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Hybrid Cloud Rendering System for Massive CAD Models

Hybrid Cloud Rendering System for Massive CAD Models

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： André Moreira Paulo Ivson Waldemar Celes Tecgraf Institute and Computer Science Department Pontifical Catholic University of Rio de Janeiro PUC-Rio Rio de Janeiro Brazil

The recent advances in cloud services enable an increasing number of applications to offload their intensive tasks to remote computers. Cloud rendering comprises a set of services capable of rendering a 3D scene on a remote workstation. Notable progress in this field has been made by cloud gaming services. However, a gap remains between existing cloud rendering systems and other graphics-intensive applications, such as visualization of computer-Aided Design (CAD) models. Existing cloud gaming services are not suitable to efficiently render these particular 3D scenes. CAD models contain many more objects than a regular game scene, requiring specific assumptions and optimizations to deliver an interactive user experience. In this work, we discuss and propose a novel hybrid cloud rendering system for massive 3D CAD models of industrial plants. The obtained results show that our technique can achieve high frame rates with satisfactory image quality even in a constrained environment, such as a high latency network or obsolete computer hardware.

关键词： Rendering (computer graphics) Servers Solid modeling Delays Cloud computing Three-dimensional displays Computational modeling

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Scene Conversion for Physically-Based Renderers

Scene Conversion for Physically-Based Renderers

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Luiza Hagemann Manuel M. Oliveira Instituto de Informática - UFRGS Porto Alegre RS Brazil

Physically-based rendering systems use proprietary scene description formats. Thus, by selecting a given renderer for the development of a new technique, one is often constrained to test and demonstrate it on the limited set of test scenes available for that particular renderer. This makes it difficult to compare techniques implemented on different systems. We present a solution for automatic conversion among scene description formats used by physically-based rendering systems. It enables algorithms implemented on different renderers to be tested on the same scene, providing better means of assessing their strengths and limitations. Our system can be integrated with development and benchmarking APIs, lending to full orthogonality among algorithms, rendering systems, and scene files.

关键词： Rendering (computer graphics) Shape Metals Cameras Benchmark testing Monte Carlo methods XML

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Improving Face Detection Performance by Skin Detection Post-processing 30

Improving Face Detection Performance by Skin Detection Post-...

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30th SIBGRAPI Conference on graphics, Patterns and images Tutorials (SIBGRAPI-T)

作者： Lucena, Oeslle Oliveira, Italo de P. Veloso, Luciana Pereira, Eanes Univ Campinas UNICAMP Campinas Brazil Fed Univ Campina Grande UFCG Campina Grande Brazil

ISBN: (纸本)9781538622193

Face detection is already incorporated in many biometrics and surveillance applications. Therefore, the reduction of false detections is a priority in those systems. However, face detection is still challenging. Many factors, such as pose variation and complex backgrounds, contribute to false detections. Besides, the fidelity of a true detection, measured by precision rate, is a concern in content-based information retrieval. Following those issues, combinations of methods are developed focusing on balancing the trade-off between hit-rate and miss-rate. In this paper, we present an approach that improves face detection based on a post-processing of skin features. Our method enhanced the performance of weak detectors using a straightforward and low complex skin percentage threshold constraint. Furthermore, we also present a statistical analysis comparing our approach and two face detectors, under two different conditions for skin detection training, using a robust dataset for testing. The experimental results showed a significant drop in the number of false positives, reducing in 53%, while the precision rate was elevated in almost 5% when the Viola-Jones approach was used as face detector.

关键词： Face detection Skin detection Performance Improvement Post-processing

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A Photon Tracing Approach to Solve Inverse Rendering Problems

A Photon Tracing Approach to Solve Inverse Rendering Problem...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Ignacio Avas Eduardo Fernández Centro de Cálculo Universidad de la República Montevideo-Uruguay

Lighting intentions are the goals and constraints that designers like to achieve in a lighting design process. In this context, rendering problems are the kind of problems based on the rendering equation that are proposed to satisfy a set of lighting intentions. These problems are usually expressed as optimization problems. In this article is presented a novel method based on photon tracing, the VNS optimization metaheuristic, and the determination of the number of photons needed, which allows to handle a wider variety of lighting intentions without incurring in high computational costs. Moreover, the method developed shows to be efficient when the geometry is also a variable in the rendering problem. The techniques explained here could be included in a package used by architects or designers to aid in the lighting design process of architectural environments.

