1000 resultados para face asymmetry


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Ce mémoire est l'occasion d'établir une courte généalogie des femmes vampires au cinéma, en mettant en avant la manière dont la figure de la femme vampire résonne avec celle de la femme fatale, dans la mesure où elle constitue à la fois une vision négative de la femme émancipée, tout en offrant une manière d’échapper au modèle féminin traditionnel. En me demandant si le vampirisme peut être une source de pouvoir émancipatoire pour les femmes, j’analyse attentivement Byzantium (2012) de Neil Jordan. À travers l’étude successive des deux personnages principaux, Clara et Eleanor, je montre comment le film résonne avec la généalogie des femmes vampires établie préalablement, ainsi qu’avec certains enjeux féministes. Surtout, l’accent est mis sur la manière dont les personnages féminins contestent le pouvoir masculin, à travers la performance des stéréotypes, pour Clara, et la prise de contrôle du récit, pour Eleanor. Enfin, je me concentre sur la manière dont, à travers des mouvements de devenirs, ces personnages sortent du cycle fatal de l’oppression masculiniste, qui mène habituellement à l’extinction de la femme vampire en fin de récit, mais qui ici aboutit à une tentative de réconciliation entre les sexes. Mon travail s’appuie sur de larges recherches concernant la figure du vampire, ainsi que sur les études féministes et gender studies relatives aux textes vampiriques. Je m’appuie également sur les réflexions de Judith Butler, les travaux deleuziens sur la notion de « devenir », et les considérations de Derrida sur le don.

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Essai doctoral présenté à la Faculté des arts et des sciences en vue de l’obtention du grade de Doctorat en psychologie clinique (D.Psy.)

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Conférence présentée à la Faculté de théologie et de sciences des religions de l’Université de Montréal le 11 septembre 2013. © Jean Duhaime

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Le point de départ de cette étude est un sujet d’actualité qui fait l’objet de controverses au Québec depuis 2011 : le Plan Nord, un projet de développement économique visant la mise en valeur et l’exploitation des ressources naturelles au nord du Québec. En particulier, cette étude s’intéresse à la résistance des innu ishkueu (femmes innues) à ce projet, plus précisément dans un contexte d’exploitation minière. L’angle choisi est celui du parcours d’engagement des actrices participant à ces mouvements de résistance. L’analyse proposée s’appuie sur une enquête de terrain de trois mois, réalisée au sein des communautés de Uashat mak Mani- Utenam et Matimekush-Lac John, au cours de laquelle des entretiens semi-dirigés furent réalisés. Conjuguant les théories féministes autochtones, la notion de résistance au quotidien et l’étude des carrières militantes, cette recherche a pour objectif de démystifier certaines dimensions des voix politiques féminines innues dans la défense du territoire. Dans un premier temps, elle présente une perspective ethnohistorique de la résistance des femmes innues face à l’exploitation minière. Le but est de contribuer aux initiatives offrant une alternative à la version dominante de l’histoire minière du Québec (blanche, masculine), qui a doublement occulté les savoirs situés des femmes autochtones. Dans un second temps, elle s’attarde aux parcours d’engagement des femmes rencontrées et à leur engagement communautaire. Ceci nous a amené à examiner dans quelle mesure les modes d’action locale des femmes innues au sein de leur communauté se transfèrent dans la défense du territoire. Enfin, elle s’intéresse à la construction des subjectivités politiques des innu ishkueu en s’appuyant sur des repères théoriques situant la politique de résistance des femmes autochtones.

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The value of the lateral bending test is important in the assessment of spinal curve mobility and prediction of surgical outcome in the treatment of adolescent idiopathic scoliosis (AIS). However, radiographic bending tests are unable to assess the reducibility of trunk asymmetry. This study aims to exploit surface topography measurement in order to evaluate the changes in shape of the trunk (a) between bending and neutral standing positions, and (b) between standing pre- and post-operative visits, in a cohort of adolescents with AIS having undergone surgical correction; and to correlate the differences measured in cases (a) and (b). Our cohort includes 13 patients with right thoracic AIS. Each patient had their 3D trunk surface digitized with a multi-head InSpeck system in standing posture (at the pre-op and post-op visits) and in maximum voluntary right and left bending (at the pre-op visit). We developed a novel trunk shape analysis method which produces a set of inclined trunk cross-sections allowing comparison between different postures. Two asymmetry indices, trunk rotation (TR) and back surface rotation (BSR), were computed in all cases and a statistical analysis was performed. Our correlation study (Pearson test) showed fair correlations in most cases between the changes in side-bending and those post-surgery, with the strongest relationship (p-value < 0.01) when combining the TR measurements from both bendings. These results provide evidence that the bending test can be used to assess trunk asymmetry reducibility. The proposed approach could provide a non-invasive trunk asymmetry reducibility test for routine clinical use in AIS surgery planning.

