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检索条件"任意字段=16th Brazilian Symposium on Computer Graphics and Image Processing"

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Curvature operators in geometric image processing 12

Curvature operators in geometric image processing

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12th brazilian symposium on computer graphics and lmage processing, SIBGRAPI 1999

作者： Mota, C. Gomes, J. VISGRAF Laboratory IMPA-Instituto de Matemática Pura e Aplicada Estrada Dona Castorina 110 Rio de Janeiro RJ22460-320 Brazil Universidade Do Amazonas Av. Gel. R. O. J. Ramos 3000 Manaus AM69077-000 Brazil

ISBN: (纸本)0769504817

We study the problem of reconstructing an image from a perceptual segmentation based on a geometric classification of its points using non-linear curvature filters. We give a mathematical proof that an image can be reconstructed from the regions of non-zero Gaussian curvatures. this result provides the theoretical background for a new theory of non-linear two dimensional signal processing as proposed by Zetzche et al. (1990, 1993). We use curvature measures to detect edges and vertices (roughly two dimensional regions) and show that reconstruction is possible from these elements. © 1999 IEEE.

关键词： image reconstruction

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Face Super-Resolution Using Stochastic Differential Equations 35

Face Super-Resolution Using Stochastic Differential Equation...

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35th SIBGRAPI Conference on graphics, Patterns and images (SIBGRAPI)

作者： dos Santos, Marcelo Laroca, Rayson Ribeiro, Rafael O. Neves, Joao Proenca, Hugo Menotti, David Univ Fed Parana Dept Informat Curitiba Brazil Brazilian Fed Police Natl Inst Criminalist Brasilia Brazil Univ Beira Interior Inst Telecomunicacoes Covilha Portugal

ISBN: (数字)9781665453851

ISBN: (纸本)9781665453851

Diffusion models have proven effective for various applications such as images, audio and graph generation. Other important applications are image super-resolution and the solution of inverse problems. More recently, some works have used stochastic differential equations (SDEs) to generalize diffusion models to continuous time. In this work, we introduce SDEs to generate super-resolution face images. To the best of our knowledge, this is the first time SDEs have been used for such an application. the proposed method provides an improved peak signal-to-noise ratio (PSNR), structural similarity index measure (SSIM), and consistency than the existing super-resolution methods based on diffusion models. In particular, we also assess the potential application of this method for the face recognition task. A generic facial feature extractor is used to compare the super-resolution images with the ground truth, and superior results were obtained compared with other methods. Our code is publicly available at https://***/marcelowds/sr-sde.

关键词： PSNR Inverse problems Face recognition Superresolution Stochastic processes Differential equations Particle measurements

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Multi-Feature Aggregation in Diffusion Models for Enhanced Face Super-Resolution 37

Multi-Feature Aggregation in Diffusion Models for Enhanced F...

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37th SIBGRAPI Conference on graphics, Patterns and images (SIBGRAPI)

作者： dos Santos, Marcelo Laroca, Rayson Ribeiro, Rafael O. Nieve, Joao C. Menotti, David Univ Fed Parana Curitiba Parana Brazil Pontificia Univ Catolica Parana Curitiba Parana Brazil Brazilian Fed Police Brasilia DF Brazil Univ Beira Interior Covilha Portugal

ISBN: (纸本)9798350376043;9798350376036

Super-resolution algorithms often struggle with images from surveillance environments due to adverse conditions such as unknown degradation, variations in pose, irregular illumination, and occlusions. However, acquiring multiple images, even of low quality, is possible with surveillance cameras. In this work, we develop an algorithm based on diffusion models that utilize a low-resolution image combined with features extracted from multiple low-quality images to generate a super-resolved image while minimizing distortions in the individual's identity. Unlike other algorithms, our approach recovers facial features without explicitly providing attribute information or without the need to calculate a gradient of a function during the reconstruction process. To the best of our knowledge, this is the first time multi-features combined with low-resolution images are used as conditioners to generate more reliable super-resolution images using stochastic differential equations. the FFHQ dataset was employed for training, resulting in state-of-the-art performance in facial recognition and verification metrics when evaluated on the CelebA and Quis-Campi datasets. Our code is publicly available at https://***/marcelowds/fasr.

