Eurographics ... Workshop on 3D Object Retrieval : EG 3DOR. Eurographics Workshop on 3D Object Retrieval最新文献_第5页

Automatic Hierarchical Arrangement of Vector Designs 矢量设计的自动分层排列

Eurographics ... Workshop on 3D Object Retrieval : EG 3DOR. Eurographics Workshop on 3D Object Retrieval Pub Date : 2021-01-01 DOI: 10.2312/EGS.20211016

Matthew Fisher, V. Agarwal, T. Beri

{"title":"Automatic Hierarchical Arrangement of Vector Designs","authors":"Matthew Fisher, V. Agarwal, T. Beri","doi":"10.2312/EGS.20211016","DOIUrl":"https://doi.org/10.2312/EGS.20211016","url":null,"abstract":"We present a method that transforms an unstructured vector design into a logical hierarchy of groups of objects. Each group is a meaningful collection, formed by proximity in visual characteristics (like size, shape, color, etc.) and spatial location of objects and models the grouping principles designers use. We first simplify the input design by partially or completely flattening it and isolate duplicate geometries in the design (for example, repeating patterns due to copy and paste operations). Next we build the object containment hierarchy by assigning objects that are wholly enclosed inside the geometry of other objects as children of the enclosing parent. In the final clustering phase, we use agglomerative clustering to obtain a bottom-up hierarchical grouping of all objects by comparing and ranking all pairs of objects according to visual and spatial characteristics. Spatial proximity segregates far apart objects, but when they are identical (or near identical) designers generally prefer to keep (and edit) them together. To accommodate this, we detect near identical objects and group them together during clustering despite their spatial separation. We further restrict group formation so that z-order disturbances in the design keep the visual appearance unaffected for tightly-overlapping geometry. The generated organization is equivalent to the original design and the organization results are used to facilitate abstract navigation (hierarchical, lateral or near similar) and selections in the design. Our technique works well with a variety of input designs with commonly identifiable objects and structural patterns. CCS Concepts • Applied computing → Document analysis; • Information systems → Clustering;","PeriodicalId":72958,"journal":{"name":"Eurographics ... Workshop on 3D Object Retrieval : EG 3DOR. Eurographics Workshop on 3D Object Retrieval","volume":"195 1","pages":"29-32"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78995578","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: 2

SHREC 2021: Surface-based Protein Domains Retrieval SHREC 2021:基于表面的蛋白质结构域检索

Eurographics ... Workshop on 3D Object Retrieval : EG 3DOR. Eurographics Workshop on 3D Object Retrieval Pub Date : 2021-01-01 DOI: 10.2312/3DOR.20211308

Florent Langenfeld, Tunde Aderinwale, Charles W Christoffer, Woong-Hee Shin, Genki Terashi, Xiao Wang, D. Kihara, H. Benhabiles, K. Hammoudi, A. Cabani, Féryal Windal, Mahmoud Melkemi, Ekpo Otu, R. Zwiggelaar, David Hunter, Yonghuai Liu, Léa Sirugue, Huu-Nghia H. Nguyen, Tuan-Duy H. Nguyen, Vinh-Thuyen Nguyen-Truong, D. Le, Hai-Dang Nguyen, M. Tran, M. Montès

{"title":"SHREC 2021: Surface-based Protein Domains Retrieval","authors":"Florent Langenfeld, Tunde Aderinwale, Charles W Christoffer, Woong-Hee Shin, Genki Terashi, Xiao Wang, D. Kihara, H. Benhabiles, K. Hammoudi, A. Cabani, Féryal Windal, Mahmoud Melkemi, Ekpo Otu, R. Zwiggelaar, David Hunter, Yonghuai Liu, Léa Sirugue, Huu-Nghia H. Nguyen, Tuan-Duy H. Nguyen, Vinh-Thuyen Nguyen-Truong, D. Le, Hai-Dang Nguyen, M. Tran, M. Montès","doi":"10.2312/3DOR.20211308","DOIUrl":"https://doi.org/10.2312/3DOR.20211308","url":null,"abstract":"Proteins are essential to nearly all cellular mechanism, and often interact through their surface with other cell molecules, such as proteins and ligands. The evolution generates plenty of different proteins, with unique abilities, but also proteins with related functions hence surface, which is therefore of primary importance for their activity. In the present work, we assess the ability of five methods to retrieve similar protein surfaces, using either their shape only (3D meshes), or their shape and the electrostatic potential at their surface, an important surface property. Five different groups participated in this challenge using the shape only, and one group extended its pre-existing algorithm to handle the electrostatic potential. The results reveal both the ability of the methods to detect related proteins and their difficulties to distinguish between topologically related proteins. CCS Concepts • Applied computing → Computational biology; • General and reference → Evaluation;","PeriodicalId":72958,"journal":{"name":"Eurographics ... Workshop on 3D Object Retrieval : EG 3DOR. Eurographics Workshop on 3D Object Retrieval","volume":"19 1","pages":"19-26"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87468730","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

Robust Image Denoising using Kernel Predicting Networks 基于核预测网络的鲁棒图像去噪

Eurographics ... Workshop on 3D Object Retrieval : EG 3DOR. Eurographics Workshop on 3D Object Retrieval Pub Date : 2021-01-01 DOI: 10.2312/EGS.20211018

Zhilin Cai, Yang Zhang, Marco Manzi, A. C. Öztireli, M. Gross, T. Aydin

引用次数: 3

Shape Classification of Building Information Models using Neural Networks 基于神经网络的建筑信息模型形状分类

Eurographics ... Workshop on 3D Object Retrieval : EG 3DOR. Eurographics Workshop on 3D Object Retrieval Pub Date : 2021-01-01 DOI: 10.2312/3DOR.20211306

