966 resultados para Facial expression recognition


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Réalisé sous la co-direction de Linda Booij, Catherine Herba et Patricia Garel

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La présentation antigénique par le complexe majeur d’histocompatibilité (MHC) I est un processus ubiquitaire permettant la présentation de protéines endogènes qui reflètent l'état de la cellule à la surface cellulaire aux lymphocytes T CD8+ dans le contexte de la surveillance et la réponse immunitaires. Ainsi, l'expression des molécules du MHC I classiques est induite en réponse aux stimuli inflammatoires afin de favoriser la reconnaissance immunitaire et l'élimination des pathogènes. HFE est une molécule du MHC Ib non-classique qui sert de régulateur négatif de l'absorption du fer. HFE est associé au développement de l'hémochromatose héréditaire (HH), maladie associée au métabolisme du fer mais souvent accompagnée de défauts immunitaires. Ainsi, nous avons en premier lieu étudié l'impact de HFE sur la présentation antigénique par MHC I, afin d'expliquer en partie les défauts immunitaires liés à l'HH associée à HFEC282Y. Puis, compte tenu de l'impact de l'inflammation sur l'expression des molécules du MHC I classiques, nous avons étudié la régulation de l'expression de HFE en réponse aux stimuli inflammatoires induits par les cellules du sang périphérique mononucléées (PBMC). Nous avons mis au point un système d’expression antigénique dans lequel nous contrôlons l’expression de MHC I, de HFE et d’un antigène pour lequel nous avons généré des lymphocytes T CD8+ spécifiques. Nos résultats démontrent que la forme sauvage de HFE (HFEWT), contrairement à sa forme mutée (HFEC282Y), inhibe la reconnaissance de complexes MHC I/peptide (pMHC). Nous avons également démontré que l'inhibition de la reconnaissance est maintenue, indépendamment des niveaux d'expression de MHC I à la surface, d'une compétition pour la β2-microglobuline, de la capacité de HFE d'interagir avec le récepteur de la transferrine, de l'origine de l'antigène ou de l'affinité de celui-ci. Par ailleurs, nous avons identifié les domaines α1-2 de HFEWT comme étant responsables de l'inhibition de la reconnaissance antigénique. Par contre, la reconnaissance de peptides chargés de manière externe sur les molécules du MHC I présentes à la surface n'a démontré aucune inhibition en présence de HFEWT, suggérant que HFEWT pourrait affecter la reconnaissance en interférant avec le processus d'apprêtement antigénique intracellulaire. À l’inverse, nous avons souhaité déterminer si les lymphocytes T activés pouvaient influencer les niveaux d'expression de HFE. En termes de régulation de l'expression de HFE, nous avons établi que HFE est exprimé dans les tissus sains chez l'humain et induit chez les lignées de cancers du colon, du sein, du poumon, du rein et du mélanome. Par ailleurs, en co-cultivant des lymphocytes T activés avec ces lignées tumorales, nous avons démontré que l'expression de HFE est fortement inhibée dans toutes ces lignées tumorales lorsqu'exposées à des lymphocytes T activés. Finalement, la modulation de l'expression de HFE est indépendante du contact cellulaire et semble médiée en partie par le GM-CSF, l'IFN-γ et le TNF. En somme, ces résultats suggèrent que les lymphocytes T de l'hôte modulent l'expression de HFE dans le microenvironnement inflammatoire, ce qui pourrait promouvoir la reconnaissance des antigènes présentés sur les molécules du MHC I présentées aux lymphocytes T CD8+ antigène-spécifiques. De plus, ces études soulèvent la possibilité d'un nouveau rôle physiologique de HFEWT dans la voie de présentation antigénique par MHC I, qui pourrait moduler l'immunogénicité des antigènes et la réponse immunitaire cellulaire chez l'hôte.

