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检索条件"任意字段=Brazilian Symposium on Computer Graphics and Image Processing"

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A Comparison of Global Illumination Methods Using Perceptual Quality Metrics 28

A Comparison of Global Illumination Methods Using Perceptual...

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28th SIBGRAPI Conference on graphics, Patterns and images SIBGRAPI

作者： Meneghel, Giovani Balen Netto, Marcio Lobo Univ Sao Paulo Escola Politecn Dept Engn Sistemas Eletr Sao Paulo Brazil

ISBN: (纸本)9781467379625

This work aims to build a comparison basis for analyzing global illumination methods. We have compared six state-of-the-art global illumination methods, ranging from Monte Carlo Path Tracing techniques to Density Estimation methods such as Progressive Photon Mapping, and the mixture approach Vertex Connection and Merging, using nine test scenes with very different characteristics, including many different light types, illumination conditions and BRDFs, exploring many different light scattering events. In order to compare results, the perceptual quality metrics SSIM and HDR-VDP-2 were used. We provide a complete set of convergence rate curves and results for all test scenes and all analyzed methods. We also discuss strategies to generate reference images for each case. We concluded that in general cases the overhead introduced by BPT and VCM is well compensated by the quality of the produced images, however VCM can handle more interesting effects. We also showed there are usual cases such as interiors with strong indirect illumination in which Light Tracing method excels.

关键词： Global illumination image synthesis image quality metrics Perceptual quality Ray tracing

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Real-Time Local Unfolding for Agents Navigation on Arbitrary Surfaces 28

Real-Time Local Unfolding for Agents Navigation on Arbitrary...

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28th SIBGRAPI Conference on graphics, Patterns and images SIBGRAPI

作者： Berndt, Iago U. Maciel, Anderson Torchelsen, Rafael P. Univ Fed Rio Grande do Sul Inst Informt INF Porto Alegre RS Brazil Fed Univ Pelotas UFPel Ctr Desenvolvimento Tecnol CDTec Pelotas Brazil

ISBN: (纸本)9781467379625

Agents path planning is an essential part of games and crowd simulations. In those contexts they are usually restricted to planar surfaces due to the huge computational cost of mapping arbitrary surfaces to a plane without distortions. Mapping is required to benefit from the lower computational cost of distance calculations on a plane (Euclidean distance) when compared to distances on arbitrary surfaces (Geodesic distance). Although solutions have been presented, none have properly handled non-planar surfaces around the agent. In this paper we present mesh parametrization techniques to unfold the region around the agent allowing to extend to arbitrary surfaces the use of existing path planning algorithms initially designed only for planar surfaces. To mitigate the high computational cost of unfolding the entire surface dynamically, we propose pre-processing stages and massive parallelization, resulting in performances similar to that of using a planar surface. We also present a GPU implementation schema that permits a solution to be computed in real-time allowing agents to navigate on deformable surfaces that require dynamic unfolding of the surface. We present results with over 100k agents to prove the approach practicality.

关键词： path planning agents computer graphics

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CloudArray: Easing huge image processing

CloudArray: Easing huge image processing

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IEEE International symposium on Geoscience and Remote Sensing (IGARSS)

作者： André Lage-Freitas Alejandro C. Frery Naelson D. C. Oliveira Raphael P. Ribeiro Rivo Sarmento Laboratório de Computação Científica e Análise Numérica (LaCCAN) Universidade Federal de Alagoas (UFAL) Maceió Brazil

ISBN: (纸本)9781509033331

image processing algorithms require high processing capabilities. Most of these algorithms use linear algebraic operations (BLAS), for instance, through the Combinatorial BLAS [1], and Elemental [2] programming supports. Such operations may require unavailable computer processing resources. CloudArray is funded by Microsoft Azure Research Award, brazilian National Council for Scientific and Technological Development (CNPq), and Alagoas Research Foundation (FAPEAL).

关键词： Cloud computing Distributed databases image processing Programming computers Loading Containers

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Hybrid Modeling Graphic images to Urban Scene

Hybrid Modeling Graphic Images to Urban Scene

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International symposium on Computational Intelligence and Design, ISCID

作者： Dan Li Dongdong Hu Haoran Wu Guanjun Gong School of Computer Science & Technology Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781509035595

Urban scene modeling is a promising research subject, for it plays an important role in the areas of national defense, transportation, urban planning, and entertainment industries. Researchers have been looking forward to the breakthroughs in improving the level of photorealism and the performance. This paper discusses the implementation of the simulation of certain parts of city scene. We use the graphics mixed modeling to generate a variety of architectural models. graphics hybrid modeling is a method to generate 3D models of given objects by conducting image processing and 3D calculation on geometric characteristics extracted from their three-view drawings. Experiments show that the method of large-scale scene image hybrid modeling improves the rendering efficiency without decreasing the level of photorealism.