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Study Design Cross-sectional descriptive study. Objectives To characterize breast asymmetry (BA), as defined by breast volume difference, in girls with significant adolescent idiopathic scoliosis (AIS), using magnetic resonance imaging (MRI). Summary and Background BA is a frequent concern among girls with AIS. It is commonly believed that this results from chest wall deformity. Although many women exhibit physiological BA, the prevalence is not known in adolescents and it remains unclear if it is more frequent in AIS. Breasts vary in shape and size and many ways of measuring them have been explored. MRI shows the highest precision at defining breast tissue. Methods Thirty patients were enrolled on the basis of their thoracic curvature, skeletal and breast maturity, without regard to their perception on their BA. MRI acquisitions were performed in prone with a 1.5-Tesla system using a 16-channel breast coil. Segmentation was achieved using the ITK-SNAP 2.4.0 software and subsequently manually refined. Results The mean left breast volume (528.32 ± 205.96 cc) was greater compared with the mean right breast volume (495.18 ± 170.16 cc) with a significant difference between them. The mean BA was found to be 8.32% ± 6.43% (p < .0001). A weak positive correlation was observed between BA and thoracic Cobb angle (0.177, p = .349) as well as thoracic gibbosity angle (0.289, p = .122). The left breast was consistently larger in 65.5% of the patients. Twenty patients (66.7%) displayed BA ≥5%. Conclusions We have described BA in patients with significant AIS using MRI. This method is feasible, objective, and very precise. The majority of patients had a larger left breast, which could compound the apparent BA secondary to trunk rotation. In many cases, BA is present independently of thoracic deformity. This knowledge will assist in counseling AIS patients in regards to their concerns with BA.

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Se situant au confluent du libéralisme politique rawlsien et de l’anthropologie néoaristotélicienne, l’approche des capabilités de Martha Nussbaum offre un cadre théorique permettant de répondre aux tensions multiculturelles. Cet article constitue une analyse détaillée de la réponse de Nussbaum à ces enjeux, qui prétend unir un pluralisme axiologique à un universalisme moral fort. Nous avancerons que la démarche entreprise par la philosophe porte une tension entre le libéralisme politique rawlsien et le cadre conceptuel apporté par la liste des capabilités. Cette liste pose une difficulté par le déficit démocratique de ses fondements, n’intégrant pas suffisamment des normes d’inclusion et de représentation. Dans un dernier temps, nous tenterons de pallier ces problèmes en intégrant à l’approche de Nussbaum des exigences délibératives.

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Any automatically measurable, robust and distinctive physical characteristic or personal trait that can be used to identify an individual or verify the claimed identity of an individual, referred to as biometrics, has gained significant interest in the wake of heightened concerns about security and rapid advancements in networking, communication and mobility. Multimodal biometrics is expected to be ultra-secure and reliable, due to the presence of multiple and independent—verification clues. In this study, a multimodal biometric system utilising audio and facial signatures has been implemented and error analysis has been carried out. A total of one thousand face images and 250 sound tracks of 50 users are used for training the proposed system. To account for the attempts of the unregistered signatures data of 25 new users are tested. The short term spectral features were extracted from the sound data and Vector Quantization was done using K-means algorithm. Face images are identified based on Eigen face approach using Principal Component Analysis. The success rate of multimodal system using speech and face is higher when compared to individual unimodal recognition systems

