2014 27th SIBGRAPI Conference on Graphics, Patterns and Images最新文献

Graph Based Characterization of Microcirculation in Sepsis Using Sidestream Dark Field Imaging 利用侧流暗场成像对脓毒症微循环进行图形化表征

2014 27th SIBGRAPI Conference on Graphics, Patterns and Images Pub Date : 2014-08-26 DOI: 10.1109/SIBGRAPI.2014.27

Jihan M. Zoghbi, Leandro T. De La Cruz, Miguel A. Galarreta-Valverde, M. Jackowski, J. Vieira, A. Liberatore, I. Koh

引用次数: 2

Statistical Learning Approach for Robust Melanoma Screening 稳健黑色素瘤筛查的统计学习方法

2014 27th SIBGRAPI Conference on Graphics, Patterns and Images Pub Date : 2014-08-26 DOI: 10.1109/SIBGRAPI.2014.48

Michel Fornaciali, S. Avila, Micael Carvalho, Eduardo Valle

引用次数: 14

Cloth Simulation with Triangular Mesh Adaptivity 基于三角网格自适应的布料仿真

2014 27th SIBGRAPI Conference on Graphics, Patterns and Images Pub Date : 2014-08-26 DOI: 10.1109/SIBGRAPI.2014.20

Suzana Matos França de Oliveira, C. Vidal, J. B. C. Neto, Laise Lima De Carvalho, J. G. R. Maia

{"title":"Cloth Simulation with Triangular Mesh Adaptivity","authors":"Suzana Matos França de Oliveira, C. Vidal, J. B. C. Neto, Laise Lima De Carvalho, J. G. R. Maia","doi":"10.1109/SIBGRAPI.2014.20","DOIUrl":"https://doi.org/10.1109/SIBGRAPI.2014.20","url":null,"abstract":"In the last decades, cloth animation has been the focus of much research, because of demands from the entertainment industry and from e-commerce. That type of animation is usually produced by means of physics simulations that are computationally expensive. Cloth folding during oscillations or due to contact with rigid objects often requires a very dense mesh when high curvatures are present. In those situations, the dynamics simulation will involve huge matrices and vectors. So, in the attempt to reduce costs, adaptive remeshing is frequently proposed. In this work, we investigate a remeshing approach during dynamics simulation of cloth. Mesh refinement is applied only to regions that need a fine level of detail. Our remeshing strategy refines the mesh in regions of high curvature and simplifies the mesh in regions of low curvature. No matter how regular and coarse the initial mesh is, our remeshing strategy produces meshes that are well adapted to the irregularities of the solid objects at every time step of the draping simulation. The fabric model consists of a triangular mesh and uses a spring-mass-damper system to compute the forces between particles, which are located at the mesh's vertices. Collision detection depends on the arrangement of the cloth model and the objects in the scene. Although the tests show that, for comparable mesh sizes, the adaptive method does not always outperforms non-adaptive methods, the quality of the draping is much better when adaptive methods are used. Thus, adaptive methods can deliver comparable draping quality with fewer elements and less cost.","PeriodicalId":146229,"journal":{"name":"2014 27th SIBGRAPI Conference on Graphics, Patterns and Images","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133075365","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

Vehicle License Plate Recognition With Random Convolutional Networks 基于随机卷积网络的车牌识别

2014 27th SIBGRAPI Conference on Graphics, Patterns and Images Pub Date : 2014-08-26 DOI: 10.1109/SIBGRAPI.2014.52

D. Menotti, G. Chiachia, A. Falcão, Vantuil J. Oliveira Neto

引用次数: 31

Learning to Annotate Clothes in Everyday Photos: Multi-modal, Multi-label, Multi-instance Approach 学习在日常照片中标注衣服:多模式，多标签，多实例方法

2014 27th SIBGRAPI Conference on Graphics, Patterns and Images Pub Date : 2014-08-26 DOI: 10.1109/SIBGRAPI.2014.37

