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检索条件"任意字段=14th Brazilian Symposium on Computer Graphics and Image Processing"

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Efficient Edgebreaker for surfaces of arbitrary topology

Efficient Edgebreaker for surfaces of arbitrary topology

引用

brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： T. Lewiner H. Lopes J. Rossignac A.W. Vieira Departamento de Matemática PUC-Rio Rio de Janeiro Brazil Géométrica Project INRIA Sophia-Antipolis France GVU Center GaTech Atlanta USA

the typical surface models handled by contemporary computer graphics applications have millions of triangles and numerous connected component, handles and boundaries. Edgebreaker and Spirale Reversi are examples of efficient schemes to compress and decompress their connectivity. A surprisingly simple linear-time implementation has been proposed for triangulated surfaces homeomorphic to a sphere and was subsequently extended to surfaces with handles. Here, we further extend its scope to surfaces with multiple components, handles, and multiple boundaries. the result is a simple and efficient compression/decompression solution for the broad class of orientable manifold surfaces.

关键词： Topology image coding computer graphics Surgery Application software Data structures Transform coding Geometry image reconstruction Performance evaluation

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image-based texture analysis for realistic image synthesis

Image-based texture analysis for realistic image synthesis

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： H. Mayer Computer Graphics and Vision Graz University of Technology Graz Austria

We present a method to measure reflectance and texture of surfaces in a one step process. For later use in digital image synthesis, it is mandatory to separate the gathered intensity values into these two parts to eliminate highlighting artifacts from textures. Our image based measurement system delivers bidirectional reflectance distribution function (BRDF) values distributed over the surface of the material under investigation. After fitting a reflectance model to the gathered data, we estimate the modulation of the diffuse reflectance coefficient which represents the texture. the last step analyzes the texture to get a parameterized and compact description of the measured surface properties. these results allow us to apply the gathered surface properties to objects with arbitrary shape and size. To keep the measurement system simple, a standard CCD camera and light source are used.

关键词： image analysis image texture analysis image generation Reflectivity Surface fitting Surface texture Digital images Bidirectional control Distribution functions Shape

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Vector field reconstruction from sparse samples with applications

Vector field reconstruction from sparse samples with applica...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Marcos Lage Fabiano Petronetto Afonso Paiva Helio Lopes thomas Lewiner Geovan Tavares PUC-Rio-Departamento de Matemática Laboratório Matmídia Rio de Janeiro Brazil

We present a novel algorithm for 2D vector field reconstruction from sparse set of points-vectors pairs. Our approach subdivides the domain adaptively in order to make local piecewise polynomial approximations for the field. It uses partition of unity to blend those local approximations together, generating a global approximation for the field. the flexibility of this scheme allows handling data from very different sources. In particular, this work presents important applications of the proposed method to velocity and acceleration fields' analysis, in particular for fluid dynamics visualization

关键词： Least squares approximation Function approximation image reconstruction Computational modeling Hydrodynamics Acceleration computer graphics computer simulation Partitioning algorithms Deformable models

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Expression Transfer between Photographs through Multilinear AAM's

Expression Transfer between Photographs through Multilinear ...

引用

brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Ives Macedo Emilio Vital Brazil Luiz Velho IMPA-Instituto Nacional de Matemática Pura e Aplicada Brazil

Expression transfer is a method for mapping a photographed expression performed by a given subject onto the photograph of another person's face. Building on well succeeded previous works by the vision researchers (facial expression decomposition, active appearance models and multilinear analysis, we propose a novel approach for expression transfer based on color images. We attack this problem with methods developed by the computer vision community for facial expression analysis and recognition. Combining active appearance models and multilinear analysis, it's possible to suitably represent and analyze expressive facial images, while separating both style (subject's identity) and content (expressive flavor) from the captured performance

关键词： Active appearance model Tensile stress Facial animation image databases image analysis image color analysis Performance analysis Visual databases Face detection computer vision

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Automatic Football Match Event Detection from the Scoreboard using a Single-Shot MultiBox Detector 14

Automatic Football Match Event Detection from the Scoreboard...

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14th International Joint symposium on Artificial Intelligence and Natural Language processing, iSAI-NLP 2019

作者： Somwong, Rungroj Hnoohom, Narit Mahidol University Department of Computer Engineering Image Nakorn Pathom Thailand

ISBN: (纸本)9781728156316

During a football match, the information is manually collected by humans. However, the correctness of the football match data is difficult to check because of the game's speed, and thus, human errors can occur. this paper presents an automatic football match event detection from the scoreboard using a deep learning algorithm. the proposed method can reduce human error and performs the detection faster. In this study, the detection was trained with 30, 000 data of Goals, Substitutions and Cards scoreboard from 68 matches of English Premier League 2017-2018 broadcast videos. the detection was tested with 80 sub-Testing videos. these videos were prepared from 20 full matches broadcast videos, which consisted of 12 full matches from the year 2017-2018 and 8 full matches from the year 2018-2019. the proposed method contains three main steps: data gathering and augmentation, object detection for scoreboard visualization forms, and the event classification. the scoreboard detection is performed with a Single-Shot MultiBox Detector. the event classification employs the majority vote and time frame technique. the experimental results show an accuracy rate of 1.00 with the expected event scoreboards, comprised of Goal, Substitution, and Card events. © 2019 IEEE.

