Optimization of Gabor Wavelets for Face Recognition

The article describes researches of a method of person recognition by face image based on Gabor wavelets. Scales of Gabor functions are determined at which the maximal percent of recognition for search of a person in a database and minimal percent of mistakes due to false alarm errors when solving an access control task is achieved. The carried out researches have shown a possibility of improvement of recognition system work parameters in the specified two modes when the volume of used data is reduced.

An integrative approach to face and expression recognition from 3D scans

Biometrics is afield of study which pursues the association of a person's identity with his/her physiological or behavioral characteristics.^ As one aspect of biometrics, face recognition has attracted special attention because it is a natural and noninvasive means to identify individuals. Most of the previous studies in face recognition are based on two-dimensional (2D) intensity images. Face recognition based on 2D intensity images, however, is sensitive to environment illumination and subject orientation changes, affecting the recognition results. With the development of three-dimensional (3D) scanners, 3D face recognition is being explored as an alternative to the traditional 2D methods for face recognition.^ This dissertation proposes a method in which the expression and the identity of a face are determined in an integrated fashion from 3D scans. In this framework, there is a front end expression recognition module which sorts the incoming 3D face according to the expression detected in the 3D scans. Then, scans with neutral expressions are processed by a corresponding 3D neutral face recognition module. Alternatively, if a scan displays a non-neutral expression, e.g., a smiling expression, it will be routed to an appropriate specialized recognition module for smiling face recognition.^ The expression recognition method proposed in this dissertation is innovative in that it uses information from 3D scans to perform the classification task. A smiling face recognition module was developed, based on the statistical modeling of the variance between faces with neutral expression and faces with a smiling expression.^ The proposed expression and face recognition framework was tested with a database containing 120 3D scans from 30 subjects (Half are neutral faces and half are smiling faces). It is shown that the proposed framework achieves a recognition rate 10% higher than attempting the identification with only the neutral face recognition module.^

Development of face recognition: Infancy to early childhood

Perception and recognition of faces are fundamental cognitive abilities that form a basis for our social interactions. Research has investigated face perception using a variety of methodologies across the lifespan. Habituation, novelty preference, and visual paired comparison paradigms are typically used to investigate face perception in young infants. Storybook recognition tasks and eyewitness lineup paradigms are generally used to investigate face perception in young children. These methodologies have introduced systematic differences including the use of linguistic information for children but not infants, greater memory load for children than infants, and longer exposure times to faces for infants than for older children, making comparisons across age difficult. Thus, research investigating infant and child perception of faces using common methods, measures, and stimuli is needed to better understand how face perception develops. According to predictions of the Intersensory Redundancy Hypothesis (IRH; Bahrick & Lickliter, 2000, 2002), in early development, perception of faces is enhanced in unimodal visual (i.e., silent dynamic face) rather than bimodal audiovisual (i.e., dynamic face with synchronous speech) stimulation. The current study investigated the development of face recognition across children of three ages: 5 – 6 months, 18 – 24 months, and 3.5 – 4 years, using the novelty preference paradigm and the same stimuli for all age groups. It also assessed the role of modality (unimodal visual versus bimodal audiovisual) and memory load (low versus high) on face recognition. It was hypothesized that face recognition would improve across age and would be enhanced in unimodal visual stimulation with a low memory load. Results demonstrated a developmental trend (F(2, 90) = 5.00, p = 0.009) with older children showing significantly better recognition of faces than younger children. In contrast to predictions, no differences were found as a function of modality of presentation (bimodal audiovisual versus unimodal visual) or memory load (low versus high). This study was the first to demonstrate a developmental improvement in face recognition from infancy through childhood using common methods, measures and stimuli consistent across age.