关键词： Solid modeling Buildings Three-dimensional displays Data models Computational modeling Cameras Rendering (computer graphics)

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Detection of Leukocytes in Intravital Video Microscopy Based on the Analysis of Hessian Matrix Eigenvalues 28

Detection of Leukocytes in Intravital Video Microscopy Based...

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28th SIBGRAPI Conference on graphics, Patterns and images SIBGRAPI

作者： Gregorio da Silva, Bruno C. Ferrari, Ricardo J. Carvalho-Tavares, Juliana Univ Fed Sao Carlos Dept Comp Sci Sao Carlos SP Brazil Univ Fed Minas Gerais Dept Physiol & Biophys Belo Horizonte MG Brazil

ISBN: (纸本)9781467379625

Detection of rolling and adhered leukocytes in intravital microscopy image sequences is an important task in studies of leukocyte-endothelial interactions in the microcirculation of living small animals under different inflammatory conditions. This procedure is usually performed by visual assessment of the image sequences. However, despite being tedious and time consuming, this procedure is prone to the inter-and intraobserver variability. In this work, we developed an automated computer system for the detection of leukocytes in intravital video microscopy. First, the video frames were processed by the bilateral filter to reduce noise while preserving sharp edges. Then, a demons-based image registration technique was applied to minimize animal motion. Finally, the detection of leukocytes was performed by local analysis of Hessian matrix eigenvalues. Quantitative and qualitative evaluation of the proposed method were conducted by using 220 video frames obtained from an experimental study performed on the brain microvasculature of mice. The proposed method was compared with the template matching technique using precision, recall and F1-Score measures. For the Hessian-based method, the results of precision, recall and F1-Score were, respectively, equal to 0.81, 0.86, and 0.83. For direct comparison, the results obtained for the template matching technique were 0.86, 0.73 and 0.79.

关键词： detection of leukocytes intravital video microscopy temporal image registration

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Using Change-Sets to Achieve a Bounded Undo and Make Tutorials in 3D Version Control Systems

Using Change-Sets to Achieve a Bounded Undo and Make Tutoria...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Rafael S. T. Vieira Joaquim B. Cavalcante-Neto Creto Augusto Vidal Guillaume Vialaneix Claudio T. Silva Computer Science Department Federal University of Ceará (UFC) Fortaleza Brazil Computer Science and Engineering Department NYU-Poly New York City US

ISBN: (纸本)9781509035694;9781509035687

A system that records changes made to a file is called a Version Control System (VCS). Even thought VCSs may store all kind of files, we focus on changes made to polygonal meshes files. Our method allows the user to track the history of topological and geometrical changes to part of a model. This part is selected through a bounding box selection mechanism, and the user can track the change-sets of the selected mesh subset, i.e., the user can see the difference between any consecutive versions of the modeling sequence. With that mechanism, it is possible to construct a sub-tree associated with the selected region to serve as a tutorial on how that part was modeled. That sub-tree also allows the user to undo local changes that do not propagate to the whole mesh. That, so called, bounded undo is an important feature of our method. Despite the important contributions, we also point out some current limitations to our method and discuss ways that might overcome them.

关键词： Three-dimensional displays Control systems Optimized production technology Tutorials Software Geometry Topology

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Seeing Multithreaded Behavior Using TSGL

Seeing Multithreaded Behavior Using TSGL

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IEEE International symposium on Parallel and Distributed processing Workshops and Phd Forum (IPDPSW)

作者： Joel C. Adams Patrick A. Crain Christopher P. Dilley Dept. of Computer Science Calvin College Grand Rapids MI USA

ISBN: (纸本)9781509036837

Since multicore processors are now the architectural standard and parallel computing is in the core CS curriculum, educators must create pedagogical materials and tools to help students master parallel abstractions and concepts. This paper describes the thread safe graphics library (TSGL), a tool by which an educator can add graphics calls to a working multithreaded program in order to make visible the underlying parallel behavior. Using TSGL, an instructor (or student) can create parallel visualizations that clearly show the parallel patterns or techniques that a given program is using, allowing students to see the parallel behavior in near real-time as the program is running. TSGL includes many examples that illustrate its use, this paper presents a representative sample that can be used, either in a lecture or a self-paced lab format.

