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25th conference on graphics, patterns and images, sibgrapi 2012

ISBN: (纸本)9780769548296

the proceedings contain 45 papers. the topics discussed include: segmentation of large images with complex networks;colorization by multidimensional projection;an efficient algorithm for fractal analysis of textures;histogram uniformization for digital image encryption;solving image puzzles with a simple quadratic programming formulation;open set source camera attribution;image micro-pattern analysis using fuzzy numbers;approximating implicit curves on triangulations with affine arithmetic;ESQ: editable SQuad representation for triangle meshes;connectivity oblivious merging of triangulations;efficient HPR-based rendering of point clouds;memory-efficient order-independent transparency with dynamic fragment buffer;ambient occlusion using cone tracing with scene voxelization;rapid visualization of geological concepts;and robust patch-based pedestrian tracking using monocular calibrated cameras.

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Proceedings - 24th sibgrapi conference on graphics, patterns and images

Proceedings - 24th SIBGRAPI Conference on Graphics, Patterns...

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24th sibgrapi conference on graphics, patterns and images

ISBN: (纸本)9780769545486

the proceedings contain 46 papers. the topics discussed include: beam casting implicit surfaces on the GPU with interval arithmetic;sketch-based adaptive mesh augmentation using stellar operators;accurate volume rendering of unstructured hexahedral meshes;snapping a cursor on volume data;determining an optimal visualization of physically realizable symbol maps;projection-based image retrieval using class-specific metrics;corner detection within a multiscale framework;robust adaptive patch-based object tracking using weighted vector median filters;view clustering of wide-baseline N-views for photo tourism;colorization and illumination of 2D animations based on a region-tree representation;memory-efficient computation of persistent homology for 3D images using discrete Morse theory;and semi-automatic navigation on 3D triangle meshes using BVP based path-planning.

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Proceedings - 2013 26th conference on graphics, patterns and images, sibgrapi 2013

Proceedings - 2013 26th Conference on Graphics, Patterns and...

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2013 26th conference on graphics, patterns and images, sibgrapi 2013

ISBN: (纸本)9780769550992

the proceedings contain 47 papers. the topics discussed include: finger spelling recognition from RGB-D information using kernel descriptor;feature learning by multidimensional scaling and its applications in object recognition;classifier selection based on the correlation of diversity measures: when fewer is more;using unsupervised learning for graph construction in semi-supervised learning with graphs;a multipotential field model for crowds with scalable behaviors;applications of conformal geometric algebra in mesh deformation;multiphase flow of incompressible fluids employing regional level set and volume control;exploiting space and time coherence in grid-based sorting;change detection in human crowds;a tensor motion descriptor based on multiple gradient estimators;and real-time object tracking in high-definition video using frame segmentation and background integral images.

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Proceedings - 2023 36th conference on graphics, patterns and images, sibgrapi 2023

Proceedings - 2023 36th Conference on Graphics, Patterns and...

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36th conference on graphics, patterns and images, sibgrapi 2023

ISBN: (纸本)9798350338720

the proceedings contain 46 papers. the topics discussed include: towards a realistic Libras to Portuguese translation;a zero-shot image enhancement method based on human skin tone reference;multispectral image segmentation with dimensionality reduction using autoencoders;evaluation of optical character recognition (OCR) systems dealing with misinformation in Portuguese;heuristics to reduce linear combinations of activation functions to improve image classification;REIS: a visual analytics tool for rendering and exploring instance segmentation of point clouds;fast traffic sign detection for two-way roads using detachable onboard cameras;graph cuts and deep neural networks for fire detection;and presenter-centric image collection and annotation: enhancing accessibility for the visually impaired.

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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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Embedding Color Watermarks into Halftoning images using Minimum-Distance Binary patterns 28

Embedding Color Watermarks into Halftoning Images using Mini...

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28th sibgrapi conference on graphics, patterns and images sibgrapi

作者： Freitas, Pedro Garcia Farias, Mylene C. Q. de Araujo, Aleteia P. F. Univ Brasilia Dept Comp Sci Brasilia DF Brazil Univ Brasilia Dept Elect Engn Brasilia DF Brazil

ISBN: (纸本)9781467379625

this paper presents a halftoning-based watermarking method. this method enables the embedding of a color image into a binary black-and-white halftone, while maintaining the image quality. the proposed technique is capable of embedding watermarks of three color channels into a binary halftone. To achieve high quality halftones, the method maps colors to halftone channels with homogeneous dot patterns which in turn use different binary texture orientations to carry the watermark. they are obtained by solving a minimization problem in which the objective function is the binary distance between the original binary halftone and the available patterns. To restore the color information, we scan the printed halftone image and compute the inverse information (considering the dot pattern). Using the mapped information, we restore the original color channels from the halftone images using a high-quality inverse halftoning algorithm. Experimental results show that the method produces restorations with a superior quality than other methods found in the literature and increases the embedding capacity.

关键词： Embedding Halftone Color Restoration Watermark Inverse Halftoning

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Finger Spelling Recognition using Kernel Descriptors and Depth images 28

Finger Spelling Recognition using Kernel Descriptors and Dep...

