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30th SIBGRAPI Conference on graphics, Patterns and images Tutorials (SIBGRAPI-T)

作者： Borsato, Frank H. Morimoto, Carlos H. Univ Tecnol Fed Parana Curitiba Parana Brazil Univ Sao Paulo Sao Paulo Brazil

ISBN: (纸本)9781538622193

Structured lighting is a computer vision technique that projects illumination patterns onto the scene to facilitate feature extraction from the captured images. the use of low-cost cameras is avoided not only due to their low image quality but mostly due to the lack of a synchronization mechanism for the illuminators. In this paper we propose a method to synchronize low-cost cameras and illuminators based on the dynamic estimation of the camera sensor exposure and number of lines. At the same time, the use of structured stroboscopic lighting is used to enhance the image quality. Starting with a coarse estimation of the sensor parameters, we developed computer vision algorithms that detect image artifacts created by the structured lighting when the illuminators are not correctly synchronized with the camera frames. the detected artifacts are used to refine the estimation of the sensor parameters and to adjust the firing of the illuminators until a clear picture is obtained. Our technique requires a simple external circuit to control the firing of the illuminators, that is adjusted by software, and allows virtually any modern digital camera to be used in structured lighting applications. We demonstrate the use of this technique in a fast 187 fps robust pupil detector that can be used for gaze interaction applications.

关键词： Cameras Lighting Synchronization Light sources Software image processing

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AFRIGRAPH: computer graphics in Africa

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computer graphics FORUM 2006年第4期25卷 697-698页

作者： Gain, J. E. Strasser, W. Univ Cape Town Collaborat Visual Comp Lab ZA-7925 Cape Town South Africa Univ Tubingen Wilhelm Schickard Inst Informat Graph Interakt Sy D-7400 Tubingen Germany

the article provides information on the Afrigraph organization in Africa. the purpose of Afrigraph is to help consolidate and promote the practice of relevant computer graphics in academia, arts and industry in Africa. Afrigraph has run a series of four international conferences in order to foster the computer graphics community in Africa and international cooperation. the organization held a graphics programming contst open to school pupils in Southern Africa as a new venture in 2006.

关键词： Associations, institutions, etc. International cooperation computer graphics Engineering graphics

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BoCS: image retrieval using explicable methods 36

BoCS: Image retrieval using explicable methods

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36th SIBGRAPI Conference on graphics, Patterns and images (SIBGRAPI)

作者： Silva, Endi D. C. Traina, Agma J. M. Univ Sao Paulo Sao Carlos SP Brazil

ISBN: (纸本)9798350338737;9798350338720

In recent years, image generation has been growing at a very fast pace, demanding specific systems for managing large image datasets. For example, we can mention the content-based image retrieval (CBIR) systems. Usually, they use a representation of feature vectors based on the images' visual content to store/retrieve them and to perform demanded queries. Currently, neural networks perform the task of generating image representations with great mastery. However, these networks usually create methods that are difficult to understand or to explain, which for some applications, such as medical decision-making systems, can be a significant disadvantage. thinking about the explainability aspect, in this work, we present a new technique based on the bag of visual words (BoVW) which, in addition to generating promising explainable methods, has long been the state of the art for generating image representations. the results showed that the presented method BoCS overcomes similar methods and still has the potential to be further explored.

关键词： image representation

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Oriented image Foresting Transform Segmentation: Connectivity Constraints with Adjustable Width 29

Oriented Image Foresting Transform Segmentation: Connectivit...

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29th SIBGRAPI Conference on graphics, Patterns and images (SIBGRAPI)

作者： Mansilla, Lucy A. C. Miranda, Paulo A. V. Univ Sao Paulo Dept Comp Sci BR-05508090 Sao Paulo SP Brazil

ISBN: (纸本)9781509035687

In this work, we extend a novel seed-based segmentation algorithm, which provides global optimum solutions according to a graph-cut measure, subject to high-level boundary constraints: the simultaneously handling of boundary polarity and connectivity constraints. the proposed method incorporates the connectivity constraint in the Oriented image Foresting Transform (OIFT), ensuring the generation of connected objects, but such that the connection between its internal seeds is guaranteed to have a user-controllable minimum width. In other frameworks, such as the min-cut/max-flow algorithm, the connectivity constraint is known to lead to NP-hard problems. In contrast, our method conserves the low complexity of the OIFT algorithm. In the experiments, we show improved results for the segmentation of thin and elongated objects, for the same amount of user interaction. Our dataset of natural images with true segmentation is publicly available to the community.

关键词： image segmentation connectivity constraints boundary polarity image foresting transform

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Interactive Medical image Segmentation by Statistical Seed Models 29

Interactive Medical Image Segmentation by Statistical Seed M...

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29th SIBGRAPI Conference on graphics, Patterns and images (SIBGRAPI)

作者： Spina, thiago Vallin Martins, Samuel Botter Falcao, Alexandre Xavier Univ Estadual Campinas Inst Comp Campinas SP Brazil

ISBN: (纸本)9781509035687

Interactive 3D object segmentation is an important and challenging activity in medical imaging, although it is tedious and error-prone to be done. Automatic segmentation methods aim to replace the user altogether, but require user interaction to produce training data sets of segmented masks and to make error corrections. We propose a complete framework for interactive medical image segmentation, which reduces user effort by automatically providing an initial segmentation result. We develop a Statistical Seed Model (SSM) to this end, that improves from seed sets selected by robot users when reconstructing masks of previously segmented images. the SSM outputs a seed set that may be used to automatically delineate a new test image. the seeds provide both an implicit object shape constraint and a flexible way of interactively correcting segmentation. We demonstrate that our framework decreases the amount of user interaction by a factor of three, when segmenting MR-images of the cerebellum.

