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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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Motion reconstruction using moments analysis

Motion reconstruction using moments analysis

引用

brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： L. Rocha L. Velho P.C.P. Carvalho Estrada Dona Castorina IMPA-Instituto Nacional de Matemática Pura e Aplicada Rio de Janeiro Rio de Janeiro Brazil

this work presents a method for motion reconstruction. the approach is based on image moments and the bsp-tree data structure. We use invariant properties of these moments to construct a bsp-tree and determine a set of ellipses that approximates the object's shape in each frame. these ellipsoidal structures are matched, which allow us to track the object. Motion is represented by the geometric transformations between the sets of ellipses and stored in the hierarchical structure. Motion reconstruction is done by interpolating these transformations.

关键词： Motion analysis image reconstruction Video compression Shape Tracking image motion analysis Animation Ellipsoids Interpolation Data structures

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Navier-Stokes on programmable graphics hardware using SMAC

Navier-Stokes on programmable graphics hardware using SMAC

引用

brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： C.E. Scheidegger J.L.D. Comba R.D. da Cunha Instituto de Informática UFRGS Brazil

Modern programmable graphics hardware offers sufficient computing power to suggest the implementation of traditional algorithms on the graphics processor. this paper describes a complete implementation of a standard technique to solve the incompressible Navier-Stokes fluid equations running entirely on the GPU: the SMAC (simplified marker and cell) method. this method is widely used in engineering applications. the described implementation works with general rectangular domains, with or without obstacles, and with a variety of boundary conditions. Furthermore, we show that our implementation is about sixteen times faster than a reference CPU implementation running on similar cost hardware. Finally, we discuss simple extensions to the method to deal with more general situations, such as free boundary-value problems and three-dimensional domains.

关键词： Hardware computer graphics Navier-Stokes equations Central processing Unit Fluid dynamics Pipelines Computational modeling Power engineering computing Power engineering and energy Boundary conditions

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Visualization of Industrial Structures with Implicit GPU Primitives

Visualization of Industrial Structures with Implicit GPU Pri...

引用

4th International symposium on Visual Computing

作者： de Toledo, Rodrigo Levy, Bruno Petrobras - CENPES/PDP/GR Brazil INRIA - ALICE France

ISBN: (纸本)9783540896388

We present a method to interactively visualize large industrial models by replacing most triangles with implicit CPU primitives: cylinders;cone and torus slices. After a reverse-engineering process that recovers these primitives from triangle meshes;we encode their implicit parameters in a texture that is sent to the CPU. In rendering tune, the implicit primitives are visualized seamlessly with other triangles in the scene. the method was tested on two massive industrial models, achieving better performance and image quality while reducing memory use.

关键词： graphics processing unit

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Moving least squares multiresolution surface approximation

Moving least squares multiresolution surface approximation

引用

brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： B. Mederos L. Velho L.H. De Figueiredo IMPA-Instituto de Matemáica Pura e Aplicada Rio de Janeiro Brazil IMPA-Instituto de Matemática Pura e Aplicada Rio de Janeiro RJ Brazil

We describe a new method for surface reconstruction based on unorganized point clouds without normals. We also present a new algorithm for refining the initial triangulation. the output of the method is a refined tria... 详细信息

关键词： Least squares approximation Surface reconstruction Least squares methods three-dimensional displays Multiresolution analysis Scattering Computational geometry image reconstruction Greedy algorithms Clustering algorithms

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image feature extraction for application of biometric identification of iris - a morphological approach

Image feature extraction for application of biometric identi...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： J. De Mira J. Mayer Center of Paraná – CEFET-PR – Technological Education Federal Ponta Grossa PR Brazil LPDS: Digital Signal Processing Research Laboratory UFSC – Federal University of Santa Catarina – Florianópolis SC Brazil

We present a new approach based on morphological operators for application of biometric identification of individuals by segmentation and analysis of the iris. Algorithms based on morphological operators are developed to segment the iris region from the eye image and also to highlight chosen iris patterns. the extracted features are used to represent and characterize the iris. In order to properly extract the desired patterns, an algorithm is proposed to produce skeletons with unique paths among end-points and nodes. the representation obtained by the morphological processing is stored for identification purposes. To illustrate the efficiency of the morphological approach, some results are presented. the proposed system was derived to present low complexity implementation and low storage requirements.

