检索结果-内蒙古大学图书馆

12th Eurographics Workshop on 3D Object Retrieval, 3DOR 2019, in conjunction with the 40th Annual Conference of the European Association for computer graphics, EG 2019

作者： Yuan, Juefei Abdul-Rashid, Hameed Li, Bo Lu, Yijuan Schreck, Tobias Bui, Ngoc-Minh Do, Trong-Le Nguyen, Khac-Tuan Nguyen, Thanh-An Nguyen, Vinh-Tiep Tran, Minh-Triet Wang, Tianyang School of Computing Sciences and Computer Engineering University of Southern Mississippi United States Department of Computer Science Texas State University United States Institute of Computer Graphics and Knowledge Visualization Graz University of Technology Austria Faculty of Information Technology Vietnam National University Ho Chi Minh City Viet Nam Software Engineering Lab Vietnam National University Ho Chi Minh City Viet Nam University of Information Technology Vietnam National University Ho Chi Minh City Viet Nam Department of Computer Science and Information Technology Austin Peay State University United States

ISBN: (纸本)9783038680772

Sketch-based 3D scene retrieval is to retrieve 3D scene models given a user's hand-drawn 2D scene sketch. It is a brand new but also very challenging research topic in the field of 3D object retrieval due to the semantic gap in their representations: 3D scene models or views differ from non-realistic 2D scene sketches. To boost this interesting research, we organized a 2D Scene Sketch-Based 3D Scene Retrieval track in SHREC'18, resulting a SceneSBR18 benchmark which contains 10 scene classes. In order to make it more comprehensive, we have extended the number of the scene categories from the initial 10 classes in the SceneSBR2018 benchmark to 30 classes, resulting in a new and more challenging benchmark SceneSBR2019 which has 750 2D scene sketches and 3,000 3D scene models. Therefore, the objective of this track is to further evaluate the performance and scalability of different 2D scene sketch-based 3D scene model retrieval algorithms using this extended and more comprehensive new benchmark. In this track, two groups from USA and Vietnam have successfully submitted 4 runs. Based on 7 commonly used retrieval metrics, we evaluate their retrieval performance. We have also conducted a comprehensive analysis and discussion of these methods and proposed several future research directions to deal with this challenging research topic. Deep learning techniques have been proved their great potentials again in dealing with this challenging retrieval task, in terms of both retrieval accuracy and scalability to a larger dataset. We hope this publicly available benchmark, together with its evaluation results and source code, will further enrich and promote 2D scene sketch-based 3D scene retrieval research area and its corresponding applications. © 2019 The Author(s)

关键词： Scalability

来源：评论

学校读者我要写书评

暂无评论

A Voxel-based rendering pipeline for large 3D line sets

arXiv

引用

arXiv 2018年

作者： Kanzler, Mathias Rautenhaus, Marc Westermann, Rüdiger Computer Graphics and Visualization Group Technische Universität München Garching Germany

We present a voxel-based rendering pipeline for large 3D line sets that employs GPU ray-casting to achieve scalable rendering including transparency and global illumination effects that cannot be achieved with GPU rasterization. Even for opaque lines we demonstrate superior rendering performance compared to GPU rasterization of lines, and when transparency is used we can interactively render large amounts of lines that are infeasible to be rendered via rasterization. To achieve this, we propose a direction-preserving encoding of lines into a regular voxel grid, along with the quantization of directions using face-to-face connectivity in this grid. On the regular grid structure, parallel GPU ray-casting is used to determine visible fragments in correct visibility order. To enable interactive rendering of global illumination effects like low-frequency shadows and ambient occlusions, illumination simulation is performed during ray-casting on a level-of-detail (LoD) line representation that considers the number of lines and their lengths per voxel. In this way we can render effects which are very difficult to render via GPU rasterization. A detailed performance and quality evaluation compares our approach to rasterization-based rendering of lines. Copyright © 2018, The Authors. All rights reserved.

