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PROGRAM
Kim Boyer (Monday 11:00-12:00) Tutorial 1 – Perception for Visualization: From Design To Evaluation (Class notes and bibliography)
Authors: Haim Levkowitz and Maria Cristina Ferreira de Oliveira Affiliations: University of Massachusetts Lowell and ICMC - USP - São Carlos Level: Advanced Duration: 3 hours Abstract: What is the smallest sample I can show that will be perceived? What is the smallest sample I can show that will be perceived in color? Can I afford using image compression? If yes, how much and what kind? Should I use a grayscale or another color scale? How many gray levels do I absolutely need? What color scale should I use? How many bits for color do I need to have? Should I use 3D, stereo, texture, motion? If so what kinds? Should I add multiple views to my visualization? If so, how many? What about adding sonification? And, finally, Has my visualization been successful meeting its goals and needs? If you have ever designed a data visualization, you probably have asked yourself (and perhaps other people) some of these questions; at least you should have. Since visualization "consumers" are human beings, the answers to these questions can only come from a thorough analysis and understanding of human perceptual capabilities and limitations, combined with a visualization's goals and needs. This tutorial will teach you the basics of human perception and how to utilize them in the complete process of visualization: from initial design to final evaluation. While a major part of the tutorial will focus on visualization literally, we will also address similar principles when designing a sonification, or a combined visualization and sonification. Who should attend: Anybody engaged in the design, implementation, and evaluation of data visualizations. Prerequisites: Knowledge and understanding of basic computer graphics, imaging, and visualization concepts. What will you gain: Understanding of the complete processes of visualization and sonification, from design to evaluation, and how to incorporate perception into the process to maximize the visualizations impact and results. Tutorial 2 – Computer Vision and Graphics for Heritage Preservation and Digital Archaelogy
Authors: Luciano Silva, Olga R. P. Bellon, and Kim L. Boyer Affiliations: Universidade Federal do Paraná and The Ohio State University Level: State-of-the-Art Duration: 3 hours Abstract: The goal of this tutorial is to provide attendees with a survey of topics related to Heritage Preservation and Digital Archaeology, which are challenging and motivating subjects to both computer vision and graphics community. These issues have been gaining increasing attention and priority within the scientific scenario and among funding agencies and development organizations over the last years. Motivations to this work are the recent efforts in the digital preservation of cultural heritage objects and sites before degradation or damage caused by environmental factors or human development. One of the main focuses of these researches is the development of new techniques for realistic 3D model building from images, preserving as much information as possible. In this tutorial we address this problem and propose a robust approach expected to be useful for many other purposes. We intend to introduce and discuss several emerging topics in computer vision and graphics related to heritage preservation and digital archaeology while highlighting the major contributions and advances in these fields. Topics covered include range images, multiview registration, 3D modeling and representation, robust methods and current research challenges. Emphasis can be given to selected advanced topics depending on the interests of participants. Tutorial 3 – An Introduction to Light Interaction with Human Skin
