An adaptation framework for head-pose classification in dynamic multi-view scenarios

Multi-view head-pose estimation in low-resolution, dynamic scenes is difficult due to blurred facial appearance and perspective changes as targets move around freely in the environment. Under these conditions, acquiring sufficient training examples to learn the dynamic relationship between position, face appearance and head-pose can be very expensive. Instead, a transfer learning approach is proposed in this work. Upon learning a weighted-distance function from many examples where the target position is fixed, we adapt these weights to the scenario where target positions are varying. The adaptation framework incorporates reliability of the different face regions for pose estimation under positional variation, by transforming the target appearance to a canonical appearance corresponding to a reference scene location. Experimental results confirm effectiveness of the proposed approach, which outperforms state-of-the-art by 9.5% under relevant conditions. To aid further research on this topic, we also make DPOSE- a dynamic, multi-view head-pose dataset with ground-truth publicly available with this paper.

Exploring Transfer Learning Approaches for Head Pose Classification from Multi-view Surveillance Images

Head pose classification from surveillance images acquired with distant, large field-of-view cameras is difficult as faces are captured at low-resolution and have a blurred appearance. Domain adaptation approaches are useful for transferring knowledge from the training (source) to the test (target) data when they have different attributes, minimizing target data labeling efforts in the process. This paper examines the use of transfer learning for efficient multi-view head pose classification with minimal target training data under three challenging situations: (i) where the range of head poses in the source and target images is different, (ii) where source images capture a stationary person while target images capture a moving person whose facial appearance varies under motion due to changing perspective, scale and (iii) a combination of (i) and (ii). On the whole, the presented methods represent novel transfer learning solutions employed in the context of multi-view head pose classification. We demonstrate that the proposed solutions considerably outperform the state-of-the-art through extensive experimental validation. Finally, the DPOSE dataset compiled for benchmarking head pose classification performance with moving persons, and to aid behavioral understanding applications is presented in this work.

Database Independent Human Emotion Recognition with Meta-Cognitive Neuro-Fuzzy Inference System

Facial emotions are the most expressive way to display emotions. Many algorithms have been proposed which employ a particular set of people (usually a database) to both train and test their model. This paper focuses on the challenging task of database independent emotion recognition, which is a generalized case of subject-independent emotion recognition. The emotion recognition system employed in this work is a Meta-Cognitive Neuro-Fuzzy Inference System (McFIS). McFIS has two components, a neuro-fuzzy inference system, which is the cognitive component and a self-regulatory learning mechanism, which is the meta-cognitive component. The meta-cognitive component, monitors the knowledge in the neuro-fuzzy inference system and decides on what-to-learn, when-to-learn and how-to-learn the training samples, efficiently. For each sample, the McFIS decides whether to delete the sample without being learnt, use it to add/prune or update the network parameter or reserve it for future use. This helps the network avoid over-training and as a result improve its generalization performance over untrained databases. In this study, we extract pixel based emotion features from well-known (Japanese Female Facial Expression) JAFFE and (Taiwanese Female Expression Image) TFEID database. Two sets of experiment are conducted. First, we study the individual performance of both databases on McFIS based on 5-fold cross validation study. Next, in order to study the generalization performance, McFIS trained on JAFFE database is tested on TFEID and vice-versa. The performance The performance comparison in both experiments against SVNI classifier gives promising results.

Redox-Active Metal-Organic Frameworks: Highly Stable Charge-Separated States through Strut/Guest-to-Strut Electron Transfer

Molecular organization of donor and acceptor chromophores in self-assembled materials is of paramount interest in the field of photovoltaics or mimicry of natural light-harvesting systems. With this in mind, a redox-active porous interpenetrated metal-organic framework (MOF), {Cd(bpdc)(bpNDI)]4.5H(2)ODMF}(n) (1) has been constructed from a mixed chromophoric system. The -oxo-bridged secondary building unit, {Cd-2(-OCO)(2)}, guides the parallel alignment of bpNDI (N,N-di(4-pyridyl)-1,4,5,8-naphthalenediimide) acceptor linkers, which are tethered with bpdc (bpdcH(2)=4,4-biphenyldicarboxylic acid) linkers of another entangled net in the framework, resulting in photochromic behaviour through inter-net electron transfer. Encapsulation of electron-donating aromatic molecules in the electron-deficient channels of 1 leads to a perfect donor-acceptor co-facial organization, resulting in long-lived charge-separated states of bpNDI. Furthermore, 1 and guest encapsulated species are characterised through electrochemical studies for understanding of their redox properties.

Low Resolution Face Recognition Across Variations in Pose and Illumination

We propose a completely automatic approach for recognizing low resolution face images captured in uncontrolled environment. The approach uses multidimensional scaling to learn a common transformation matrix for the entire face which simultaneously transforms the facial features of the low resolution and the high resolution training images such that the distance between them approximates the distance had both the images been captured under the same controlled imaging conditions. Stereo matching cost is used to obtain the similarity of two images in the transformed space. Though this gives very good recognition performance, the time taken for computing the stereo matching cost is significant. To overcome this limitation, we propose a reference-based approach in which each face image is represented by its stereo matching cost from a few reference images. Experimental evaluation on the real world challenging databases and comparison with the state-of-the-art super-resolution, classifier based and cross modal synthesis techniques show the effectiveness of the proposed algorithm.

