Smart Tools and Applications in Graphics最新文献

A Geometric Approach for Computing the Kernel of a Polyhedron 计算多面体核的几何方法

Smart Tools and Applications in Graphics Pub Date : 2021-10-21 DOI: 10.2312/STAG.20211470

T. Sorgente, S. Biasotti, M. Spagnuolo

引用次数: 3

Visual Analysis of Popping in Progressive Visualization 渐进式可视化中弹出的可视化分析

Smart Tools and Applications in Graphics Pub Date : 2021-10-01 DOI: 10.2312/STAG.20211485

E. Waterink, J. Kosinka, S. Frey

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引用次数: 1

Mesh Colours for Gradient Meshes 渐变网格的网格颜色

Smart Tools and Applications in Graphics Pub Date : 2021-10-01 DOI: 10.2312/STAG.20211478

S. D. Baksteen, G. Hettinga, J. Echevarria, J. Kosinka

引用次数: 3

A Graphical Framework to Study the Correlation between Geometric Design and Simulation 研究几何设计与仿真关系的图形框架

Smart Tools and Applications in Graphics Pub Date : 2021-02-23 DOI: 10.2312/stag.20221251

D. Cabiddu, G. Patané, M. Spagnuolo

引用次数: 1

An Information-theoretic Visual Analysis Framework for Convolutional Neural Networks 卷积神经网络的信息论可视化分析框架

Smart Tools and Applications in Graphics Pub Date : 2020-05-02 DOI: 10.2312/stag.20211486

Jingyi Shen, Han-Wei Shen

{"title":"An Information-theoretic Visual Analysis Framework for Convolutional Neural Networks","authors":"Jingyi Shen, Han-Wei Shen","doi":"10.2312/stag.20211486","DOIUrl":"https://doi.org/10.2312/stag.20211486","url":null,"abstract":"Despite the great success of Convolutional Neural Networks (CNNs) in Computer Vision and Natural Language Processing, the working mechanism behind CNNs is still under extensive discussions and research. Driven by a strong demand for the theoretical explanation of neural networks, some researchers utilize information theory to provide insight into the black box model. However, to the best of our knowledge, employing information theory to quantitatively analyze and qualitatively visualize neural networks has not been extensively studied in the visualization community. In this paper, we combine information entropies and visualization techniques to shed light on how CNN works. Specifically, we first introduce a data model to organize the data that can be extracted from CNN models. Then we propose two ways to calculate entropy under different circumstances. To provide a fundamental understanding of the basic building blocks of CNNs (e.g., convolutional layers, pooling layers, normalization layers) from an information-theoretic perspective, we develop a visual analysis system, CNNSlicer. CNNSlicer allows users to interactively explore the amount of information changes inside the model. With case studies on the widely used benchmark datasets (MNIST and CIFAR-10), we demonstrate the effectiveness of our system in opening the blackbox of CNNs.","PeriodicalId":172563,"journal":{"name":"Smart Tools and Applications in Graphics","volume":"164 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126220656","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: 1

A 3 Cent Recognizer: Simple and Effective Retrieval and Classification of Mid-air Gestures from Single 3D Traces 一个3分识别器:从单个3D轨迹中简单有效地检索和分类空中手势

Smart Tools and Applications in Graphics Pub Date : 2017-09-11 DOI: 10.2312/stag.20171221

F. M. Caputo, P. Prebianca, A. Carcangiu, L. D. Spano, Andrea Giachetti

引用次数: 17

Retinal Image Analysis with Shearlets 基于Shearlets的视网膜图像分析

Smart Tools and Applications in Graphics Pub Date : 2016-10-03 DOI: 10.2312/stag.20161375

Francesco Levet, Miguel A. Duval, E. Vito, F. Odone

引用次数: 3

Kernel-Reflection Sequences Kernel-Reflection序列

Smart Tools and Applications in Graphics Pub Date : 2016-10-03 DOI: 10.2312/stag.20161364

L. Szécsi, Zoltán Bendefy, Ágota Kacsó

{"title":"Kernel-Reflection Sequences","authors":"L. Szécsi, Zoltán Bendefy, Ágota Kacsó","doi":"10.2312/stag.20161364","DOIUrl":"https://doi.org/10.2312/stag.20161364","url":null,"abstract":"Complex geometries, like those of plants, rocks, terrain, or even clouds are challenging to model in a way that allows for real-time rendering but does not make concessions in terms of visible detail. In this paper we propose a procedural modeling approach, called KRS, or kernel-reflection sequences, inspired by iterated function systems. The model is composed of kernel geometries defined by signed distance functions, and reflection transformations that multiply them. We show that a global distance function can be evaluated over this structure without recursion, allowing for the implementation of real-time sphere tracing on parallel hardware. We also show how the algorithm readily delivers continuous level-of-detail and minification filtering. We propose several techniques to enhance modeling freedom and avoid conspicuous symmetries. Most importantly, we extend sphere tracing to conformally transformed geometries. We also propose a GPU load balancing scheme for best utilization of computing power. To prove that the model can be used to realize various natural phenomena in uncompromising detail and extents, without obvious clues of symmetry, we render aquatic and terrestrial surface formations and vegetation in real-time.","PeriodicalId":172563,"journal":{"name":"Smart Tools and Applications in Graphics","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134422863","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

Manipulating Topological Decompositions of Non-Manifold Shapes 操纵非流形形状的拓扑分解

Smart Tools and Applications in Graphics Pub Date : 2016-10-03 DOI: 10.2312/stag.20161359

David Canino

引用次数: 0

Selective Rasterized Ray-traced Reflections on the GPU GPU上的选择性光栅化光线追踪反射

Smart Tools and Applications in Graphics Pub Date : 2016-10-03 DOI: 10.2312/stag.20161363

Mattias Frid Kastrati, Prashant Goswami

引用次数: 1