An incremental multilinear system for human face learning and recognition

This dissertation establishes a novel system for human face learning and recognition based on incremental multilinear Principal Component Analysis (PCA). Most of the existing face recognition systems need training data during the learning process. The system as proposed in this dissertation utilizes an unsupervised or weakly supervised learning approach, in which the learning phase requires a minimal amount of training data. It also overcomes the inability of traditional systems to adapt to the testing phase as the decision process for the newly acquired images continues to rely on that same old training data set. Consequently when a new training set is to be used, the traditional approach will require that the entire eigensystem will have to be generated again. However, as a means to speed up this computational process, the proposed method uses the eigensystem generated from the old training set together with the new images to generate more effectively the new eigensystem in a so-called incremental learning process. In the empirical evaluation phase, there are two key factors that are essential in evaluating the performance of the proposed method: (1) recognition accuracy and (2) computational complexity. In order to establish the most suitable algorithm for this research, a comparative analysis of the best performing methods has been carried out first. The results of the comparative analysis advocated for the initial utilization of the multilinear PCA in our research. As for the consideration of the issue of computational complexity for the subspace update procedure, a novel incremental algorithm, which combines the traditional sequential Karhunen-Loeve (SKL) algorithm with the newly developed incremental modified fast PCA algorithm, was established. In order to utilize the multilinear PCA in the incremental process, a new unfolding method was developed to affix the newly added data at the end of the previous data. The results of the incremental process based on these two methods were obtained to bear out these new theoretical improvements. Some object tracking results using video images are also provided as another challenging task to prove the soundness of this incremental multilinear learning method.

News agencies, their constant reinvention as a strategy to face competition

News agencies compete for a foothold as providers of information and mass media. Covered by a technological class infrastructure, Associated Press, Reuters, Agence FrancePresse (AFP) and EFE are leaders of the global media system because they introduce revolutionary changes in their production routines, professional culture, journalistic genres and styles; also for its innovative product offerings and services. This article also focuses on the strategies of the agencies to get closer to their audiences, from the agreements established and the treatment of very specific themes. Some solutions that contribute to the future survival of these entities are also proposed.

Face recognition using a unified 3D morphable model

We address the problem of 3D-assisted 2D face recognition in scenarios when the input image is subject to degradations or exhibits intra-personal variations not captured by the 3D model. The proposed solution involves a novel approach to learn a subspace spanned by perturbations caused by the missing modes of variation and image degradations, using 3D face data reconstructed from 2D images rather than 3D capture. This is accomplished by modelling the difference in the texture map of the 3D aligned input and reference images. A training set of these texture maps then defines a perturbation space which can be represented using PCA bases. Assuming that the image perturbation subspace is orthogonal to the 3D face model space, then these additive components can be recovered from an unseen input image, resulting in an improved fit of the 3D face model. The linearity of the model leads to efficient fitting. Experiments show that our method achieves very competitive face recognition performance on Multi-PIE and AR databases. We also present baseline face recognition results on a new data set exhibiting combined pose and illumination variations as well as occlusion.

Identity and gender recognition using the ENCARA real-time face detector

[EN]This paper presents recognition results based on a PCA representation and classification with SVMs and temporal coherence.