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Le virus de l’hépatite C (VHC) est un virus à ARN simple brin positif (ssARN) qui se replique dans le foie. Deux cents millions de personnes sont infectées par le virus dans le monde et environ 80% d’entre elles progresseront vers un stade chronique de l’infection. Les thérapies anti-virales actuelles comme l’interféron (IFN) ou la ribavirin sont de plus en plus utilisées mais ne sont efficaces que dans la moitié des individus traités et sont souvent accompagnées d’une toxicité ou d’effets secondaires indésirables. Le système immunitaire inné est essentiel au contrôle des infections virales. Les réponses immunitaires innées sont activées suite à la reconnaissance par les Pathogen Recognition Receptors (PRRs), de motifs macromoléculaires dérivés du virus appelés Pathogen-Associated Molecular Patterns (PAMPs). Bien que l'activation du système immunitaire par l'ARN ou les protéines du VHC ait été largement étudiée, très peu de choses sont actuellement connues concernant la détection du virus par le système immunitaire inné. Et même si l’on peut très rapidement déceler des réponses immunes in vivo après infection par le VHC, l’augmentation progressive et continue de la charge virale met en évidence une incapacité du système immunitaire à contrôler l’infection virale. Une meilleure compréhension des mécanismes d’activation du système immunitaire par le VHC semble, par conséquent, essentielle au développement de stratégies antivirales plus efficaces. Dans le présent travail nous montrons, dans un modèle de cellule primaire, que le génome ARN du VHC contient des séquences riches en GU capables de stimuler spécifiquement les récepteurs de type Toll (TLR) 7 et 8. Cette stimulation a pour conséquence la maturation des cellules dendritiques plasmacytoïdes (pDCs), le production d’interféron de type I (IFN) ainsi que l’induction de chémokines et cytokines inflammatoires par les différentes types de cellules présentatrices d’antigènes (APCs). Les cytokines produites après stimulation de monocytes ou de pDCs par ces séquences ssARN virales, inhibent la production du virus de façon dépendante de l’IFN. En revanche, les cytokines produites après stimulation de cellules dendritiques myéloïdes (mDCs) ou de macrophages par ces mêmes séquences n’ont pas d’effet inhibiteur sur la production virale car les séquences ssARN virales n’induisent pas la production d’IFN par ces cellules. Les cytokines produites après stimulation des TLR 7/8 ont également pour effet de diminuer, de façon indépendante de l’IFN, l’expression du récepteur au VHC (CD81) sur la lignée cellulaire Huh7.5, ce qui pourrait avoir pour conséquence de restreindre l’infection par le VHC. Quoiqu’il en soit, même si les récepteurs au VHC comme le CD81 sont largement exprimés à la surface de différentes sous populations lymphocytaires, les DCs et les monocytes ne répondent pas aux VHC, Nos résultats indiquent que seuls les macrophages sont capables de reconnaître le VHC et de produire des cytokines inflammatoires en réponse à ce dernier. La reconnaissance du VHC par les macrophages est liée à l’expression membranaire de DC-SIGN et l’engagement des TLR 7/8 qui en résulte. Comme d’autres agonistes du TLR 7/8, le VHC stimule la production de cytokines inflammatoires (TNF-α, IL-8, IL-6 et IL-1b) mais n’induit pas la production d’interféron-beta par les macrophages. De manière attendue, la production de cytokines par des macrophages stimulés par les ligands du TLR 7/8 ou les séquences ssARN virales n’inhibent pas la réplication virale. Nos résultats mettent en évidence la capacité des séquences ssARN dérivées du VHC à stimuler les TLR 7/8 dans différentes populations de DC et à initier une réponse immunitaire innée qui aboutit à la suppression de la réplication virale de façon dépendante de l’IFN. Quoiqu’il en soit, le VHC est capable d’échapper à sa reconnaissance par les monocytes et les DCs qui ont le potentiel pour produire de l’IFN et inhiber la réplication virale après engagement des TLR 7/8. Les macrophages possèdent quant à eux la capacité de reconnaître le VHC grâce en partie à l’expression de DC-SIGN à leur surface, mais n’inhibent pas la réplication du virus car ils ne produisent pas d’IFN. L’échappement du VHC aux défenses antivirales pourrait ainsi expliquer l’échec du système immunitaire inné à contrôler l’infection par le VHC. De plus, la production de cytokines inflammatoires observée après stimulation in vitro des macrophages par le VHC suggère leur potentielle contribution dans l’inflammation que l’on retrouve chez les individus infectés par le VHC.

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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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The central challenge in face recognition lies in understanding the role different facial features play in our judgments of identity. Notable in this regard are the relative contributions of the internal (eyes, nose and mouth) and external (hair and jaw-line) features. Past studies that have investigated this issue have typically used high-resolution images or good-quality line drawings as facial stimuli. The results obtained are therefore most relevant for understanding the identification of faces at close range. However, given that real-world viewing conditions are rarely optimal, it is also important to know how image degradations, such as loss of resolution caused by large viewing distances, influence our ability to use internal and external features. Here, we report experiments designed to address this issue. Our data characterize how the relative contributions of internal and external features change as a function of image resolution. While we replicated results of previous studies that have shown internal features of familiar faces to be more useful for recognition than external features at high resolution, we found that the two feature sets reverse in importance as resolution decreases. These results suggest that the visual system uses a highly non-linear cue-fusion strategy in combining internal and external features along the dimension of image resolution and that the configural cues that relate the two feature sets play an important role in judgments of facial identity.