Authors: Gladimir V. Baranoski and Aravind Krishnaswamy Affiliations: Natural Phenomena Simulation Group, University of Waterloo Level: Advanced Duration: 3 hours Abstract: Despite the notable progress in physically-based rendering, there is still a long way to go before one can auto-matically generate predictable images of biological materials. This tutorial addresses an important topic in this area, namely the realistic rendering of skin, the largest organ in the human body. This tutorial begins with a review of relevant measurement procedures used in data collection and model validation, followed by a presentation of biological factors involved in the processes associated with light propagation in skin tissues, namely surface reflectance, subsurface reflectance and transmittance as well as the mechanisms of light absorption by natural pigments. These processes not only affect skin appearance, but also its health. Not surprisingly, there is a considerable amount of research on skin optics available in the biomedical literature as well as recent investigations in pattern recognition and colorimetry. The reflectance models developed in these fields are mostly aimed at the reproduction of skin spectral properties to determine the content and distribution of various substances, i.e., scattering properties affecting skin appearance are usually not addressed. In computer graphics, on the other hand, the focus has been on addressing these properties and developing scattering models to be used in image synthesis frameworks. These computer graphics models, however, incorporate algorithms and techniques used in the biomedical models. More recently, research efforts have been directed toward the development of com-prehensive models, which take as input biological and structural data and provide as output both spectral and scattering quantities for skin specimens. Taking into account these aspects, this tutorial provides a review of the most important modeling approaches used in biomedical applications followed by a more detailed description of current models used in image syn-thesis frameworks. The tutorial will conclude with a discussion of open problems and current trends in the predictive rendering of human skin. Tutorial 4 – Filtros Preditivos
Author: Siome Klein Goldenstein Affiliation: UNICAMP Level: Advanced (in Portuguese) Duration: 4 hours Abstract: Filtros preditivos são um conjunto de técnicas para realizar estimação Bayesiana de estados. Estas técnicas são frequentemente utilizadas em visão computacional, controle e robótica, para rastreamento e observação. A primeira etapa para seu uso é a caracterização do sistema em questão. É necessário identificar o conjunto de variáveis essenciais para a descrição do estado desse sistema. Isto não é um problema simples, e também não possui solução única, exigindo portanto experiência e cuidado por parte do projetista. A segunda etapa consiste na modelage, da dinâmica deste sistema sem a presença de fatores externos. Ou seja, como as variaveis de estado mudam por conta própria. Há duas formas de representar isso: como equações diferencias (quando desejamos uma representação das variaveis de estado no tempo contínuo), ou como equações de diferença (quando estamos apenas interessados em uma amostragem discreta do tempo). Para a terceira etapa necessitamos descrever este sistema de forma Bayesiana. Os valores das variáveis de estado se tornal variáveis aleatórias, e a dinâmica passa a ser descrita como probabilidades condicionais. O processo de estimação Bayesiana dos estados é um processo indutivo. Partimos da representação do estado atual (prior), temos a dinâmica do sistema (descrita como uma probabilidade condicional), e coletamos uma observação. Utilizamos a Bayes para obter a distribuição da predição a partir do prior, e depois executamos uma fusão de dados com a informação obtida da observação. Todos os filtros preditivos fazem essencialmente a mesma coisa, diferindo apenas em suposições e técnicas para resolver cada etapa. O Filtro de Kalman é utilizado quando o sistema possui dinâmica e observações lineares, e variáveis de estado com distribuições Gaussianas. Quando o sistema é não linear, porém ainda deseja-se descrever as distribuições como Gaussianas, temos então o Filtro de Kalman Extendido. Quando as distribuições são não paramétricas, utiliza-se técnicas de amostragem, como nos métodos de Monte Carlo. São os casos do Filtro de Partículas e Filtro Unscented. Tutorial 5 – Introdução à Programação com Java Advanced Imaging