关键词： Interactive Medical image Segmentation Object Models Robot Users Segmentation Resuming

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Towards local control for image-based texture synthesis

Towards local control for image-based texture synthesis

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15th brazilian symposium on computer graphics and image processing

作者： Tonietto, L Walter, M Univ Vale Rio dos Sinos Ctr Ciencias Exatas & Tecnol PIPCA Mestrado Comp Aplicada Sao Leopoldo Brazil

ISBN: (纸本)076951846X

New advances in image based texture synthesis techniques allow the generation of arbitrarily sized textures based on a small sample. the generated textures are perceived as very similar to the given sample. One main drawback of these techniques, however, is that the synthesized result cannot be locally controlled, that is, we are able to synthesize a larger version of the sample but without much variation. We present in this paper a technique which improves on current fast texture synthesis techniques by allowing local control over the result. By local control we mean a final texture that is still perceived as a whole but presents variations in size of the basic elements. Our solution generates the final texture from a small collection of the same sample at different resolutions, adequately interpolated. We illustrate our results with some examples, including natural textures such as animal coat patterns, which exhibit local variations that can be adequately captured by our algorithm.

关键词： image texture

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A Zero-Shot image Enhancement Method Based on Human Skin Tone Reference 36

A Zero-Shot Image Enhancement Method Based on Human Skin Ton...

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36th SIBGRAPI Conference on graphics, Patterns and images (SIBGRAPI)

作者： Oliveira, Diulhio Lopes, Alexandre Luquezi, Vitor Galassi Nogueira, Carlos Eduardo Schiezaro, Mauricio Liu, Dennis Pedrini, Helio Venturus Innovat & Technol BR-13086530 Campinas SP Brazil Univ Estadual Campinas Inst Comp BR-13083852 Campinas SP Brazil Compal Elect Inc Taipei 11492 Taiwan

ISBN: (纸本)9798350338737;9798350338720

In this work, we introduce a zero-shot method for color enhancement in images containing people. this method is based on photo edition techniques used by professional editors, where these professionals adjust the RGB curves, which affects the image colors globally. the hypothesis adopted in this investigation is that, when there are people present in an image, they become the most important element of the scene, so one of the main aspects of color adjustment is to make their skin tones look more realistic and natural, which should please most of the viewers. the proposed method employs a pipeline of classical algorithms of computer vision to mimic the process applied by professional photo editors. Experiments performed on the Adobe-MIT 5k dataset, a widely used dataset on image enhancement, show that our approach has similar performance compared to supervised data-driven state-of-art methods.

关键词： image enhancement skin tone deep learning zero-shot method

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Single image Super-Resolution Using Multiple Extreme Learning Machine Regressors 30

Single Image Super-Resolution Using Multiple Extreme Learnin...

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30th SIBGRAPI Conference on graphics, Patterns and images Tutorials (SIBGRAPI-T)

作者： Cosmo, Daniel Luis Inaba, Fernando Kentaro Teatini Salles, Evandro Ottoni Univ Fed Espirito Santo Lab Computacao & Sistemas Neurais Vitoria ES Brazil

ISBN: (纸本)9781538622193

this paper presents a new technique to solve the single image super resolution reconstruction problem based on multiple extreme learning machine regressors, called here MELM. the MELM employs a feature space of low resolution images, divided in subspaces, and one regressor is trained for each one. In the training task, we employ a color dataset containing 91 images, with approximately 5.3 million pixels, and PSNR and SSIM as metric evaluation. For the experiments we use two datasets, Set 5 and Set 14, to evaluate the results. We observe MELM improves reconstruction quality in about 0.44 dB PSNR in average for Set 5, when compared with a global ELM regressor (GELM), trained for the entire feature space. the proposed method almost reaches deep learning reconstruction quality, without depending on large datasets and long training times, giving a competitive trade off between performance and computational costs.

关键词： Training image reconstruction image resolution Feature extraction image color analysis Interpolation Reconstruction algorithms

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Toolbox of image processing for numerical Python 14

Toolbox of image processing for numerical Python

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

作者： Silva, Alexandre Gonçalves De Alencar Lotufo, Roberto Machado, Rubens Campos FEEC-Faculdade de Engenharia Elétrica e de Computação Caixa Postal 6101 Campinas SP13083-970 Brazil ITI-Instituto Nacional de Tecnologia da Informação Caixa Postal 6162 Campinas SP13089-500 Brazil

ISBN: (纸本)0769513301

this work consists of the study, development and implementation of a toolbox of image processing for Python language [1]. this environment will be useful in education, research and development of final applications. the toolbox will be done using the easinesses of the Adesso project [2] for development of software of scientific computation. © 2001 IEEE.

关键词： image processing

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Measuring the influence of painters through artwork facial features 35

Measuring the influence of painters through artwork facial f...

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

作者： Dalmoro, Bruna Monteiro, Charles Musse, Soraia Raupp Pontif Catholic Univ Rio Grande Do Sul Grad Program Comp Sci Porto Alegre Brazil Pontif Catholic Univ Rio Grande Do Sul Grad Program Hist Porto Alegre Brazil

ISBN: (数字)9781665453851

ISBN: (纸本)9781665453851

Computational aesthetics is a subfield of computer vision that seeks to understand the human aesthetic perception of images and image sequences. the main objective is to create systems that allow different aesthetic decisions, trying to approximate the judgment of a human being about the images. In this work, we explore the problem of identifying influence among artists based on visual features detected in their artworks. In particular, we are interested in investigating the similarity of faces in paintings to design the artists' influence. In our methodology, we propose four groups of features to characterize the faces, and we show that the similarity of faces to finding artists' influence, shows promising results when compared to the recently proposed methods.

关键词： Visualization computer vision Feature extraction image sequences Faces Facial features Painting

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