2014 27th SIBGRAPI Conference on Graphics, Patterns and Images最新文献_第2页

Forensic Facial Reconstruction Using Mesh Template Deformation with Detail Transfer over HRBF 基于HRBF的网格模板变形与细节转移的法医面部重建

2014 27th SIBGRAPI Conference on Graphics, Patterns and Images Pub Date : 2014-08-26 DOI: 10.1109/SIBGRAPI.2014.25

R. Romeiro, R. Marroquim, Claudio Esperança, Andreia Breda, Carlos Marcelo Figueredo

引用次数: 6

A Nested Hierarchy of Localized Scatterplots 局部散点图的嵌套层次结构

2014 27th SIBGRAPI Conference on Graphics, Patterns and Images Pub Date : 2014-08-26 DOI: 10.1109/SIBGRAPI.2014.14

M. Eisemann, Georgia Albuquerque, M. Magnor

{"title":"A Nested Hierarchy of Localized Scatterplots","authors":"M. Eisemann, Georgia Albuquerque, M. Magnor","doi":"10.1109/SIBGRAPI.2014.14","DOIUrl":"https://doi.org/10.1109/SIBGRAPI.2014.14","url":null,"abstract":"The simplicity and visual clarity of scatterplots makes them one of the most widely-used visualization techniques for multivariate data. In complex data sets the important information can be hidden in subsets of the data, often obscured in the typical projections of the whole dataset. This paper presents a new interactive method to explore spatially distinct subsets of a dataset within a given projection. Precisely, we introduce a hierarchy of localized scatterplots as a novel visualization technique that allows to create scatterplots within scatterplots. The resulting visualization bears additional information that would otherwise be hidden within the data. To aid the useful interactive creation of such a hierarchy of localized scatterplots by a user we display transitions between scatterplots as animated rotations in 3D. We show the applicability of our visualization and exploration technique or different tasks, including cluster detection, classification, and comparative analyses. Additionally, we introduce a new exploration tool which we call the cross-dimensional semantic lens. Our hierarchy of localized scatterplots preserves the visual clarity and simplicity of scatterplots while providing additional and easily interpretable information about local subsets of the data.","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":"122727513","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: 7

Semi-supervised Pattern Classification Using Optimum-Path Forest 基于最优路径森林的半监督模式分类

2014 27th SIBGRAPI Conference on Graphics, Patterns and Images Pub Date : 2014-08-26 DOI: 10.1109/SIBGRAPI.2014.45

W. P. Amorim, A. Falcão, M. H. Carvalho

引用次数: 22

Improved Residual DPCM for HEVC Lossless Coding HEVC无损编码的改进残差DPCM

2014 27th SIBGRAPI Conference on Graphics, Patterns and Images Pub Date : 2014-08-26 DOI: 10.1109/SIBGRAPI.2014.31

Gwanggil Jeon, Kibaek Kim, Jechang Jeong

引用次数: 9

Conveyor Belt X-ray CT Using Domain Constrained Discrete Tomography 基于域约束离散层析成像的传送带x射线CT

2014 27th SIBGRAPI Conference on Graphics, Patterns and Images Pub Date : 2014-08-26 DOI: 10.1109/SIBGRAPI.2014.21

L. A. Pereira, Andrei Dabravolski, Ing Ren Tsang, George D. C. Cavalcanti, Jan Sijbers

引用次数: 3

Superpixel-Based Interactive Classification of Very High Resolution Images 基于超像素的超高分辨率图像交互分类

2014 27th SIBGRAPI Conference on Graphics, Patterns and Images Pub Date : 2014-08-26 DOI: 10.1109/SIBGRAPI.2014.49