Author: Rafael Santos Affiliation:Instituto Brasileiro de Tecnologia Avançada (IBTA), São José dos Campos Level: Hands-on (in Portuguese) Duration: 4 hours Abstract: JAI (Java Advanced Imaging) é uma API (application programming interface), ou conjunto de classes, que permite a inclusão de uma ampla gama de rotinas de processamento de imagens em aplicações escritas em Java. JAI permite também o acesso paginado a imagens grandes (por exemplo, que não caberiam na memória principal do computador). O poder e a flexibilidade do JAI, aliados à facilidade de programação em Java, permitem a criação rápida de aplicações de processamento de imagens. Como vantagem adicional, tanto Java quanto JAI podem ser executados em praticamente qualquer plataforma, podem ser obtidos gratuitamente e sem restrições de distribuição, o que faz desta combinação uma opção atraente quando comparada com soluções comerciais de ambientes de desenvolvimento para processamento de imagens. Infelizmente, tutoriais básicos e práticos para programação usando o JAI inexistem, e muitos programadores novatos não têm como aprender os conceitos básicos de JAI para desenvolver seus projetos. Este tutorial tem como objetivo apresentar os conceitos básicos de JAI através de exemplos práticos e funcionais. Este tutorial apresentará os conceitos elementares de Java (somente o suficiente para que programadores em C, C++ ou Pascal compreendam as diferenças), os conceitos elementares do JAI e a implementação de rotinas conhecidas (filtros, conversores, classificadores, ferramentas de visualização etc.) em JAI. Tutorial 6 – Shader Programming: An Introduction Using the Effect Framework
Author: Joern Loviscach Affiliation: Hochschule Bremen, Germany Level: Hands-on Duration: 4 hours Abstract: Current commodity graphics cards offer programmability through vertex shaders and pixel shaders to create special effects by deformation, lighting, tex-turing, etc. The Effect framework introduced by Microsoft and Nvidia allows to store shader program code, settings, and a limited graphical user interface within a single .fx text file. This supports sharing work between programmers who write the code and designers who manipulate the GUI elements. Furthermore, the Effect framework proves to be ideal for experimenting with shader programming-be it for learning purposes or for rapid prototyping of new algorithms. In this tutorial, we employ the Effect framework for an exploratory, hands-on approach, introducing first principles only as needed, not in advance. Simple shader programs are used to review basic 3D techniques such as homogeneous coordinates and the Phong shading model. Then we turn to basic deformation effects through vertex shaders and the use of texture maps as decals or reflected environments inside pixel shaders. To create bump mapping and related effects, tangent space coordinates and normal maps are introduced. Finally, we treat more complex effects such as anisotropic specular highlights, procedural tex-tures, and alpha blending. Technical Session 1 (Monday 8:30-10:30) 1A: Medical Image Processing
J.Scharcanski and C. Jung Segmentation of Clinical Structures from Images of the Human Pelvic Area J. Camapum, A. Silva, A. Freitas, H. Bassani, and F. Freitas An Image-Matching Approach to Protein Similarity Analysis F. Fernandes, C. Lopes, R. Melo, M. Santoro, R. Carceroni, W. Meira, A. Araújo, and C. Silveira Image Formation in Vibro-acoustography with Sector Array Transducers G. Silva, S. Chen, A. Frery, E. Almeida, M. Fatemi, and J. Greenleaf O.G.R.E. . Open Gestures Recognition Engine J. Dias, P. Nande, N. Barata, and A. Correia 1B: Meshes and Geometry Compression
F. Silva and A. Gomes Geodesic Paths on Triangular Meshes D. Martínez, L. Velho, and P. Carvalho Efficient Edgebreaker for Surfaces of Arbitrary Topology T. Lewiner, H. Lopes, J. Rossignac, and A. Vieira Multi-Resolution Triangulations with Adaptation to the Domain Based on Physical Compression R. Marroquim, P. Cavalcanti, L. Velho, and C. Esperança Hierarchical Isocontours Extraction and Compression T. Lewiner, L. Velho, H. Lopes, and V. Mello Technical Session 2 (Monday 13:30-15:30) 2A: Image Processing and Analysis