Ansiedade em face da morte em Agentes Funerários

Ao pensar na morte há um reconhecimento da vulnerabilidade humana e da própria fragilidade da vida. A morte é universal, mas experienciada de uma forma individualizada por cada um de nós, a partir da personalidade, experiências de vida, variáveis pessoais, idade, sexo, religião. Vivenciar a morte e o morrer poderá conduzir a sensações de medo e ansiedade. Os agentes funerários que lidam diariamente com a morte e com o “luto” (do corpo morto e dos familiares em relação ao ente querido que perderam) poderão estar expostos a sentimentos de ansiedade depressiva pela ativação diária do confronto com a própria morte, ou com a morte de pessoas a quem estão intimamente ligados. É objetivo deste estudo avaliar os níveis de ansiedade em face da morte em agentes funerários, e ainda explorar a eventual associação entre fatores sociodemográficos e profissionais selecionados e esta variável. A amostra é composta por 60 sujeitos de uma empresa funerária em Portugal. Os instrumentos psicométricos utilizados foram a Escala de Ansiedade face à Morte (DAQ), e um questionário sociodemográfico desenhado para o presente estudo. Os resultados globais mostram que os Agentes Funerários apresentam níveis de ansiedade face à morte estatisticamente significativos (M = 35,88; DP = 9,02). O género, a idade, religião, anos de experiência, estado civil, terem filhos, ter morrido alguém próximo ou significativo, especificidade de trabalho: ser comercial ou operacional o número de contatos, não marcam significativamente a forma como os sujeitos em estudo percecionam a sua ansiedade em face da morte. Os níveis de ansiedade aumentam entre aqueles que não tiveram formação específica para lidar com estas situações. / When thinking about death there is recognition of human vulnerability and fragility of life itself. Death is universal but experienced individually by each of us, through personality, life experiences, personal variables, age, sex, religion. Experiencing death and dying can lead to feelings of fear and anxiety. Funeral Agents who daily deal with death and with the "mourning" (the dead body and the family of the deceased) may be exposed to feelings of depressive anxiety activated by the daily confrontation with death itself or death of people who are close to them. The aim of this study is to assess the levels of anxiety in Funeral Agents when facing death, and also explore the eventual association of social-demographic and professional factors with this variable. The sample consisted of 60 subjects of a Portuguese Funeral company. The instruments used were the Death Anxiety Questionnaire (DAQ) and a socialdemographic questionnaire designed for the present study. The overall results show that Funeral Agents present anxiety levels statistically significant when facing death (M = 35.88, SD = 9.02). Gender, age, religion, years of experience, marital status, having children, the death of someone close or important, and the specificity of the job (commercial or operational agent), the number of contacts, show no statistically significant association with anxiety when facing death. However, the levels of anxiety increase among those who had had no specific formation to deal with these situations.

O PAPEL DA COMUNICAÇÃO FACE A FACE NAS ORGANIZAÇÕES NO CONTEXTO DA SOCIEDADE MIDIATIZADA

Este estudo trata da comunicação face a face nas organizações sob diferentes abordagens teóricas. Considera a perspectiva da simultaneidade dos meios, já que as empresas utilizam diversos canais para dialogar com seus públicos de interesse. Leva em conta o fenômeno da midiatização, que reestrutura o modo como as pessoas se relacionam na sociedade contemporânea. O objetivo geral da pesquisa é sistematizar papeis potencialmente exercidos pela interação face a face e conhecer algumas circunstâncias que envolvem sua prática nas organizações. Por se tratar de uma tese teórica, a pesquisa bibliográfica se apresenta como um dos principais procedimentos metodológicos; análises de casos empíricos e um estudo de caso desenvolvido na Embrapa Pantanal constituem situações ilustrativas. Conclui-se que a comunicação face a face nas empresas ocorre de forma simultânea e combinada a outros canais de comunicação, porém, ela proporciona resultados práticos e filosóficos ainda pouco explorados. É rara a utilização estratégica de contatos presenciais como mecanismo para estabelecer relacionamentos, conhecer as reações alheias e ajustar a comunicação, aliar o discurso corporativo às práticas empresariais e avaliar o contexto onde se desenvolvem as interações, o que pode ser decisivo para a comunicação organizacional.

Miglioramento della qualità di algoritmi di face morphing generation

L'obiettivo principale di questo lavoro di tesi è quello di migliorare gli algoritmi di morphing generation in termini di qualità visiva e di potenzialità di attacco dei sistemi automatici di riconoscimento facciale.

How Much Older Do You Get When a Wrinkle Appears on Your Face? Modifying Age Estimates by Number of Wrinkles

The present study investigated the influence of wrinkles on facial age judgments. In Experiment 1, preadolescents, young adults, and middle-aged adults made categorical age judgments for male and female faces. The qualitative (type of wrinkle) and quantitative (density of wrinkles and depth of furrows) contributions of wrinkles were analyzed. Results indicated that the greater the number of wrinkles and the depth of furrows, the older a face was rated. The roles of the gender of the face and the age of the participants were discussed. In Experiment 2, participants performed relative age judgments by comparing pairs of faces. Results revealed that the number of wrinkles had more influence on the perceived facial age than the type of wrinkle. A MDS analysis showed the main dimensions on which participants based their judgments, namely, the number of wrinkles and the depth of furrows. We conclude that the quantitative component is more likely to increase perceived facial age. Nevertheless, other variables, such as the gender of the face and the age of the participants, also seem to be involved in the age estimation process.