关键词： Photonics Lighting Optimization Rendering (computer graphics) Geometry Mathematical model Linear programming

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Asynchronous Stroboscopic Structured Lighting image processing Using Low-Cost Cameras

Asynchronous Stroboscopic Structured Lighting Image Processi...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Frank Helbert Borsato Carlos Hitoshi Morimoto Federal University of Technology Paraná University of São Paulo

Structured lighting (SL) image processing relies on the generation of known illumination patterns synchronized with the camera frame rate and is commonly implemented using syncing capable cameras. In general, such cameras employ global shutters, that exposes the whole frame at once. However, most modern digital cameras use rolling shutters, which expose each line at different intervals, impairing most structured lighting applications. In this paper we introduce an asynchronous SL technique that can be used by any rolling shutter digital camera. While the use of stroboscopic illumination partially solves for the line exposure shift, the phase difference between the camera and lighting clocks results in stripe artifacts that move vertically in the video stream. These stripes are detected and tracked using a Kalman filter. Two asynchronous stroboscopic SL methods are proposed. The first method, image differencing, minimizes the stripe artifacts. The second method, image compositing, completely removes the artifacts. We demonstrate the use of the asynchronous differential lighting technique in a pupil detector using a low-cost high-speed camera with no synchronization means, with the lighting running independently at a higher, unknown frequency to the application.

关键词： Lighting Synchronization Frequency synchronization Clocks Software Digital cameras

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Deep Transfer Learning for Segmentation of Anatomical Structures in Chest Radiographs

Deep Transfer Learning for Segmentation of Anatomical Struct...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Hugo Oliveira Jefersson dos Santos Department of Computer Science Universidade Federal de Minas Gerais Minas Gerais

Segmentation of anatomical structures in Chest Posterior-Anterior Radiographs is a classical task on biomedical image analysis. Deep Learning has been widely used for detection and diagnosis of illnesses in several medical image modalities over the last years, but the portability of deep methods is still limited, hampering the reusability of pre-trained models in new data. We address this problem by proposing a novel method for Cross-Dataset Transfer Learning in Chest X-Ray images based on Unsupervised image Translation architectures. Our Transfer Learning approach achieved Jaccard values of 88.20% on lung field segmentation in the Montgomery Set by using a pre-trained model on the JSRT dataset and no labeled data from the target dataset. Several experiments in unsupervised and semi-supervised transfer were performed and our method consistently outperformed simple fine-tuning when a limited amount of labels is used. Qualitative analysis on the tasks of clavicle and heart segmentation are also performed on Montgomery samples and pre-trained models from JSRT dataset. Our secondary contributions encompass several experiments in anatomical structure segmentation on JSRT, achieving state-of-the-art results in lung field (96.02%), heart (89.64%) and clavicle segmentation (87.30%).

关键词： image segmentation Task analysis Lung computer architecture Heart Biomedical imaging Semantics

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A Computational Method for Interactive Design of Marbling Patterns

A Computational Method for Interactive Design of Marbling Pa...

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brazilian symposium on Games and Digital Entertainment (SBGAMES)

作者： Mario Gazziro João Paulo Gois Candy Tenorio Gonzales José F. Rodrigues Federal University of ABC Santo André Brazil Universidade de Sao Paulo Sao Paulo SÃ£o Paulo BR University oj São Paulo São Paulo Brazil

ISBN: (数字)9781538696057

ISBN: (纸本)9781538696064

Paper marbling is a painting process where the artist makes use of special tools to carefully interact with paints deposited on an aqueous surface to produce marblelike paintings transferred to an absorbent paper. In this work, we present an interactive and intuitive application that simulates the marbling process digitally in real-time. To this end, we first map the artist tools into a simple and intuitive user interface. Secondly, we employ a Navier-Stokes equations solver on the GPU with a multi-layer approach to handling multiple colored paints with support to lighting and paints undulations. Our system accomplishes interactive frame-rates while manipulating tens of distinct colored paints, a requisite to applications like digital games. Results show the effectiveness of our real-time digital marbling system, providing to the artists an intuitive work interface.