P. Borges and J. Mayer Level Lines Continuation Based Digital Inpainting C. Barcelos, M. Batista, A. Martins, and A. Nogueira Detection of Lines Using Hierarchical Region Based Representation A. Silva and R. Lotufo Image Segmentation by Tree Pruning A. Falcão, F. Bergo, and P. Miranda A Robust Linear-Parabolic Model for Lane Following C. Jung and C. Kelber 2B: Curves and Surfaces
T. Hain, S. Racherla, and D. Langan Arc-Length Based Curvature Estimator T. Lewiner, J. Gomes, H. Lopes, and M. Craizer Fast Polygonization of Variational Implicit Surfaces A. Cuno, C. Esperança, A. Oliveira, and P. Cavalcanti Curvature Dependent Polygonization of Implicit Surfaces B. Araújo and J. Jorge A Deformable Surface Model on the Basis of the Theory of a Cosserat Surface W. Shin-Ting and V. Melo Technical Session 3 (Tuesday 8:30-10:30) 3A: Pattern Recognition
J. Oliveira, M. Kapp, C. Freitas, J. de Carvalho, and R. Sabourin Postal Envelope Address Block Location by Fractal-Based Approach L. Eiterer, J. Facon, and D. Menoti Segmentation with Active Contours: A Comparative Study of B-Spline and Level Set Techniques D. Wassermann, M. Mejail, J. Gambini, and M. Buemi Skeletonization of Two-Dimensional Shapes via Fast Numerical Calculation of Vector Fields M. Homem, L. Costa, and N. Mascarenhas Rectangle Detection Based on a Windowed Hough Transform C. Jung and R. Schramm 3B: Graphics Hardware and Rendering
E. Clua, B. Feijó, M. Dreux, and F. Fonseca A Load-Balancing Strategy for Sort-First Distributed Rendering F. Abraham, W. Celes, R. Cerqueira, and J. Campos Navier-Stokes on Programmable Graphics Hardware Using SMAC C. Scheidegger, J. Comba, and R. Cunha Multiple-Depth Shadow Maps C. Pagot, J. Comba, and M. Oliveira Specular Reflection Reduction with Multi-Flash Imaging R. Feris, R. Raskar, K. Tan, and M. Turk Technical Session 4 (Tuesday 13:30-15:30) 4A: Mathematical Morphology
M. Oliveira and N. Leite On Integrating Iterative Segmentation by Watershed with Tridimensional Visualization of MRIs R. Audigier, R. Lotufo, and A. Falcão Color-Based Watershed Segmentation of Low-Altitude Aerial Images A. Huguet, M. Andrade, R. Carceroni, and A. de Araújo Color Image Gradients for Morphological Segmentation: The Weighted Gradient Improved by Automatic Imposition of Weights F. Flores, A. Polidório, and R. Lotufo A Longest Common Subsequence Approach to Detect Cut and Wipe Video Transitions F. Bezerra 4B: Virtual Reality, Visualization and Modeling
V. Theoktisto and M. Fairén Collaborative Virtual Training Using Force Feedback Devices M. Rodrigues, R. Chaves, and W. Silva Viz3D: Effective Exploratory Visualization of Large Multidimensional Data Sets A. Artero and M. Oliveira Morphing Textures with Texton Masks L. Tonietto and M. Walter Motion Reconstruction Using Moments Analysis L. Rocha, L. Velho, and P. Carvalho Technical Session 5 (Wednesday 8:30-10:30) 5A: Computer Vision
D. Martins, R. Cesar, and J. Barrera Underwater Stereo J. Queiroz-Neto, R. Carceroni, W. Barros, and M. Campos A Video-Based Support System for Nighttime Navigation in Semi-Structured Environments L. Andrade, M. Campos, and R. Carceroni From Photometric-Motion to Shape from Shading J. Torreão and J. Fernandes Data-Based Motion Simulation through a Green’s Function Approach P. Ferreira, J. Torreão, and P. Carvalho 5B: Modeling
A. Oliveira, S. Ribeiro, R. Farias, C. Esperança, and G. Giraldi Restricted BPA: Applying Ball-Pivoting on the Plane E. Medeiros, L. Velho, and H. Lopes Adaptive Deformable Models S. Goldenstein, C. Vogler, and L. Velho Automatic Image Alignment for 3D Environment Modeling N. Williams, K. Low, C. Hantak, M. Pollefeys, and A. Lastra Space Carving with a Hand-held Camera A. Montenegro, P. Carvalho, L. Velho, and M. Gattass Poster Session 1 (Monday 10:00-11:00)