关键词： Transparency

来源：评论

学校读者我要写书评

暂无评论

Comparative Analysis of Magnetic Resonance Fingerprinting Dictionaries via Dimensionality Reduction 1

引用

1st International Workshop on Graph Learning in Medical Imaging, GLMI 2019 held in conjunction with the 22nd International Conference on Medical Image Computing and computer-Assisted Intervention, MICCAI 2019

作者： Dzyubachyk, Oleh Koolstra, Kirsten Pezzotti, Nicola Lelieveldt, Boudewijn P. F. Webb, Andrew Börnert, Peter Division of Image Processing Department of Radiology Leiden University Medical Center Leiden Netherlands C.J. Gorter Center for High Field MRI Department of Radiology Leiden University Medical Center Leiden Netherlands Computer Graphics and Visualization Group Delft University of Technology Delft Netherlands Philips Research Eindhoven Eindhoven Netherlands Intelligent Systems Department Delft University of Technology Delft Netherlands Philips Research Hamburg Hamburg Germany

ISBN: (数字)9783030358174

ISBN: (纸本)9783030358167

Quality assessment of different Magnetic Resonance Fingerprinting (MRF) sequences and their corresponding dictionaries remains an unsolved problem. In this work we present a method in which we approach analysis of MRF dictionaries by performing dimensionality reduction and representing them as low-dimensional point sets (embeddings). Dimensionality reduction was performed using a modification of the t-Distributed Stochastic Neighbor Embedding (t-SNE) algorithm. First, we demonstrated stability of calculated embeddings that allows neglecting the stochastic nature of t-SNE. Next, we proposed and analyzed two algorithms for comparing the embeddings. Finally, we performed two simulations in which we reduced the MRF sequence/dictionary in length or size and analyzed the influence of this reduction on the resulting embedding. We believe that this research can pave the way to development of a software tool for analysis, including better understanding, optimization and comparison, of different MRF sequences. © 2019, Springer Nature Switzerland AG.

关键词： Magnetic resonance

来源：评论

学校读者我要写书评

暂无评论

A new approach for motion estimation and correction of thermographic images in brain surgery 16

A new approach for motion estimation and correction of therm...

引用

16th International Workshop on Cellular Nanoscale Networks and Their Applications, CNNA 2018

作者： Moshaei-Nezhad, Yahya Müller, Jens Tetzlaff, Ronald Hoffmann, Nico Institute of Circuits and Systems Faculty of Electronic and Computer Engineering Technische Universität Dresden Dresden01062 Germany Clinical Sensoring and Monitoring Anesthesiology and Intensive Care Medicine Faculty of Medicine Carl Gustav Carus Technische Universität Dresden Dresden01307 Germany Institute of Computer Graphics and Visualization Faculty of Computer Science Technische Universität Dresden Dresden01062 Germany

ISBN: (纸本)9783800747665

Motion estimation and correction implementations are important components of medical image analysis. We present a new approach for motion estimation and correction of thermographic images in brain surgery. In a pre-processing step, the Phase Correlation (PC) method is performed in order to detect large displacements of objects in two successive images. Additionally, due to noise in thermographic images, a Cellular Nonlinear Network (CNN) based image enhancement method is applied. Then, in the following processing step, the Optical Flow (OF) method is employed to compensate local motion artifacts. The proposed algorithm is evaluated during an offline analysis of the recorded dataset of brain surgeries and the performance evaluation between different algorithms is made based on the determination of the Normalized Cross-Correlation (NCC). The results clearly indicate that the proposed algorithm is able to reduce breathing motion artifacts effectively as well as the NCC evaluation show better results in comparison to other mentioned algorithms. © VDE VERLAG GMBH.

关键词： Surgery

来源：评论

学校读者我要写书评

暂无评论

A novel parallel algorithm for computing the mooring line based on lumped-mass method

引用

International Journal of Modeling, Simulation, and Scientific Computing 2017年第1期8卷 52-66页

作者： Zhong-Xian Zhu Yong Yin Muhammad Mobeen Movania Laboratory of Marine Simulation and ControlDalian Maritime University Linghai Road No.1 Dalian116026P.R.China Computer Graphics and Visualization Research Group DHA Suffa University 75500 KarachiPakistan