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28th sibgrapi conference on graphics, patterns and images sibgrapi

作者： Otiniano-Rodriguez, K. Cayllahua-Cahuina, E. Araujo de, A. A. Camara-Chavez, G. Univ Fed Minas Gerais Dept Comp Sci Belo Horizonte MG Brazil Univ Fed Ouro Preto Dept Comp Sci Ouro Preto Brazil

ISBN: (纸本)9781467379625

Deaf people use systems of communication based on sign language and finger spelling. Finger spelling is a system where each letter of the alphabet is represented by a unique and discrete movement of the hand. RGB and depth images can be used to characterize hand shapes corresponding to letters of the alphabet. there exists an advantage of depth sensors, as Kinect, over color cameras for finger spelling recognition: depth images provide 3D information of the hand. In this paper, we propose a model for finger spelling recognition based on depth information using kernel descriptors, consisting of four stages. the performance of this approach is evaluated on a dataset of real images of the American Sign Language finger spelling. Different experiments were performed using a combination of both descriptors over depth information. Our approach obtains 92.92% of mean accuracy with 50% of samples for training;outperforming other state-of-the-art methods.

关键词： Finger spelling Depth images Kernel descriptors Bag-of-Words

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Foreword to the special section on Computer graphics in Brazil: A selection of papers from sibgrapi 2012

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COMPUTERS & graphics-UK 2014年第Feb.期38卷 A1-A2页

作者： Dal Sasso Freitas, Carla Scopigno, Roberto Inst Informat UFRGS BR-91501970 Porto Alegre RS Brazil CNR ISTI Pisa Italy

this special section contains three papers, which are extended contributions of original works presented at the 25th sibgrapi -conference on graphics, patterns and images. Started in 1988, sibgrapi has been the main scientific event in Computer graphics, Image Processing and related areas in Brazil. In 2012, celebrating the 25th anniversary of sibgrapi, it was held in the historical city of Ouro Preto, Minas Gerais. Each year, best papers are selected and authors are invited to submit extended versions to high quality journals. After a rigorous peer-reviewing process, the three contributions published in this section were selected among four invited submissions to be published in Computers & graphics.

关键词： COMPUTER graphics historical city Brazil paper graphic images images

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A Highly Accurate Level Set Approach for Segmenting Green Microalgae images 28

A Highly Accurate Level Set Approach for Segmenting Green Mi...

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28th sibgrapi conference on graphics, patterns and images sibgrapi

作者： Borges, Vinicius R. Pereira Hamann, Bernd Silva, thais G. Vieira, Armando A. H. Oliveira, Maria Cristina F. Univ Sao Paulo Inst Ciencias Matemat & Computacao Sao Carlos SP Brazil Univ Calif Davis Dept Comp Sci Davis CA 95616 USA Univ Fed Sao Carlos Dept Bot Sao Carlos SP Brazil

ISBN: (纸本)9781467379625

We present a method for segmenting 2D microscopy images of freshwater green microalgae. Our approach is based on a specialized level set method, leading to efficient and highly accurate algae segmentation. the level set formulation of our problem allows us to generate an algae's boundary curve as the result of an evolving level curve, based on computed background and algae regions in a given image. By characterizing the distributions of image intensity values in local regions, we are able to automatically classify image regions into background and algae regions. We present results obtained with our method. these results are very promising as they document that we can achieve highly accurate algae segmentations when comparing ours against manually segmented images (segmented by an expert biologist) and with results derived by other approaches covered in the literature.

关键词： edge detection Gaussian distribution green microalgae image segmentation level set

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Improving the attractiveness of faces in images 28

Improving the attractiveness of faces in images

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28th sibgrapi conference on graphics, patterns and images sibgrapi

作者： Leite, Tatiane Silvia De Martino, Jose Mario Univ Estadual Campinas Sch Elect & Comp Engn FEEC Campinas SP Brazil

ISBN: (纸本)9781467379625

Advertising images increasingly require attractive faces to attract the public's attention. Several studies have been conducted to enhance facial attractiveness in images. While some researchers suggest changes in geometrical shape, others advocate modifying the appearance of the facial skin;however, there have been few attempts to explore the possibility of combining both techniques. this paper sets out a novel method of doing this: facial geometry and skin texture modifications. Our method, which is based on supervised machine learning techniques, is able to improve the attractiveness of faces in images while preserving the original features of the picture. We also demonstrate the effectiveness of this combination by carrying out two different evaluations. Accordingly, we analyze the significance of each change that is designed to improve attractiveness by comparing the original image with a) the image in which only the facial geometry has been modified, b) the image in which only the texture skin has been modified and finally c) the image with both modifications. Our results reveal that the combination of geometric and skin texture modifications results in the most significant enhancement. It also demonstrates that modifications to the skin texture can be regarded as more important to obtain an attractive face than changes to the facial geometry. Additionally, evaluations are provided to quantify the gain in facial attractiveness and it should be pointed out that our method is the first to employ these, since there are no references to such tests in the literature.

关键词： facial attractiveness facial geometry skin texture machine learning

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