Comparability between telephone and face-to-face Structured Clinical Interview for DSM-IV in assessing social anxiety disorder

PURPOSE. This article evaluates the comparability of the telephone and in-person Structured Clinical Interview for DSM-IV (SCID) interviews in assessing patients with social anxiety disorder (SAD) as an independent anxiety diagnosis. DESIGN AND METHODS. One hundred subjects were randomly selected and interviewed with the SCID, once by telephone and once in person (1-3 months later). FINDINGS. The prevalence of SAD assessed with the telephone interviews was 56%, whereas the in-person prevalence was 52%, with no statistically significant difference. The test-retest kappa for the 200 interviews was .84, indication of excellent agreement. PRACTICE IMPLICATIONS. These findings, along with the existing evidence of their validity, should encourage the use of SCID by telephone for SAD diagnostic interviews.

O controverso reconhecimento dos activos públicos face à actual situação conceptual da contabilidade pública em Portugal e Espanha

Con la reforma de la contabilidad pública, numeradamente en Portugal y España, la contabilidad patrimonial ha ganado importancia en este sistema contable, siendo necesario definir la composición y el valor del patrimonio de cada entidad pública. La clasificación de los diferentes elementos patrimoniales, numeradamente los activos, se convirtió en una de las preocupaciones de estas entidades, siendo necesario definir criterios exactos para su reconocimiento, lo que provocó una problemática conceptual en la Contabilidad Pública de los diversos países. En Portugal, la reforma de la Contabilidad Pública resultó en la implementación de planes públicos sectoriales, que poco se refieren à su encuadramiento conceptual, no haciendo mención, entre otros aspectos, al concepto y a los criterios de reconocimiento de los elementos de las demonstraciones financieras, por ejemplo de los activos. Por lo tanto, estos planes sectoriales de Contabilidad Pública muestran deficiencias conceptuales, que podrán superarse mediante la definición de un marco conceptual para la Contabilidad Pública en Portugal, partiendo de los existentes al nivel nacional e internacional de ámbito empresarial, y también de ámbito público, y haciendo los correspondientes ajustes, atendiendo a las particularidades de las entidades a las cuales este sistema contable se aplica. En España, el actual Plan General de Contabilidad Pública - PGCP, aprobado en 1994 y modificado posteriormente, tiene algunas deficiencias conceptuales. Sin embargo, en este país es evidente un avance conceptual en comparación con Portugal, ya que se ha publicado un borrador del nuevo PGCP en el año 2009, que incluye un marco conceptual para la Contabilidad Pública. Teniendo en cuenta el marco conceptual del PGCP (2009), así como otros marcos conceptuales existentes, la cuestión de lo que reconocer como un activo está más clara, mencionando dos requisitos de reconocimiento: el cumplimiento del concepto de activos y de sus dos criterios de reconocimiento, relacionados con la relevancia de un elemento para la entidad y la fiabilidad de su valoración. Por lo tanto, teniendo en cuenta estos dos requisitos, un elemento sólo puede ser reconocido como un activo cuando es económicamente controlado por la entidad, resulte de eventos pasados, se pueda utilizar en la prestación de servicios o en la obtención de beneficios para la entidad y, finalmente, cuando su valor puede ser valorado de forma fiable. Así, vemos que la definición del reconocimiento de los activos, y también los demás elementos de los estados financieros, es un elemento importante del marco conceptual de la contabilidad, que es esencial en la preparación y presentación de los estados financieros, que permite una aplicación más coherente de las normas contables, y por lo tanto una mayor comparabilidad de la información financiera.