Adriano Veloso, J. A. D. Santos, Keiller Nogueira

{"title":"Learning to Annotate Clothes in Everyday Photos: Multi-modal, Multi-label, Multi-instance Approach","authors":"Adriano Veloso, J. A. D. Santos, Keiller Nogueira","doi":"10.1109/SIBGRAPI.2014.37","DOIUrl":"https://doi.org/10.1109/SIBGRAPI.2014.37","url":null,"abstract":"In this paper, we present an effective algorithm to automatically annotate clothes in everyday photos posted in online social networks, such as Facebook and Instagram. Specifically, clothing annotation can be informally stated as predicting, as accurately as possible, the garment items appearing in the target photo. This task not only poses interesting challenges for existing vision and recognition algorithms, but also brings huge opportunities for recommender and e-commerce systems. We formulate the annotation task as a multi-modal, multi-label and multi-instance classification problem: (i) both image and textual content (i.e., comments about the image) are available for learning classifiers, (ii) the classifiers must predict a set of labels (i.e., a set of garment items), and (iii) the decision on which labels to predict comes from a bag of instances that are used to build a function, which separates labels that should be predicted from those that should not be. Under this setting, we propose a classification algorithm which employs association rules in order to build a prediction model that combines image and textual information, and adopts an entropy-minimization strategy in order to the find the best set of labels to predict. We conducted a systematic evaluation of the proposed algorithm using everyday photos collected from two major fashion-related social networks, namely pose.com and chictopia.com. Our results show that the proposed algorithm provides improvements when compared to popular first choice multi-label algorithms that range from 2% to 40% in terms of accuracy.","PeriodicalId":146229,"journal":{"name":"2014 27th SIBGRAPI Conference on Graphics, Patterns and Images","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116831444","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: 4

Improving Divide-and-Conquer Ray-Tracing Using a Parallel Approach 使用并行方法改进分治光线跟踪

2014 27th SIBGRAPI Conference on Graphics, Patterns and Images Pub Date : 2014-08-26 DOI: 10.1109/SIBGRAPI.2014.32

Cícero A. L. Pahins, C. Pozzer

引用次数: 2

SPH Fluids for Viscous Jet Buckling 用于粘性射流屈曲的SPH流体

2014 27th SIBGRAPI Conference on Graphics, Patterns and Images Pub Date : 2014-08-26 DOI: 10.1109/SIBGRAPI.2014.47

Luiz Fernando de Souza Andrade, Marcos Sandim, Fabiano Petronetto, P. Pagliosa, Afonso Paiva

引用次数: 14

Visualization of Music Collections Based on Structural Content Similarity 基于结构内容相似度的音乐收藏可视化

2014 27th SIBGRAPI Conference on Graphics, Patterns and Images Pub Date : 2014-08-26 DOI: 10.1109/SIBGRAPI.2014.53

Aurea Soriano-Vargas, F. Paulovich, L. G. Nonato, Maria Cristina Ferreira de Oliveira

{"title":"Visualization of Music Collections Based on Structural Content Similarity","authors":"Aurea Soriano-Vargas, F. Paulovich, L. G. Nonato, Maria Cristina Ferreira de Oliveira","doi":"10.1109/SIBGRAPI.2014.53","DOIUrl":"https://doi.org/10.1109/SIBGRAPI.2014.53","url":null,"abstract":"Users interact a lot with their personal music collections, typically using standard text-based interfaces that offer constrained functionalities based on assigned metadata or tags. Alternative visual interfaces have been developed, both to display graphical views of music collections that attempt to reflect some chosen property or organization, or to display abstract visual representations of specific songs. Yet, there are many dimensions involved in the perception and handling of music and mapping musical information into computer tractable models is a challenging problem. With a wide variety of possible approaches, the search for novel strategies to visually represent songs and/or collections persists, targeted either at the general public or at musically trained individuals. In this paper we describe a visual interface to browse music collections that relies on a graphical metaphor designed to convey the underlying musical structure of a song. An iconic representation of individual songs is coupled with a spatial placement of songs that reflects their structural similarity. The song icon is derived from features extracted from MIDI files, rather than from audio signals. The very nature of MIDI descriptions enables the identification of simple, yet meaningful, musical structures, allowing us to extract features that support both creating the icon and comparing songs. A similarity-based spatial placement is created projecting the feature vectors with the Least Square Projection multidimensional projection, employing the Dynamic Time Warping distance function to evaluate feature similarity. We describe the process of generating such visual representations and illustrate potentially interesting usage scenarios.","PeriodicalId":146229,"journal":{"name":"2014 27th SIBGRAPI Conference on Graphics, Patterns and Images","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131717238","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: 12

Brain Mapping and Interpretation of Reading Processing in Children Using EEG and Multivariate Statistical Analysis 基于脑电图和多元统计分析的儿童阅读加工脑映射与解释

2014 27th SIBGRAPI Conference on Graphics, Patterns and Images Pub Date : 2014-08-26 DOI: 10.1109/SIBGRAPI.2014.19

F. Rocha, C. Thomaz, A. Rocha, E. Massad

引用次数: 5

Learning Kernels for Support Vector Machines with Polynomial Powers of Sigmoid Sigmoid多项式幂支持向量机的核学习

2014 27th SIBGRAPI Conference on Graphics, Patterns and Images Pub Date : 2014-08-26 DOI: 10.1109/SIBGRAPI.2014.36

S. Fernandes, A. Pilastri, Luís A. M. Pereira, R. G. Pires, J. Papa

引用次数: 4