Anais Estendidos da Conference on Graphics, Patterns and Images (SIBRAPI Estendido 2020)最新文献

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Visualization of Multivariate Data on Surfaces 曲面上多变量数据的可视化

Anais Estendidos da Conference on Graphics, Patterns and Images (SIBRAPI Estendido 2020) Pub Date : 2020-11-07 DOI: 10.5753/SIBGRAPI.EST.2020.12995

Allan Rocha

{"title":"Visualization of Multivariate Data on Surfaces","authors":"Allan Rocha","doi":"10.5753/SIBGRAPI.EST.2020.12995","DOIUrl":"https://doi.org/10.5753/SIBGRAPI.EST.2020.12995","url":null,"abstract":"This research builds upon ideas introduced and discussed many years ago that focus on the problem of visualizing multiple attributes on surfaces in a single view. Here we present a new perspective to this problem as well as a solution that allows us to design, visualize and interact with multivariate data on surfaces. Building upon multidisciplinary aspects, we present a new way to visualize multivariate data on surfaces by exploiting the concept of layering. First, we introduce a new real-time rendering technique and the concept of Decal-Maps, which fills a gap in the literature and allow us to create 2D visual representations such as glyphs that follow the surface geometry. Building on this technique, we propose the layering framework to facilitate the multivariate visualization design on surfaces. The use of this concept and framework allows us to connect and generalize concepts established in flat space, such as 2D maps, to arbitrary surfaces. Decal-maps opens up other new possibilities such as the use of interaction techniques. Here we demonstrate this potential by introducing a new interaction technique that allows us to explore multivariate data and to create customized focus+context visualizations on surfaces. This is achieved by introducing a new category of lenses, Decal-Lenses, which extends the concept of magic-lenses from flat space to general surfaces. Finally, this thesis showcases the process of multivariate visual design and data exploration through a series of examples from several domains such as Medicine and Geology.","PeriodicalId":307185,"journal":{"name":"Anais Estendidos da Conference on Graphics, Patterns and Images (SIBRAPI Estendido 2020)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116015342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Superpixel Generation by the Iterative Spanning Forest Using Object Information 基于目标信息的迭代生成森林生成超像素

Anais Estendidos da Conference on Graphics, Patterns and Images (SIBRAPI Estendido 2020) Pub Date : 2020-11-07 DOI: 10.5753/SIBGRAPI.EST.2020.12979

F. Belém, A. Falcão, S. Guimarães

{"title":"Superpixel Generation by the Iterative Spanning Forest Using Object Information","authors":"F. Belém, A. Falcão, S. Guimarães","doi":"10.5753/SIBGRAPI.EST.2020.12979","DOIUrl":"https://doi.org/10.5753/SIBGRAPI.EST.2020.12979","url":null,"abstract":"Superpixel segmentation methods aim to partition the image into homogeneous connected regions of pixels (i.e., superpixels) such that the union of its comprising superpixels precisely defines the objects of interest. However, the homogeneity criterion is often based solely on color, which, in certain conditions, might be insufficient for inferring the extension of the objects (e.g., low gradient regions). In this dissertation, we address such issue by incorporating prior object information — represented as monochromatic object saliency maps — into a state-of-the-art method, the Iterative Spanning Forest (ISF) framework, resulting in a novel framework named Object-based ISF (OISF). For a given saliency map, OISF-based methods are capable of increasing the superpixel resolution within the objects of interest, whilst permitting a higher adherence to the map’s borders, when color is insufficient for delineation. We compared our work with state-of-the-art methods, considering two classic superpixel segmentation metrics, in three datasets. Experimental results show that our approach presents effective object delineation with a significantly lower number of superpixels than the baselines, especially in terms of preventing superpixel leaking.","PeriodicalId":307185,"journal":{"name":"Anais Estendidos da Conference on Graphics, Patterns and Images (SIBRAPI Estendido 2020)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126493448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Mapping the Unseen: Exploiting Super-Resolution for Semantic Segmentation in Low-Resolution Images 映射看不见的:利用超分辨率在低分辨率图像的语义分割

Anais Estendidos da Conference on Graphics, Patterns and Images (SIBRAPI Estendido 2020) Pub Date : 2020-11-07 DOI: 10.5753/SIBGRAPI.EST.2020.12987

M. B. Pereira, J. D. Santos

引用次数: 0