Search results for "forme"
showing 10 items of 1192 documents
3D shape recognition and matching for intelligent computer vision systems
2018
This thesis concerns recognition and matching of 3D shapes for intelligent computer vision systems. It describes two main contributions to this domain. The first contribution is an implementation of a new shape descriptor built on the basis of the spectral geometry of the Laplace-Beltrami operator; we propose an Advanced Global Point Signature (AGPS). This descriptor exploits the intrinsic structure of the object and organizes its information in an efficient way. In addition, AGPS is extremely compact since only a few eigenpairs were necessary to obtain an accurate shape description. The second contribution is an improvement of the wave kernel signature; we propose an optimized wave kernel …
Automatic recognition of tree species from 3D point clouds of forest plots
2014
The objective of the thesis is the automatic recognition of tree species from Terrestrial LiDAR data. This information is essential for forest inventory. As an answer, we propose different recognition methods based on the 3D geometric texture of the bark.These methods use the following processing steps: a preprocessing step, a segmentation step, a feature extraction step and a final classification step. They are based on the 3D data or on depth images built from 3D point clouds of tree trunks using a reference surface.We have investigated and tested several segmentation approaches on depth images representing the geometric texture of the bark. These approaches have the disadvantages of over…
Image-based detection and classification of allergenic pollen
2015
The correct classification of airborne pollen is relevant for medical treatment of allergies, and the regular manual process is costly and time consuming. An automatic processing would increase considerably the potential of pollen counting. Modern computer vision techniques enable the detection of discriminant pollen characteristics. In this thesis, a set of relevant image-based features for the recognition of top allergenic pollen taxa is proposed and analyzed. The foundation of our proposal is the evaluation of groups of features that can properly describe pollen in terms of shape, texture, size and apertures. The features are extracted on typical brightfield microscope images that enable…
Lie Detection: Remarks From Neuroethics
2016
El presente trabajo aborda los aspectos bioéticos derivados de los ya no tan recientes avances en Neurociencia cognitiva; especialmente las implicaciones que la introducción de las pruebas neurocientíficas en el proceso judicial penal, como la conocida técnica de detección de mentiras (prueba P.300) pueden acarrear. Como seguidamente veremos, el creciente desarrollo de la neuroimagen ha avivado la inquietud por la protección de la autonomía individual, la seguridad y la superación de interpretaciones reduccionistas contrarias a la dignidad de las personas. Cuestiones a las que están prestando atención los estudios de neuroética, los cuales, aunque empezaron su recorrido a finales de la déca…
From Knowledge to Action, Analysis of the Decision Making Process in Africa : the Case of the State Contract Teacher Policy
2011
Policy analysis in Africa has mainly focused on their evaluation. Now that several reforms are undertaken and that the progressive move toward democracy allows new actors to enter the political arena, it is useful to analyze how decisions on public issues are made. The dissertation examines the reform of the teacher recruitment policy in francophone Africa. The reform consisted in changing the teacher status in order to allow the government to pay a lower salary to new teachers. The drawbacks of the usual policy and research from the area of economics of education demonstrating that the reform was necessary put the issue on the agenda. If many countries adopted it, some have not. Factors th…
Modelling the regenerative niche: a major challenge in biomaterials research
2015
By definition, biomaterials are developed for clinical application. In the field of regenerative medicine their principal function is to play a significant, and, if possible, an instructive role in tissue healing. In the last analysis the latter involves targeting the 'regenerative niche'. The present paper will address the problem of simulating this niche in the laboratory and adopts a life science approach involving the harnessing of heterotypic cellular communication to achieve this, that is, the ability of cells of different types to mutually influence cellular functions. Thus, co-culture systems using human cells are the methodological focus and will concern four exemplary fields of re…
Irene Scaturro, «Il teatro di Anne Bogart. L’attore, il training, la regia»
2016
In 1992, Anne Bogart creates Saratoga International together with Tadashi Suzuki Theater Institute and the SITI Company, co-directed by Bogart, Ellen Lauren and Leon Ingulsrud. In the years of greatest ferment of the avant-gardes in New York, Anne Bogart becomes the most authoritative expression of an artistic movement that combines the art of theater with theory and not the practice, thus it reaches its own technique that is governed by an ideology of practice. Arnold Aronsonsaw in the work of the Bogart the best expression of what he called the pastiche play. Over the years the Bogart’s style has confirmed and expanded the elements of the former experiments with Tadashi Suzuki, improving …
Il sistema sanitario siciliano: i tratti del cambiamento in atto
2011
Il saggio analizza la struttura, l'evoluzione e le performance del sistema sanitario regionale prestando particolare attenzione al doppio livello, quello della politica regionale e quello delle aziende provinciali. Il saggio analizza le dimensioni che hanno reso possibile le riforme del sistema sanitario e ne evidenzia le zone d'ombra.
La réforme conservatrice chez René de la Tour-du-Pin
2013
International audience
Contribution à l’apprentissage de représentation de données à base de graphes avec application à la catégorisation d’images
2020
Graph-based Manifold Learning algorithms are regarded as a powerful technique for feature extraction and dimensionality reduction in Pattern Recogniton, Computer Vision and Machine Learning fields. These algorithms utilize sample information contained in the item-item similarity and weighted matrix to reveal the intrinstic geometric structure of manifold. It exhibits the low dimensional structure in the high dimensional data. This motivates me to develop Graph-based Manifold Learning techniques on Pattern Recognition, specially, application to image categorization. The experimental datasets of thesis correspond to several categories of public image datasets such as face datasets, indoor and…