geometrical facial features that contribute most in 3-D face recognition and gender classification. First, a large set of geometries curve features are extracted using level sets (circular curves) and streamlines (radial curves) of the Euclidean distance functions of the facial surface; together they approximate facial surfaces with arbitrarily high accuracy. Then, we use the well-known Adaboost algorithm for feature selection from this large set and derive a composite classifier that achieves high performance with a minimal set of features. This greatly reduced set, consisting of some level curves on the nose and some radial curves in the forehead and cheeks regions, provides a very compact signature of a 3-D face and a fast classification algorithm for face recognition and gender selection. It is also efficient in terms of data storage and transmission costs. Experimental results, carried out using the FRGCv2 dataset, yield a rank-1 face recognition rate of 98% and a gender classification rate of 86% rate. © 2012 IEEE. Source

Martinet J.,Laboratoire Dinformatique Fondamentale Of Lille | Chiaramella Y.,Laboratoire Dinformatique Of Grenoble | Mulhem P.,Laboratoire Dinformatique Of Grenoble
Information Processing and Management

In this paper, we lay out a relational approach for indexing and retrieving photographs from a collection. The increase of digital image acquisition devices, combined with the growth of the World Wide Web, requires the development of information retrieval (IR) models and systems that provide fast access to images searched by users in databases. The aim of our work is to develop an IR model suited to images, integrating rich semantics for representing this visual data and user queries, which can also be applied to large corpora. Our proposal merges the vector space model of IR - widely tested in textual IR - with the conceptual graph (CG) formalism, based on the use of star graphs (i.e. elementary CGs made up of a single relation connected to some concepts representing image objects). A novel weighting scheme for star graphs, based on image objects size, position, and image heterogeneity is outlined. We show that integrating relations into the vector space model through star graphs increases the system's precision, and that the results are comparable to those from graph projection systems, and also that they shorten processing time for user queries. © 2010 Elsevier Ltd. All rights reserved. Source

Pentiuc St.Gh.,Laboratoire Dinformatique Fondamentale Of Lille | Craciun E.G.,Laboratoire Dinformatique Fondamentale Of Lille | Grisoni L.,Stefan Cel Mare University of Suceava
Elektronika ir Elektrotechnika

The main contribution of the paper is the concept, design and experimentation of an interface able to satisfy all the main function that the user needs to interact with VR environments. The interface was aimed to supply an unified gestural paradigm. It deals with video acquisition, image processing, features extraction and pattern classification. The results of the experiments with the posture and gesture recognizing application validated our approach. Ill. 3, bibl. 14 (in English; abstracts in English and Lithuanian). Source

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