Yossi Zana, Roberto M. Cesar-jr P02. Proximity Relations in a Polar Frequency Face representation Yossi Zana, Roberto M. Cesar-jr P03. IM - An Imaging Tool:Image Representation, Storage, Capture and Processing Antonio Scuri P04. Fast image segmentation: quantitative evaluation and image applications Daniela M. Ushizima, Luís A. Consularo, Luciano da F. Costa, B.S. Manjunath P05. Image Processing Techniques for Intergranular Corrosion Evaluation in AISI 304L Steel Rodrigo C. S. Costa, Fatima N. S. de Medeiros, Darby F. A. Lopes P06. Gradient Vector Flow (GVF) for region of interest detection in interactive videos Gabriel Q. Rezende, Josenivaldo Benito, João do E. S. B. Neto, Diego F. de Carvalho, Adilson Gonzaga P07. A Quantitative Evaluation of Segmentation Results through the use of Ground-Truth Images: an Application to Postal Envelope Segmentation David Menoti, Jacques Facon, Díbio Leandro Borges, Alceu de Souza Britto-Júnior P08. A Novel Method for Image Feature Extraction Based on Principal Curves Used for Designing a Ship Classifier Helena Lopez Fernandez, José Manoel de Seixas P09. Visual Analysis of Feature Selection Results Humberto Razente, Caetano Traina Jr., Agma Juci Machado Traina Poster Session 2 (Monday 15:00-16:00)
Jose Luis Pina, Eva Cerezo, Francisco Jose Seron P11. Visualization of Compressed Volumetric Data With Local Decompression Fernando Jorge Cutrim Demetrio, João Rodrigo Ferreira da Silva Sousa, Leonardo de Oliveira Martins, Anselmo Cardoso de Paiva P12. Transfer Functions Specification for Direct Volume Rendering. João Luis Prauchner, João L. Dihl Comba and Carla M.D.S. Freitas P13. Ocular Image Understanding for Biometrics Pattern Identification Antonio Valerio Netto, César A.B. Castañón P14. Automated mammographic masses detection Daniel Freitas Colaço, Paulo César Cortez P15. Computation of the visual rhythm by histogram from a filtered video content Silvio Jamil F. Guimarães P16. Separation, Calibration, and Stereoscopic Analysis of Archaeological Ceramic Fragment Images D. O. Araújo, H. C. G. Leitão, G. Medeiros Jr., J. Stolfi, A. P. Sena Jr P17. Casual Alignment of Projection Systems Pascual Castelló, Ricardo Quirós, Miguel Chover Poster Session 3 (Tuesday 10:00-11:00)
João P. Papa, Nelson D. A. Mascarenhas, Leila M. G. Fonseca P19. Classification of Astronomical Sources in Wavelet Space Daniel Epitácio Pereira, Antônio Oliveira, Carlos Rabaça P20. MANDAS-2D Numerical Meshes for Seismic Data Karl Apaza Aguero, Paulo Roma Cavalcanti, Antonio Fernandes de Oliveira P21. On the Investigation of the Comparison of Edge Maps Jander Moreira, Fernanda N. Fontes, Elen P. Malanote P22. New Image Analysis Techniques for Interactive Training System Antônio V. Netto, Moacir P. Ponti Jr., Christian C. Bones P23. Image Database of Brazilian Vehicles for Validate License Plate Recognition Systems Marcelo P. Albuquerque, E.S. Caner, A. Gesualdi, M.P. Albuquerque, B.B. Leite, C.M. Vasconcelos P24. A Bayesian Network Model for Object Recognition Environment Using Color Features Diego Mazala, Paulo Sérgio Rodrigues, Rodrigo Silva, Gilson Giraldi P25. A Framework for Automatic Cephalometric Landmarking Alberto luiz da Silva, Fabrício Martins Lopes e Luís Augusto Consularo Poster Session 4 (Tuesday 16:00-17:00)
Eugenio De Marco, Aldo Ventre P27. 3D Urban Modeling to Virtual Enviroments Sergio Salazar, Julian Boralli, Antonio Valerio P28. A Virtual Environment for 3D-Photography Victor Bogado, Asla Sa, Luiz Velho P29. A Ray-Tracing Based Environment for Photorealistic and Non-Photorealistic Rendering Matheus Cabral de Araujo Gois, Marcelo Gattass, Waldemar Celes P30. VisciPower: An Interactive System for Power Generation Planning Célio Flores Siqueira Jr, Wu Shin-Ting, Anésio dos Santos Junior, Takaaki Ohishi P31. Interactive Three-Dimensional Rendering on Mobile Computer Devices Javier Lluch, Rafael Gaitan, Emilio Camahort, Roberto Vivó P32. Collision Detection and Response for Physically Based Animation Yalmar Ponce Atencio, Claudio Esperança P33. A shading pipeline for 2D animation techniques Hedlena Bezerra, Luiz Velho, Bruno Feijó P34. An Augmented Reality System for Outdoor Feature Annotation Mónica Rubio, Edith Pulido, Ricardo Quirós Poster Session 5 (Wednesday 10:00-11:00)