关键词： Stochastic systems

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Proceedings - 12th brazilian symposium on computer graphics and lmage processing, SIBGRAPI 1999

Proceedings - 12th Brazilian Symposium on Computer Graphics ...

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12th brazilian symposium on computer graphics and lmage processing, SIBGRAPI 1999

ISBN: (纸本)0769504817

the proceedings contain 39 papers. the topics discussed include: quasi 4-8 subdivision surfaces;mesh collapse compression;an algorithm for two-dimensional mesh generation for arbitrary regions with cracks;interpolation of scattered data: investigating alternatives for the modified shepard method;visualizing the unseen body: architectural potentials of data modeling;interval methods for ray casting implicit surfaces with affine arithmetic;efficient visualization of graphical objects;multiple display viewing architecture for virtual environments over heterogeneous networks;fast digital perspective shell rendering;piecewise trilinear deformation of tomographic models;control point assessment for image registration;and a methodology for 3D registration of range images for object visualization.

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Enhancing Shallow Neural Networks through Fourier-based Information Fusion for Stroke Classification 34

Enhancing Shallow Neural Networks Through Fourier-based Info...

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34th SIBGRAPI Conference on graphics, Patterns and images (SIBGRAPI)

作者： Roder, Mateus Rosa, Gustavo Henrique Papa, Joao Paulo Guimaraes Pedronette, Daniel Carlos Univ Estadual Paulista Unesp Dept Comp Bauru SP Brazil Univ Estadual Paulista Unesp Dept Estat Matemat Aplicada & Computac Rio Claro Brazil

ISBN: (纸本)9781665423540

Deep learning techniques have been widely researched and applied to several problems, ranging from recommendation systems and service-based analysis to medical diagnosis. Nevertheless, even with outstanding results in some computer vision tasks, there is still much to explore as problems are becoming more complex, or applications are demanding new restrictions that hamper current techniques performance. Several works have been developed throughout the last decade to support automated medical diagnosis, yet detecting neural-based strokes, the so-called cerebrovascular accident (CVA). However, such approaches have room for improvement, such as the employment of information fusion techniques in deep learning architectures. Such an approach might benefit CVA detection as most state-of-the-art models use computer-based tomography and magnetic resonance imaging samples. therefore, the present work aims at enhancing stroke detection through information fusion, mainly composed of original and Fourier-based samples, applied to shallow architectures (Restricted Boltzmann machines). the whole picture employs multimodal inputs, allowing data from different domains (images and Fourier transforms) to be learned together, improving the model's predictive capacity. As the main result, the proposed approach overpassed the baselines, achieving the remarkable accuracy of 99.72%.

关键词： Deep learning graphics Magnetic resonance imaging Neural networks computer architecture Stroke (medical condition) Tomography

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Combining Attention Module and Pixel Shuffle for License Plate Super-Resolution 35

Combining Attention Module and Pixel Shuffle for License Pla...

引用

35th SIBGRAPI Conference on graphics, Patterns and images (SIBGRAPI)

作者： Nascimento, Valfride Laroca, Rayson Lambert, Jorge de A. Schwartz, William Robson Menotti, David Univ Fed Parana Dept Informat Curitiba Brazil Brazilian Fed Police Reg Superintendence Bahia Salvador Brazil Univ Fed Minas Gerais Dept Comp Sci Belo Horizonte Brazil

ISBN: (数字)9781665453851

ISBN: (纸本)9781665453851

the License Plate Recognition (LPR) field has made impressive advances in the last decade due to novel deep learning approaches combined with the increased availability of training data. However, it still has some open issues, especially when the data come from low-resolution (LR) and low-quality images/videos, as in surveillance systems. this work focuses on license plate (LP) reconstruction in LR and low-quality images. We present a Single-image Super-Resolution (SISR) approach that extends the attention/transformer module concept by exploiting the PixelShuffle layers capabilities and that has an improved loss function based on LPR predictions. For training the proposed architecture, we use synthetic images generated by applying heavy Gaussian noise in terms of Structural Similarity Index Measure (SSIM) to the original high-resolution (HR) images. In our experiments, the proposed method outperformed the baselines both quantitatively and qualitatively. the datasets we created for this work are publicly available to the research community at https://***/valfride/lpr-rsr/.