J. E. Vargas, P. T. Saito, A. Falcão, P. J. Rezende, J. A. D. Santos

{"title":"Superpixel-Based Interactive Classification of Very High Resolution Images","authors":"J. E. Vargas, P. T. Saito, A. Falcão, P. J. Rezende, J. A. D. Santos","doi":"10.1109/SIBGRAPI.2014.49","DOIUrl":"https://doi.org/10.1109/SIBGRAPI.2014.49","url":null,"abstract":"Very high resolution (VHR) images are large datasets for pixel annotation -- a process that has depended on the supervised training of an effective pixel classifier. Active learning techniques have mitigated this problem, but pixel descriptors are limited to local image information and the large number of pixels makes the response time to the user's actions impractical, during active learning. To circumvent the problem, we present an active learning strategy that relies on superpixel descriptors and a priori dataset reduction. Firstly, we compare VHR image annotation using superpixel- and pixel-based classifiers, as designed by the same state-of-the-art active learning technique -- Multi-Class Level Uncertainty (MCLU). Even with the dataset reduction provided by the superpixel representation, MCLU remains unfeasible for user interaction. Therefore, we propose a technique to considerably reduce the superpixel dataset for active learning. Moreover, we subdivide the reduced dataset into a list of subsets with random sample rearrangement to gain both speed and sample diversity during the active learning process.","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":"125593177","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: 15

Parallel Shortest Path Algorithm for Voronoi Diagrams with Generalized Distance Functions 广义距离函数Voronoi图的并行最短路径算法

2014 27th SIBGRAPI Conference on Graphics, Patterns and Images Pub Date : 2014-08-26 DOI: 10.1109/SIBGRAPI.2014.1

J. Toss, J. Comba, B. Raffin

引用次数: 5

Unsupervised Hyperspectral Band Selection Based on Spectral Rhythm Analysis 基于光谱节奏分析的无监督高光谱波段选择

2014 27th SIBGRAPI Conference on Graphics, Patterns and Images Pub Date : 2014-08-26 DOI: 10.1109/SIBGRAPI.2014.51

Lilian Chaves Brandao dos Santos, S. Guimarães, A. Araújo, J. A. D. Santos

{"title":"Unsupervised Hyperspectral Band Selection Based on Spectral Rhythm Analysis","authors":"Lilian Chaves Brandao dos Santos, S. Guimarães, A. Araújo, J. A. D. Santos","doi":"10.1109/SIBGRAPI.2014.51","DOIUrl":"https://doi.org/10.1109/SIBGRAPI.2014.51","url":null,"abstract":"Remote sensing image classification aims to automatically categorize a monitored area in land cover classes. Hyperspectral images, which provide plenty of spectral information per pixel, allow achieving good accuracy results in classification problems. However, the vast amount of information also can compromise the efficiency due to noisy bands, redundancy, and high-dimensionality. Some dimensionality reduction techniques have been proposed in order to better use the available information. One approach is to perform a band selection, which aims to select the best bands for the classification in order to decrease the dimensionality without degradation of information, i.e., keeping the physical properties acquired by the sensors. This paper introduces a new unsupervised band selection method based on dissimilarity between bands, which are represented by a spectral rhythm, using a bipartite graph matching approach. We carried out experiments in three well known real hyperspectral images datasets. The accuracy results with few bands can achieve levels comparable with the classification made with all data. Our approach can also yield better results in some cases, which is only observed with using supervised approaches in the literature.","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":"128932753","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: 6

Evolutionary Optimization Applied for Fine-Tuning Parameter Estimation in Optical Flow-Based Environments 基于光流的环境中微调参数估计的进化优化方法

2014 27th SIBGRAPI Conference on Graphics, Patterns and Images Pub Date : 2014-08-26 DOI: 10.1109/SIBGRAPI.2014.22

D. R. Pereira, J. Delpiano, J. Papa

引用次数: 3

Automatic Detection of Fovea in Retinal Images Using Fusion of Color Bands 基于色带融合的视网膜图像中央凹自动检测

2014 27th SIBGRAPI Conference on Graphics, Patterns and Images Pub Date : 2014-08-26 DOI: 10.1109/SIBGRAPI.2014.17

R. Veras, F. Medeiros, Romuere R. V. Silva, K. Aires

引用次数: 5