Diego de Miranda Gomes, Allan de Medeiros Martins, Adrião D. Dória Neto, Jorge Dantas de Melo P36. Texture Classification using Local Histogram Equalization and Lempel-Ziv-Welch Algorithm Leonardo Vidal Batista, Moab Mariz Meira P37. Particles Tracing in Grid Environment Algemiro A. Neto, Gilson A. Giraldi, Rodrigo L. Silva, Vinícius F. V. Silva P38. Access and Preservation of Collections using Multimedia Information Systems Flávio Humberto Cabral Nunes, Arnaldo de Albuquerque Araújo, Luiz Antônio Cruz Souza P39. Shape feature extraction from a contour-based 3-D landmark representation using 3-D wavelet transforms Sílvia C. D. Pinto, Roberto M. Cesar-Jr, Pete E. Lestrel, Luciano da F. Costa P40. License plate segmentation using component tree Júlio César e Melo, Silvio Jamil F. Guimarães P41. Vision Platform for Mobile Robots with Embedded Operational System Carlos Alberto Candido Pereira, Henrique Cunha Pazelli, Tatiana Figueiredo Pereira Alves Taveira P42. Educational Enviroment for Mobile Robot Programming Sergio Salazar, Aretha Barbosa, Leizza Rodrigues, Claudio Policastro Workshop of Theses and Dissertations (WTDCGPI)
Workshop of Theses and Dissertations (WTDCGPI)
Workshop of Theses and Dissertations (WTDCGPI)
Workshop of Theses and Dissertations (WTDCGPI)
Workshop of Theses and Dissertations (WTDCGPI)
Workshop of Theses and Dissertations (WTDCGPI)
Workshop
Of Undergraduate Work (WICCGPI) – Session 1
PEDRO S. PEREZ, JÚLIA E. ENGRÁCIA OLIVEIRA,LUIZ ANTÔNIO BAILÃO, EVANDRO E. S. RUIZ ImagCom - Grupo de Computação de Imagens Médicas, DFM - Departamento de Física e Matemática, FFCLRP - Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, USP - Universidade de São Paulo - Av. Bandeirantes, 3900, CEP 14040-901, Ribeirão Preto, SP, Brasil
IC02
- Efiais Incremental em Reconhecimento Facial
IC03
- Representação 2D e 3D de Árvores Usando
Escala
IC04
- Classificação de Impressões Digitais
Utilizando a Transformada de Hough e Redes Neurais
IC05
- SIKS - Simple Inverse Kinematics System
IC06
- Amostragem Adaptativa para Computação Gráfica
Baseada em Pontos
IC07
- TALIS - Tradução Automática da Linguagem dos
Sinais
IC08
- Visualização 3D Combinando Imagem QuickBird e Dados
de Laser Scanning
Workshop
Of Undergraduate Work (WICCGPI) – Session 2
DIEGO MAZALA, PAULO SÉRGIO RODRIGUES, GILSON GIRALDI National Laboratory for Scientific Computing Petrópolis - Rio de Janeiro - Brazil
IC10
- Segmentação e simplificação de
hidrografia e curvas de nível em cartas topográficas
coloridas: resultados preliminares
IC11-
Modelagem e Implementação de um Sistema Multiresolução
de Visão Estéreo
IC12
- Quantificação da Células Cancerígenas
em Imagens Microscópicas por meio de Processamento Digital de
Imagens
IC13
- Localização de placas de veículos baseada em
regiões de contraste realçadas por operadores
morfológicos
IC14-
Análise de Desempenho de Algoritmos para Estimação
de Movimento em Seqüências de Imagens
IC15-
Classificação de Faces Humanas Usando Extração
de Características Baseada no Conhecimento IC16
- Um Estudo da Influência do Paradigma e Projeto da Linguagem
no Desenvolvimento de Software para Processamento Morfológico
de Imagens: Uma Abordagem Comparativa Envolvendo Engenharia de
Software e Desempenho (Wednesday 14:00 - 15:30) IMAGO Laboratory
Universidade Federal do Paraná, Curitiba, Brazil
Universitat Politécnica de Catalunya, Barcelona, Spain
Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
I. García, J. Linares and J. Santonja Universidad Politécnica de Valencia, Valencia, Spain Xavier PueyoLCAD, High Performance Computing Lab at ICMC-USP Maria Cristina F. de Oliveira and Luis Gustavo NonatoComputer Graphics, Virtual Reality and Visualization Lab at PUCRS Isabel H. Manssour, J.B. de Oliveira and M. Serolli PinhoGRAPHIT Laboratory at UNISINOS
UNISINOS, São Leopoldo, Brazil (Wednesday 16:00 - 17:30)
Instituto de Matemática Pura e Aplicada, Rio de Janeiro, Brazil
Pontifícia Univ. Católica do Rio de Janeiro, Rio de Janeiro, Brazil
Pontifícia Univ. Católica do Rio de Janeiro, Rio de Janeiro, Brazil
Pontifícia Univ. Católica do Rio de Janeiro, Rio de Janeiro, Brazil
Universidade Federal de São Carlos, São Carlos, Brazil
Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
Universidade Federal Fluminense
Universidade Federal de Santa Catarina, Florianópolis, Brazil |