Isabel II y la fotografía : imágenes de una vida

Resumen: La adquisición de nuevos retratos de la reina Isabel II ha propiciado la revisión y puesta al día de un sugestivo corpus fotográfi co enormemente ilustrativo de la diversidad de recursos que la fotografía decimonónica ofrecía, así como de los cambios que afectaron al tema de la representación regia.

Aquecimento global : George Leuzinger e um alerta fotográfico

Descreve, tomando por base uma fotografia de 1865, algumas iniciativas para preservação da natureza realizadas no Brasil durante o século XIX. Resume dados biográficos do suíço George Leuzinger, dando ênfase a preocupação ecológica desse fotógrafo. Afirma a necessidade de transformar o ser humano em "parasita do Bem", extraindo do planeta Terra o seu sustento, mas retribuindo com a correção dos malefícios feitos até agora.

Aurpegiaren detekziorako sistema baten garapen eta balidazioa

[ES]Hoy en día, la linea de investigación sobre la detección de rostros se ha incrementado, debido al uso y la influencia del mismo en diferentes aplicaciones. Por ejemplo, la mayoría de las cámaras digitales actuales, para mejorar la claridad de la imagen y la focalización, tienen incorporado un sistema de detección del rostro. La detección del rostro también es el primer paso para otras aplicaciones y lineas de investigación, como pueden ser el seguimiento de los ojos, y la vigilancia de la seguridad de varias aplicaciones, entre otros. Por esta razón, es necesario realizar una correcta detección facial. En esta tesis de máster, se realizará un análisis y estudio del estado del arte de la detección del rostro, para posteriormente realizar una aplicación práctica, así como su validación y análisis. El detector desarrollado es la conjunción del uso de diferentes cascadas de clasificadores basados en el método de Viola y Jones y las características de Lienhart, y un detector de piel.

Agenda de saúde em tramitação na Câmara dos Deputados

Identifica os temas relacionados à saúde em tramitação nas comissões e plenário da Câmara dos Deputados em janeiro de 2014. Oferece uma “fotografia” da “agenda da saúde” em tramitação nessa Casa, relevantes para as funções de legislar e de fiscalizar. Tal análise pode ser útil ao monitoramento dos conteúdos relevantes para o debate da saúde.

Álbum do Amazonas / photographias de F. A. Fidanza. --Album do Amazonas, 1901-1902 : no Governo de Sua Exª. Snr. Dr. Silvério Nery

Com dedicatória à Camara dos Deputados do Senador Joaquim José Pais da Silva Sarmento, 1900-1902(na página de rosto)

Perturbational finite volume scheme for the one-dimensional Navier-Stokes equations

Starting from the second-order finite volume scheme,though numerical value perturbation of the cell facial fluxes, the perturbational finite volume (PFV) scheme of the Navier-Stokes (NS) equations for compressible flow is developed in this paper. The central PFV scheme is used to compute the one-dimensional NS equations with shock wave.Numerical results show that the PFV scheme can obtain essentially non-oscillatory solution.

Terrones de historia

Ponencia leída en el Foro de Comunicaciones IkasArt II (BEC Barakaldo, 2010.06.17)

Inter- and intramolecular enantioselective carbolithiation reactions

In this review we summarize recent developments in inter- and intramolecular enantioselective carbolithiation reactions carried out in the presence of a chiral ligand for lithium, such as (-)-sparteine, to promote facial selection on a C=C bond. This is an attractive approach for the construction of new carbon-carbon bonds in an asymmetric fashion, with the possibility of introducing further functionalization on the molecule by trapping the reactive organolithium intermediates with electrophiles.

Diário da Constituinte [gravação de vídeo] : [programa n. 354]

O Plenário da Constituinte se reúne amanhã para concluir a votação do Regimento Interno. Faltam ser votados alguns destaques à proposta da Mesa da Constituinte. É provável que não haja quorum para a votação. Mas os constituintes continuam a negociar em busca de um entendimento. Oito fotógrafos documentaram a Constituinte desde a escolha dos líderes até a fase final da Comissão de Sistematização. Trata-se de um trabalho conjunto do CEAC - Centro de Acompanhamento da Constituinte, da UnB. Os momentos memoráveis são registrados.

Agenda de saúde em tramitação na Câmara dos Deputados em janeiro de 2016

Apresenta os temas relacionados à saúde de proposições em tramitação nas comissões e plenário da Câmara dos Deputados em janeiro de 2016. Trata-se de reaplicação de metodologia utilizada anteriormente (em 20141 e 2015) e, do mesmo modo, oferece uma “fotografia” da “agenda da saúde” em tramitação nessa Casa, relevantes para as funções de legislar e de fiscalizar.