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The effect of multiple sclerosis (MS) on the ability to identify emotional expressions in faces was investigated, and possible associations with patients’ characteristics were explored. 56 non-demented MS patients and 56 healthy subjects (HS) with similar demographic characteristics performed an emotion recognition task (ERT), the Benton Facial Recognition Test (BFRT), and answered the Hospital Anxiety and Depression Scale (HADS). Additionally, MS patients underwent a neurological examination and a comprehensive neuropsychological evaluation. The ERT consisted of 42 pictures of faces (depicting anger, disgust, fear, happiness, sadness, surprise and neutral expressions) from the NimStim set. An iViewX high-speed eye tracker was used to record eye movements during ERT. The fixation times were calculated for two regions of interest (i.e., eyes and rest of the face). No significant differences were found between MS and HC on ERT’s behavioral and oculomotor measures. Bivariate and multiple regression analyses revealed significant associations between ERT’s behavioral performance and demographic, clinical, psychopathological, and cognitive measures.

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Toll-like receptors (TLR) recognize microbial and viral patterns and activate dendritic cells (DC). TLR distribution among human DC subsets is heterogeneous: plasmacytoid DC (PDC) express TLR1, 7 and 9, while other DC types do not express TLR9 but express other TLR. Here, we report that mRNA for most TLR is expressed at similar levels by murine splenic DC sub-types, including PDC, but that TLR3 is preferentially expressed by CD8α+ DC while TLR5 and TLR7 are selectively absent from the same subset. Consistent with the latter, TLR7 ligand activates CD8α– DC and PDC, but not CD8α+ DC as measured by survival ex vivo, up-regulation of surface markers and production of IL-12p40. These data suggest that the dichotomy in TLR expression between plasmacytoid and non-plasmacytoid DC is not conserved between species. However, lack of TLR7 expression could restrict the involvement of CD8α+ DC in recognition of certain mouse pathogens.

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It has been proposed that there is a core impairment in autism spectrum conditions (ASC) to the mirror neuron system (MNS): If observed actions cannot be mapped onto the motor commands required for performance, higher order sociocognitive functions that involve understanding another person's perspective, such as theory of mind, may be impaired. However, evidence of MNS impairment in ASC is mixed. The present study used an 'automatic imitation' paradigm to assess MNS functioning in adults with ASC and matched controls, when observing emotional facial actions. Participants performed a pre-specified angry or surprised facial action in response to observed angry or surprised facial actions, and the speed of their action was measured with motion tracking equipment. Both the ASC and control groups demonstrated automatic imitation of the facial actions, such that responding was faster when they acted with the same emotional expression that they had observed. There was no difference between the two groups in the magnitude of the effect. These findings suggest that previous apparent demonstrations of impairments to the MNS in ASC may be driven by a lack of visual attention to the stimuli or motor sequencing impairments, and therefore that there is, in fact, no MNS impairment in ASC. We discuss these findings with reference to the literature on MNS functioning and imitation in ASC, as well as theories of the role of the MNS in sociocognitive functioning in typical development.

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Theory of mind ability has been associated with performance in interpersonal interactions and has been found to influence aspects such as emotion recognition, social competence, and social anxiety. Being able to attribute mental states to others requires attention to subtle communication cues such as facial emotional expressions. Decoding and interpreting emotions expressed by the face, especially those with negative valence, are essential skills to successful social interaction. The current study explored the association between theory of mind skills and attentional bias to facial emotional expressions. According to the study hypothesis, individuals with poor theory of mind skills showed preferential attention to negative faces over both non-negative faces and neutral objects. Tentative explanations for the findings are offered emphasizing the potential adaptive role of vigilance for threat as a way of allocating a limited capacity to interpret others’ mental states to obtain as much information as possible about potential danger in the social environment.