关键词： Instruction sets Multicore processing Libraries graphics Hardware image color analysis Real-time systems

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Improving Non-local Video Denoising with Local Binary Patterns and image Quantization

Improving Non-local Video Denoising with Local Binary Patter...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Welinton A. Contato Tiago S. Nazare Gabriel B. Paranhos da Costa Moacir Ponti João E. S. Batista Neto Instituto de Ciências Matemáticas e de Computação (ICMC) Universidade de São Paulo (USP) São Carlos SP Brazil Inst. de Cienc. Mat. e de Comput. (ICMC) Universidade de Sao Paulo Sao Paulo SÃ£o Paulo BR

The most challenging aspect of video and image denoising is to preserve texture and small details, while filtering out noise. To tackle such problem, we present two novel variants of the 3D Non-Local Means (NLM3D) which are suitable for videos and 3D images. The first proposed algorithm computes texture patterns for each pixel by using the LBP-TOP descriptor to modify the NLM3D weighting function. It also uses MSB (Most Significant Bits) quantization to improve robustness to noise. The second proposed algorithm filters homogeneous and textured regions differently. It analyses the percentage of non-uniform LBP patterns of a region to determine whether or not the region exhibits textures and/or small details. Quantitative and qualitative experiments indicate that the proposed approaches outperform well known methods for the video denoising task, especially in the presence of textures and small details.

关键词： Noise reduction Three-dimensional displays Gray-scale Histograms Quantization (signal) Two dimensional displays image denoising

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Simultaneously Estimation of Super-Resolution images and Depth Maps from Low Resolution Sensors 28

Simultaneously Estimation of Super-Resolution Images and Dep...

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28th SIBGRAPI Conference on graphics, Patterns and images SIBGRAPI

作者： Mesquita, Daniel B. Nascimento, Erickson R. Campos, Mario F. M. Univ Fed Minas Gerais Dept Comp Sci Belo Horizonte MG Brazil

ISBN: (纸本)9781467379625

The emergence of low cost sensors capable of providing texture and depth information of a scene is enabling the deployment of several applications such as gesture and object recognition and three-dimensional reconstruction of environments. However, commercially available sensors output low resolution data, which may not be suitable when more detailed information is necessary. With the purpose of increasing data resolution, at the same time reducing noise and filling the holes in the depth maps, in this work we propose a method that combines depth fusion and image reconstruction in a super-resolution framework. By joining low-resolution intensity images and depth maps in an optimization process, our methodology creates new images and depth maps of higher resolution and, at the same time, minimizes issues related with the absence of information (holes) in the depth map. Our experiments show that the proposed approach has increased the resolution of the images and depth maps without significant spawning of artifacts. Considering three different evaluation metrics, our methodology outperformed other three techniques commonly used to increase the resolution of combined images and depth maps acquired with low resolution, commercially available sensors.

关键词： Super-resolution convex optimization RGB-D data 3D reconstruction computer vision

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Accelerating Big Data processing chain in image Information Mining using a hybrid HPC approach

Accelerating Big Data processing chain in Image Information ...

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IEEE International symposium on Geoscience and Remote Sensing (IGARSS)

作者： Kuldeep R. Kurte Ujwala M. Bhangale Surya S. Durbha Roger L. King Nicolas H. Younan IIT Bombay Centre of Studies in Resources Engineering Mumbai India Department of Electrical and Computer Engineering Mississippi State University Starkville USA

The recent development in sensor technology shows the unprecedented growth of Remote Sensing (RS) data archives-Big Data. However, this growth in RS archives has resulted in many processing challenges. The three V's of big data- Volume, Velocity and Variety is highly relevant in situations such as flood, earthquake disaster, where real/near real time processing of data from different RS data sources is vital to deploy rescue operations. In this work, we have demonstrated a high-performance analytics approach- Message Passing Interface (MPI) along with the emerging graphics processing Units (GPUs) (i.e. hybrid MPI+GPU) technology to overcome the big data processing limitation. The different processing/analysis stages of our Spatial image Information Mining (SIIM) system are parallelized using the above approach. The experimental results for parallel segmentation process show the applicability of MPI+GPU hybrid approach in disaster scenario.

关键词： image segmentation graphics processing units Big data Acceleration Data mining Feature extraction Remote sensing

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