关键词： Training image recognition Surveillance Superresolution Training data computer architecture Noise measurement

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A topological framework for advancing front triangulation

A topological framework for advancing front triangulation

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： E. Medeiros L. Velho H. Lopes Instituto de Matemática Pura e Aplicada Brazil Pontifícia Universidade Católica do Rio de Janeiro Brazil

We study advancing front methods for surface reconstruction. We propose a topological framework based on handlebody theory to implement such methods in a simple and robust way. As an example of the application of this... 详细信息

关键词： Surface reconstruction Robustness Iterative algorithms Application software Solid modeling computer graphics Space technology Reconstruction algorithms Topology Photography

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Revisiting adaptively sampled distance fields 14

Revisiting adaptively sampled distance fields

引用

14th brazilian symposium on computer graphics and image processing, SIBGRAPI 2001

作者： De Figueiredo, Luiz Henrique Velho, Luiz De Oliveira, João Batista IMPA - Instituto de Matemática Pura e Aplicada Portugal Pontifícia Universidade Católica do Rio Grande do Sul Portugal

ISBN: (纸本)0769513301

Implicit surfaces are a powerful shape description for many applications in computer graphics. An implicit surface is defined by a function f:R3 → R as the set of points satisfying f(p)=0. Implicit representation becomes more effective when f is a signed distance function, i.e., when |f| gives the distance to the closest point on the surface and f is negative inside the object and positive outside the object bounded by the surface. the distance function to an arbitrary surface does not have a simple analytic description, and we must resort to approximations. One simple solution is to use a volumetric representation, constructed by sampling f uniformly, but such models are very large and their resolution is limited by the sampling rate. Frisken et al. (2000) proposed adaptively sampled distance fields (ADFs) as a way to overcome these problems. the authors revisit the ADFs and make two contributions to the original framework. First, we analyse the ADF representation and discuss some possible improvements. Second, we show how to compute ADFs more efficiently. © 2001 IEEE.

关键词： computer graphics

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Parallelization of filling algorithms on distributed memory machines using the point containment paradigm 13

Parallelization of filling algorithms on distributed memory ...

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13th brazilian symposium on computer graphics and image processing, SIBGRAPI 2000

作者： Fabris, Antonio Elias Assis, Marcos Machado Ottani Forrest, A. Robin Instituto de Matemática e Estatística Universidade de São Paulo Caixa Postal 66281 São Paulo - SP05315-970 Brazil School of Information Systems University of East Anglia NorwichNR4 7TJ United Kingdom

ISBN: (纸本)0769508782

the Point Containment predicate which specifies if a point is part of a mathematically well-defined object is a crucial problem in computer graphics. Point-driven algorithms can be executed for several points in parallel as there is no interdependence among the computations for different points. this paper presents a variety of parallel configurations to counteract the main disadvantage of the point-driven algorithm: its slowness on a standard uniprocessor software implementation for interactive editing and manipulation. © 2000 IEEE.

关键词： computer graphics

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brazilian symposium of computer Graphic and image processing

Brazilian Symposium of Computer Graphic and Image Processing

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14th brazilian symposium on computer graphics and image processing, SIBGRAPI 2001

ISBN: (纸本)0769513301

the proceedings contain 85 papers. the topics discussed include: ongoing learning for supervised pattern recognition;performance evaluation of prototype selection algorithms for nearest neighbor classification;on reconstructing surfaces of arbitrary topology from a range image;multi-resolution classification trees in OCR design;an OOP approach for mesh generation of multi-region models with NURBS;high-level verification of handwritten numeral strings;discrete scale spaces via heat equation;hybrid human-machine non-linear filter design using envelopes;procedural models on image synthesis for ocean animation;fast multidimensional parallel Euclidean distance transform based on mathematical morphology;connected filtering by gray-level classification through morphological histogram processing;multi-bands image analysis using local fractal dimension;microarray gridding by mathematical morphology;procedural shape synthesis on subdivision surfaces;and dynamic algorithm binding for interactive walkthroughs.

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