关键词： Paints graphics processing units Rendering (computer graphics) image color analysis Fluid flow Fluids Painting

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Robust Feature Spaces from Pre-Trained Deep Network Layers for Skin Lesion Classification

Robust Feature Spaces from Pre-Trained Deep Network Layers f...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Fernando Pereira dos Santos Moacir Antonelli Ponti Institute of Mathematical and Computer Sciences (ICMC) University of São Paulo (USP) São Carlos SP Brazil

The incidence of skin cancer in the world population is a public health concern, and the first diagnosis takes into account the appearance of lesions on skin. In this context, automated methods to aid the screening for malign lesions can be an important tool. However, the efficiency of developed methods depends directly on the quality of the generated feature space which may vary when considering different image datasets and sources. We present a detailed study of feature spaces obtained from deep convolutional networks (CNNs), using the benchmark PH2 dataset, considering three CNN architectures, as well as investigating different layers, impact of dimensionality reduction, use of colour quantisation and noise addition. Our results show that, features have discriminative capability comparable to competing methods with balanced accuracy 94%, and 95% with noise injection. Additionally, we present a study of fine-tuning and generalisation across image quantisation and noise levels, contributing to the discussion of learning features from deep networks and offering a guideline for future works.

关键词： Feature extraction Lesions Skin image color analysis Skin cancer Radio frequency

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Video Denoising Quality Assessment for Different Noise Distributions

Video Denoising Quality Assessment for Different Noise Distr...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Rafael Lucien Bahr Arias Alan Salvany Felinto Department of Computer Science Londrina State University (UEL) Londrina PR Brazil

Denoising algorithms often presume a single noise model, for instance, Gaussian noise, but it has been observed that during acquisition, image and video sequences can be corrupted by different types of noise, which follow a distinct probability distribution model depending on the application. This paper aims to compare the performance of several denoising algorithms, among them Non-Local Means and Block-Matching 3D, and other classical techniques such as median, Gaussian, bilateral and anisotropic diffusion, by simulating different noise distributions in videos and comparing the methods efficiency in multiple scenarios. Objective evaluation uses structural similarity (SSIM) and provides video specific assessment scores with NTIA Video Quality Metric (VQM). Results show considerable differences between intraframe and interframe filtering quality, while variations in filtering responses to each type of noise contribute to more appropriate selection of techniques to noise reduction and provide insight to noise difficulty levels.

关键词： Noise reduction Quality assessment Noise measurement Standards Gaussian noise Anisotropic magnetoresistance

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Convolutional Neural Networks for Static and Dynamic Breast Infrared Imaging Classification

Convolutional Neural Networks for Static and Dynamic Breast ...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Matheus de Freitas Oliveira Baffa Lucas Grassano Lattari Department of Computer Science Federal Institute of Southeast of Minas Gerais Rio Pomba MG Brazil

Breast cancer is the most frequent type of cancer among women. Since early diagnosis provides a better prognosis, different techniques have been developed by researchers all over the world. Several studies proved the efficiency of infrared image as a breast cancer screening technique. This paper proposes a methodology for analyzing infrared thermography of breast, considering distinct protocols, in order to classify patients images as healthy or non-healthy due to anomalies such as cancer. The major contribution of this work is to provide accurate classification using Convolutional Neural Networks, which were not exploited in previous works. Many methods relies on handcrafted features and traditional classificators, such as Support Vector Machines. We obtained competitive results compared to other works and we design an appropriate modelling which takes advantage of this type of deep learning architecture. Our proposal obtained 98% of accuracy for static protocol and 95% for dynamic protocol.

关键词： Protocols Breast cancer Feature extraction Infrared imaging Support vector machines

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