关键词： Feature extraction Biometrics Iris Data mining Laboratories image segmentation Signal processing algorithms Laplace equations Wavelet transforms Educational technology

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Design of order statistic filters from examples

Design of order statistic filters from examples

引用

brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： N.S.T. Hirata R. Hirata Department Computer Science IME USP Sao Paulo Brazil Science and Technology SENAC College of Computer Sao Paulo Brazil

Order statistic filters form a subclass of the stack filters. the design of stack filters is computationally prohibitive for relatively large windows. A possible approach to overcome this difficulty is to constrain design to a smaller class. We propose an algorithm for the design of optimal order statistic filters from training data, and show how it can also be applied to the design of optimal weighted order statistic filters. Some examples that illustrate the application of the proposed algorithm are presented, with considerations on training time and precision of the designed filter.

关键词： Statistics Filters Algorithm design and analysis Training data Boolean functions computer science Educational institutions Signal mapping Sorting Hamming weight

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A robust linear-parabolic model for lane following

A robust linear-parabolic model for lane following

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： C.R. Jung C.R. Kelber Ciéncias Exatas e Tecnológicas UNISINOS-Universidade do Vale do Rio dos Sinos Sao Leopoldo Rio Grande do Sul Brazil

In this paper we address the problem of lane detection and lane tracking. A linear model is used to approximate lane boundaries in the first frame of a video sequence, using a combination of the edge distribution function and the Hough transform. A new linear-parabolic model is used in the subsequent frames: the linear part of the model is used to fit the near vision field, while the parabolic model fits the far field. the proposed technique demands low computational power and memory requirements, and showed to be robust in the presence of noise, shadows, lack of lane painting and change of illumination conditions.

关键词： Robustness Road vehicles Vehicle detection Video sequences Remotely operated vehicles image edge detection Painting Lighting computer vision Cameras

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Morphological cursive word segmentation

Morphological cursive word segmentation

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： L.R. Veloso R.P. Sousa J.M. De Carvalho Departament of Electrical Engineering University Federal da Paraiba Campina Grande Paraiba Brazil

the work describes a new algorithm for segmentation of handwritten cursive words, based on the following two hypotheses: 1) natural segmentation points (SPs) exist corresponding to disconnected characters; and 2) the physical SPs between connected characters are located in ligatures. the morphological operations of opening and closing are utilized in the determination of word ligatures. A genetic algorithm was employed in the search for the optimum structuring element to determine ligatures.

关键词： Biological cells Morphological operations Genetic algorithms Cost function image segmentation Algorithm design and analysis Histograms Instruction sets Bridges

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image inpainting and denoising by nonlinear partial differential equations

Image inpainting and denoising by nonlinear partial differen...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： C.A.Z. Barcelos M.A. Batista Universidade Federal de Uberländia Uberlandia Minas Gerais Brazil

A new approach is presented for recovering shapes from noisy and damaged images as well as the filling in of missing information or the removal of objects from an image. the procedure allows for the denoising and inpainting of images simultaneously. the denoising is performed by the smoothing equation working inside and outside of the inpainting domain but in completely different ways. Inside the inpainting domain the smoothing is carried out by the mean curvature flow, while the smoothing of the outside of the inpainting domain is carried out in a way to encourage smoothing within a region and discourage smoothing across boundaries. Besides smoothing, the approach here presented permits the transportation of available information from the outside towards the inside of the inpainting domain. this combination permits the simultaneous use of filling-in and differentiated smoothing of different regions of an image. the experimental results show the effective performance of the combination of these two procedures in image restoration.

关键词： Noise reduction Partial differential equations Smoothing methods image restoration Shape Noise shaping Filling Differential equations Transportation image processing

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image micro-pattern analysis using fuzzy numbers

Image micro-pattern analysis using fuzzy numbers

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25th Conference on graphics, Patterns and images, SIBGRAPI 2012

作者： Vieira, Raissa T. De Oliveira Chierici, Carlos Eduardo Ferraz, Carolina T. Gonzaga, Adilson Department of Electrical Engineering University of São Paulo São Carlos Brazil

ISBN: (纸本)9780769548296

this paper proposes a new methodology for micro pattern analysis in digital images based on fuzzy numbers. A micro-pattern is the structure of the gray-level pixels within a neighborhood and can describe the spatial context of the image, such as edge, line, spot, blob, corner, texture, and more complex patterns. By treating a pixel neighborhood as a fuzzy set and each pixel gray-level as a fuzzy number, we can evaluate the membership degree of the central pixel to the others. We have called this method the Local Fuzzy Pattern (LFP). Using a sigmoid membership function, we proved that the proposed methodology surpasses the Hit-rate of the Local Binary Pattern (LBP), for texture classification. the LFP proved to be robust to image rotation. Moreover, our proposed formulation for the LFP is a generalization of previously published techniques, such as Texture Unit, LBP, FUNED, and Census Transform. © 2012 IEEE.

关键词： Local binary pattern

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