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In this paper we address the problem of face detection and recognition of grey scale frontal view images. We propose a face recognition system based on probabilistic neural networks (PNN) architecture. The system is implemented using voronoi/ delaunay tessellations and template matching. Images are segmented successfully into homogeneous regions by virtue of voronoi diagram properties. Face verification is achieved using matching scores computed by correlating edge gradients of reference images. The advantage of classification using PNN models is its short training time. The correlation based template matching guarantees good classification results

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n this paper we address the problem of face detection and recognition of grey scale frontal view images. We propose a face recognition system based on probabilistic neural networks (PNN) architecture. The system is implemented using voronoi/ delaunay tessellations and template matching. Images are segmented successfully into homogeneous regions by virtue of voronoi diagram properties. Face verification is achieved using matching scores computed by correlating edge gradients of reference images. The advantage of classification using PNN models is its short training time. The correlation based template matching guarantees good classification results.

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Climate change remains a major challenge for today’s and future societies due to its immense impacts on human lives and the natural environment. This thesis investigates the extent to which individuals are willing and prepared to voluntarily contribute to climate protection and to adjust to new climatic conditions in order to cope with the consequences of climate change and reduce the severity of potential negative impacts. The thesis thereby combines research in the fields of the private provision of environmental public goods and adaptation to climate change, which is still widely unconnected in the existing literature. The six contributions of this thesis mainly focus on microeconometric analyses using data from international surveys in China, Germany, and the USA. The main findings are: (i) A substantial share of individuals is willing to voluntarily contribute to climate protection and to adapt to climatic change. The engagement in both strategies is positively interrelated at the individual level and the analyses reveal hardly any evidence that adaptation activities crowd out individuals’ incentives to engage in climate protection. (ii) The main determinants of individuals’ adaptation activities seem to be the subjective risk perception as well as socio-economic and socio-demographic characteristics like age, gender, education, and income, while their climate protection efforts are found to be broadly motivated by financial advantages from these activities and additional immaterial benefits. (iii) The empirical findings also suggest a significantly positive relationship between certain climate protection activities. Substitutions are found to occur merely if one measure is perceived to be more effective in providing climate protection or if individuals have high environmental preferences. (iv) This thesis further reveals a common understanding of a (normatively) fair burden-sharing in international climate policy across citizens in China, Germany, and the USA. The highest preferences are found for the accountability principle.

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In this report, a face recognition system that is capable of detecting and recognizing frontal and rotated faces was developed. Two face recognition methods focusing on the aspect of pose invariance are presented and evaluated - the whole face approach and the component-based approach. The main challenge of this project is to develop a system that is able to identify faces under different viewing angles in realtime. The development of such a system will enhance the capability and robustness of current face recognition technology. The whole-face approach recognizes faces by classifying a single feature vector consisting of the gray values of the whole face image. The component-based approach first locates the facial components and extracts them. These components are normalized and combined into a single feature vector for classification. The Support Vector Machine (SVM) is used as the classifier for both approaches. Extensive tests with respect to the robustness against pose changes are performed on a database that includes faces rotated up to about 40 degrees in depth. The component-based approach clearly outperforms the whole-face approach on all tests. Although this approach isproven to be more reliable, it is still too slow for real-time applications. That is the reason why a real-time face recognition system using the whole-face approach is implemented to recognize people in color video sequences.

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We present an example-based learning approach for locating vertical frontal views of human faces in complex scenes. The technique models the distribution of human face patterns by means of a few view-based "face'' and "non-face'' prototype clusters. At each image location, the local pattern is matched against the distribution-based model, and a trained classifier determines, based on the local difference measurements, whether or not a human face exists at the current image location. We provide an analysis that helps identify the critical components of our system.

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Poggio and Vetter (1992) showed that learning one view of a bilaterally symmetric object could be sufficient for its recognition, if this view allows the computation of a symmetric, "virtual," view. Faces are roughly bilaterally symmetric objects. Learning a side-view--which always has a symmetric view--should allow for better generalization performances than learning the frontal view. Two psychophysical experiments tested these predictions. Stimuli were views of shaded 3D models of laser-scanned faces. The first experiment tested whether a particular view of a face was canonical. The second experiment tested which single views of a face give rise to best generalization performances. The results were compatible with the symmetry hypothesis: Learning a side view allowed better generalization performances than learning the frontal view.