关键词： Object detection

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Area fractions by linear analysis of intensity level histograms

Area fractions by linear analysis of intensity level histogr...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： J.A.T.B. da Costa Departamento de Física CCNE Universidade Federal de Santa Maria Santa Maria Rio Grande do Sul Brazil

Linear analysis of intensity level histograms is proposed as a method to determine the area fractions of homogeneous components of images. the area fractions are the coefficients of the respective histograms in the linear combination that best fits the histogram of the entire image. this method can be applied whenever the components can be identified by their individual histograms which must be linearly independent. Its accuracy was tested for images of real surfaces that were edited to contain known fractions of the components, and it proved to be suitable for the analysis of images made of textured components that show large overlapping of their histograms.

关键词： Histograms image segmentation Pixel image analysis Testing image texture analysis image processing Surface texture Independent component analysis Vegetation mapping

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Data-based motion simulation through a Green's function approach

Data-based motion simulation through a Green's function appr...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： P.E. Ferreira J.R.A. Torreao P.C.P. Carvalho Laboratório Visgraf IMPA Instituto Nacional de Matemática Pura e Aplicada Rio de Janeiro Rio de Janeiro Brazil Instituto de Computação Universidade Federal Fluminense Niteroi Rio de Janeiro Brazil

We describe a data-driven motion simulation algorithm based on an affine image-matching equation. Solving such equation via the Green's function approach, we have obtained a pair of filters which, when applied over an input image, allow the generation of virtual sequences that convey a compelling motion impression. Complex rigid and nonrigid motions have been simulated this way, such as those of a pulsating heart, a twig in the wind and a levitating ball.

关键词： Green's function methods Equations Computational modeling Optical filters Optical variables control image motion analysis image generation computer simulation computer graphics Layout

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Arc-length based curvature estimator

Arc-length based curvature estimator

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： T. Lewiner J.D. Gomes H. Lopes M. Craizer Departamento de Matemática PUC-Rio Rio de Janeiro Brazil Géométrica Project INRIA Sophia-Antipolis France

Many applications of geometry processing and computer vision rely on geometric properties of curves, particularly their curvature. Several methods have been proposed to estimate the curvature of a planar curve, most of them for curves in digital spaces. this work proposes a new method for curvature estimation based on weighted least square fitting and local arc-length approximation. Convergence analysis of this method and noise impact on the estimator accuracy are given. Numerical robustness issues are addressed with practical solutions. the implementation of the method is compared to other curvature estimation methods.

关键词： Least squares approximation Application software computer vision Computational geometry Curve fitting image reconstruction computer graphics Sampling methods Noise robustness Particle measurements

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A Link Between the Multiplicative and Additive Functional Asplund's Metrics 14th

A Link Between the Multiplicative and Additive Functional As...

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14th International symposium on Mathematical Morphology (ISMM)

作者： Noyel, Guillaume Univ Strathclyde Inst Global Publ Hlth Lyon France Int Prevent Res Inst Lyon France

ISBN: (纸本)9783030208677;9783030208660

Functional Asplund's metrics were recently introduced to perform pattern matching robust to lighting changes thanks to double-sided probing in the Logarithmic image processing (LIP) framework. Two metrics were defined, namely the LIP-multiplicative Asplund's metric which is robust to variations of object thickness (or opacity) and the LIP-additive Asplund's metric which is robust to variations of camera exposure-time (or light intensity). Maps of distances - i.e. maps of these metric values - were also computed between a reference template and an image. Recently, it was proven that the map of LIP-multiplicative Asplund's distances corresponds to mathematical morphology operations. In this paper, the link between both metrics and between their corresponding distance maps will be demonstrated. It will be shown that the map of LIP-additive Asplund's distances of an image can be computed from the map of the LIP-multiplicative Asplund's distance of a transform of this image and vice-versa. Both maps will be related by the LIP isomorphism which will allow to pass from the image space of the LIP-additive distance map to the positive real function space of the LIP-multiplicative distance map. Experiments will illustrate this relation and the robustness of the LIP-additive Asplund's metric to lighting changes.

关键词： Pattern Recognition Insensitivity to lighting changes Logarithmic image processing Mathematical Morphology Asplund's metric Double-sided probing Relation between functional Asplund's metrics

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Exploratory visualization based on multidimensional transfer functions and star coordinates

Exploratory visualization based on multidimensional transfer...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Alex Laier Bordignon Rener Castro Helio Lopes thomas Lewiner Geovan Tavares Departamento de Matemática-Matmídia Project PUC-Rio Rio de Janeiro Brazil

Exploration and analysis of multivariate data play an important role in different domains. this work proposes a simple interface prototype that allows a human user to visually explore multivariate spatial objects, such as images, sequence of images or volume. It uses star coordinates as a widget to display the multivariate data on the computer 2D screen. the user then identifies a feature on this powerful coordinate system by mapping a selected feature region on that widget to a color and opacity. As a visual result, the feature is rendered on the object's space composing the use of this maps and the star coordinates projection. Some examples illustrate the potential of this interface

关键词： Multidimensional systems Transfer functions Data visualization computer displays Data analysis Prototypes Rendering (computer graphics) Humans Two dimensional displays Geology

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