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In this article, we present FACSGen 2.0, new animation software for creating static and dynamic threedimensional facial expressions on the basis of the Facial Action Coding System (FACS). FACSGen permits total control over the action units (AUs), which can be animated at all levels of intensity and applied alone or in combination to an infinite number of faces. In two studies, we tested the validity of the software for the AU appearance defined in the FACS manual and the conveyed emotionality of FACSGen expressions. In Experiment 1, four FACS-certified coders evaluated the complete set of 35 single AUs and 54 AU combinations for AU presence or absence, appearance quality, intensity, and asymmetry. In Experiment 2, lay participants performed a recognition task on emotional expressions created with FACSGen software and rated the similarity of expressions displayed by human and FACSGen faces. Results showed good to excellent classification levels for all AUs by the four FACS coders, suggesting that the AUs are valid exemplars of FACS specifications. Lay participants’ recognition rates for nine emotions were high, and comparisons of human and FACSGen expressions were very similar. The findings demonstrate the effectiveness of the software in producing reliable and emotionally valid expressions, and suggest its application in numerous scientific areas, including perception, emotion, and clinical and euroscience research.

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Introduction: Observations of behaviour and research using eye-tracking technology have shown that individuals with Williams syndrome (WS) pay an unusual amount of attention to other people’s faces. The present research examines whether this attention to faces is moderated by the valence of emotional expression. Method: Sixteen participants with WS aged between 13 and 29 years (Mean=19 years 9 months) completed a dot-probe task in which pairs of faces displaying happy, angry and neutral expressions were presented. The performance of the WS group was compared to two groups of typically developing control participants, individually matched to the participants in the WS group on either chronological age or mental age. General mental age was assessed in the WS group using the Woodcock Johnson Test of Cognitive Ability Revised (WJ-COG-R; Woodcock & Johnson, 1989; 1990). Results: Compared to both control groups, the WS group exhibited a greater attention bias for happy faces. In contrast, no between-group differences in bias for angry faces were obtained. Conclusions: The results are discussed in relation to recent neuroimaging findings and the hypersocial behaviour that is characteristic of the WS population.

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Periocular recognition has recently become an active topic in biometrics. Typically it uses 2D image data of the periocular region. This paper is the first description of combining 3D shape structure with 2D texture. A simple and effective technique using iterative closest point (ICP) was applied for 3D periocular region matching. It proved its strength for relatively unconstrained eye region capture, and does not require any training. Local binary patterns (LBP) were applied for 2D image based periocular matching. The two modalities were combined at the score-level. This approach was evaluated using the Bosphorus 3D face database, which contains large variations in facial expressions, head poses and occlusions. The rank-1 accuracy achieved from the 3D data (80%) was better than that for 2D (58%), and the best accuracy (83%) was achieved by fusing the two types of data. This suggests that significant improvements to periocular recognition systems could be achieved using the 3D structure information that is now available from small and inexpensive sensors.

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The Human Respiratory Syncytial Virus (HRSV) fusion protein (F) was expressed in Escherichia call BL21A using the pET28a vector at 37 degrees C. The protein was purified from the soluble fraction using affinity resin. The structural quality of the recombinant fusion protein and the estimation of its secondary structure were obtained by circular dichroism. Structural models of the fusion protein presented 46% of the helices in agreement with the spectra by circular dichroism analysis. There are only few studies that succeeded in expressing the HRSV fusion protein in bacteria. This is a report on human fusion protein expression in E. call and structure analysis, representing a step forward in the development of fusion protein F inhibitors and the production of antibodies. (c) 2008 Elsevier Inc. All rights reserved.

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To shed more light on the molecular requirements for recognition of thyroid response elements (TRES) by thyroid receptors (TRs), we compared the specific aspects of DNA TRE recognition by different TR constructs. Using fluorescence anisotropy, we performed a detailed and hierarchical study of TR-TRE binding. This wits done by comparing the binding affinities of three different TR constructs for four different TRE DNA elements, including palindromic sequences and direct repeats (F2, PAL, DR-1, and DR-4) as well as their interactions with nonspecific DNA sequences. The effect of MgCl(2) on suppressing of nonselective DNA binding to TR was also investigated. Furthermore, we determined the dissociation constants of the hTR beta DBD (DNA binding domain) and hTR beta DBD-LBD (DNA binding and ligand binding domains) for specific TRES. We found that a minimum DNA recognition peptide derived from DBD (H1TR) is sufficient for recognition and interaction with TREs, whereas scrambled DNA sequences were unrecognized. Additionally, we determined that the TR DBD binds to F2, PAL, and DR-4 with high affinity and similar K(d) values. The TR DBD-LBD recognizes all the tested TRES but binds preferentially to F2, with even higher affinity. Finally, our results demonstrate the important role played by LBDs in modulating TR-DNA binding.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)