I. Evangelou, N. Vitsas, Georgios Papaioannou, Manolis Georgioudakis, A. Chatzisymeon

引用次数: 1

Visualising the Transition of Large Networks via Dimensionality Reduction to Illustrate the Evolution of the Human Brain 通过降维来可视化大网络的过渡，以说明人类大脑的进化

Eurographics ... Workshop on 3D Object Retrieval : EG 3DOR. Eurographics Workshop on 3D Object Retrieval Pub Date : 2021-01-01 DOI: 10.2312/EGS.20211014

F. Ganglberger, J. Kaczanowska, W. Haubensak, K. Bühler

引用次数: 0

Tight Normal Cone Merging for Efficient Collision Detection of Thin Deformable Objects 基于紧法向锥合并的薄变形物体有效碰撞检测

Eurographics ... Workshop on 3D Object Retrieval : EG 3DOR. Eurographics Workshop on 3D Object Retrieval Pub Date : 2021-01-01 DOI: 10.2312/EGS.20211021

Dong-Hoon Han, Changyoon Lee, Sangbin Lee, Hyeongseok Ko

引用次数: 1

Contributors 贡献者

Eurographics ... Workshop on 3D Object Retrieval : EG 3DOR. Eurographics Workshop on 3D Object Retrieval Pub Date : 2020-12-03 DOI: 10.14324/111.444.2396-9008.1168

Object Editorial Team

引用次数: 0

Theses in Progress 正在进行的论文

Eurographics ... Workshop on 3D Object Retrieval : EG 3DOR. Eurographics Workshop on 3D Object Retrieval Pub Date : 2020-12-03 DOI: 10.14324/111.444.2396-9008.1167

Object Editorial Team

引用次数: 0

Smoothed Particle Hydrodynamics Techniques for the Physics Based Simulation of Fluids and Solids 基于物理的流体和固体模拟的光滑粒子流体动力学技术

Eurographics ... Workshop on 3D Object Retrieval : EG 3DOR. Eurographics Workshop on 3D Object Retrieval Pub Date : 2020-09-15 DOI: 10.2312/egt.20191035

Dan Koschier, Jan Bender, B. Solenthaler, M. Teschner

{"title":"Smoothed Particle Hydrodynamics Techniques for the Physics Based Simulation of Fluids and Solids","authors":"Dan Koschier, Jan Bender, B. Solenthaler, M. Teschner","doi":"10.2312/egt.20191035","DOIUrl":"https://doi.org/10.2312/egt.20191035","url":null,"abstract":"Graphics research on Smoothed Particle Hydrodynamics (SPH) has produced fantastic visual results that are unique across the board of research communities concerned with SPH simulations. Generally, the SPH formalism serves as a spatial discretization technique, commonly used for the numerical simulation of continuum mechanical problems such as the simulation of fluids, highly viscous materials, and deformable solids. Recent advances in the field have made it possible to efficiently simulate massive scenes with highly complex boundary geometries on a single PC [Com16b, Com16a]. Moreover, novel techniques allow to robustly handle interactions among various materials [Com18,Com17]. As of today, graphics-inspired pressure solvers, neighborhood search algorithms, boundary formulations, and other contributions often serve as core components in commercial software for animation purposes [Nex17] as well as in computer-aided engineering software [FIF16]. \u0000This tutorial covers various aspects of SPH simulations. Governing equations for mechanical phenomena and their SPH discretizations are discussed. Concepts and implementations of core components such as neighborhood search algorithms, pressure solvers, and boundary handling techniques are presented. Implementation hints for the realization of SPH solvers for fluids, elastic solids, and rigid bodies are given. The tutorial combines the introduction of theoretical concepts with the presentation of actual implementations.","PeriodicalId":72958,"journal":{"name":"Eurographics ... Workshop on 3D Object Retrieval : EG 3DOR. Eurographics Workshop on 3D Object Retrieval","volume":"62 1 1","pages":"1-41"},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85053927","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: 68

Treemap Literacy: A Classroom-Based Investigation 树图素养:基于课堂的调查

Eurographics ... Workshop on 3D Object Retrieval : EG 3DOR. Eurographics Workshop on 3D Object Retrieval Pub Date : 2020-05-27 DOI: 10.2312/eged.20201032

Elif E. Firat, A. Denisova, R. Laramee

{"title":"Treemap Literacy: A Classroom-Based Investigation","authors":"Elif E. Firat, A. Denisova, R. Laramee","doi":"10.2312/eged.20201032","DOIUrl":"https://doi.org/10.2312/eged.20201032","url":null,"abstract":"Visualization literacy, the ability to interpret and understand visual designs, has gained momentum in the educational and information visualization communities. The goal of this research is to identify and address barriers to treemap literacy – a popular visual design, with a view to improve a non-expert user’s treemap visualization literacy skills. In this paper we present the results of two years of an information visualization assignment, which are used to identify the barriers to and challenges of understanding and creating treemaps. From this, we develop a treemap visualization literacy test. Then, we propose a pedagogical tool that facilitates both teaching and learning of treemaps and advances treemap visualization literacy. To investigate the efficiency of this educational software, we then conduct a classroom-based study with 25 participants. We identify the properties of treemaps that can hinder literacy and cognition based on the results from the treemap visualization literacy test. Results also provide further support for the use of our tool that had a positive effect on treemap literacy skills of university students.","PeriodicalId":72958,"journal":{"name":"Eurographics ... Workshop on 3D Object Retrieval : EG 3DOR. Eurographics Workshop on 3D Object Retrieval","volume":"211 12 1","pages":"29-38"},"PeriodicalIF":0.0,"publicationDate":"2020-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76878927","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: 17