Dynamic modeling and simulation of the mooring system are the key technologies in anchor handling simulator(AHS).Built up the mooring line’s dynamics model based on lumped-mass method(LMM),and fourth-order Runge–Kutta method was used to solve the model;because of the huge amounts of calculation in the model’s solving,the very time-consuming process brings great impact on the real-time,fidelity and immersed feeling in the anchor handling scene simulation,seriously hindered its application in AHS.A novel parallel algorithm was proposed to speed-up the model’s solving process by taking the advantages of graphic processing units(GPU’s)massive parallel computing and float point computing *** model’s solving process was implemented on vertex shader based on the transform feedback(TF)mechanism in modern *** results show that,the new algorithm reduced the calculating time largely without losing accuracy,and can finally realize the real-time solving and simulation.

关键词： Anchor handling simulator mooring system lumped-mass method dynamics model parallel computing transform feedback mechanism

来源：评论

学校读者我要写书评

暂无评论

What we are teaching in introduction to computer graphics 38

What we are teaching in introduction to computer graphics

引用

38th Annual Conference on European Association for computer graphics, EUROgraphics 2017

作者： Balreira, D.G. Walter, M. Fellner, D.W. Institute of Informatics UFRGS Brazil TU Darmstadt Fraunhofer IGD Germany Graz University of Technology Institute of Computer Graphics and Knowledge Visualization Austria

computer graphics is a very active field, with new knowledge being published every day at a high rate. There is, therefore, some pressure to regularly review our teaching contents and adjust accordingly. Among the courses on a standard curriculum, the introductory computer graphics course is very often the door for students into the exciting area of computer graphics. It is also the opportunity to attract and engage the best talent for the field. In this paper, we address the question of what we are teaching in the introductory computer graphics course as a community. Our main motivation was to find out how our peers are teaching this first course and use this knowledge to ease the redesign of our introductory course. We have surveyed 20 introductory computer graphics undergraduate courses from higher level educational institutions from around the world. Our source of information was purely online available resources, such as the weekly list of topics, usually provided by the professors themselves. We gathered and processed this data using a bottom-up approach. The final top level list of subjects and percentages for the introductory computer graphics courses is as follows: Rendering (75%), Modeling (14%), Animation (7%), Fundamentals (3%), and visualization (1%). Although there is a common body of knowledge and proposed standards for an introductory course in computer graphics, we also noticed considerable variation among institutions. We believe this survey will be helpful for institutions considering designing a new introductory course from scratch or redesigning an existing one. © 2017 The Author(s) Eurographics Proceedings © 2017 The Eurographics Association.

关键词： Teaching

来源：评论

学校读者我要写书评

暂无评论

Revealing the Invisible: Visual Analytics and Explanatory Storytelling for Advanced Team Sport Analysis

Revealing the Invisible: Visual Analytics and Explanatory St...

引用

Big Data Visual Analytics (BDVA)

作者： Manuel Stein Thorsten Breitkreutz Johannes Haussler Daniel Seebacher Christoph Niederberger Tobias Schreck Michael Grossniklaus Daniel Keim Halldor Janetzko Department of Computer and Information Science University of Konstanz Germany VIZRT Switzerland Institute for Computer Graphics and Knowledge Visualization Graz University of Technology Austria Universitat Konstanz Konstanz Baden-WÃ¼rttemberg DE Department of Geography University of Zurich Switzerland

ISBN: (纸本)9781538691953

The analysis of invasive team sports often concentrates on cooperative and competitive aspects of collective movement behavior. A main goal is the identification and explanation of strategies, and eventually the development of new strategies. In visual sports analytics, a range of different visual-interactive analysis techniques have been proposed, e.g., based on visualization using for example trajectories, graphs, heatmaps, and animations. Identifying suitable visualizations for a specific situation is key to a successful analysis. Existing systems enable the interactive selection of different visualization facets to support the analysis process. However, an interactive selection of appropriate visualizations is a difficult, complex, and time-consuming task. In this paper, we propose a four-step analytics conceptual workflow for an automatic selection of appropriate views for key situations in soccer games. Our concept covers classification, specification, explanation, and alteration of match situations, effectively enabling the analysts to focus on important game situations and the determination of alternative moves. Combining abstract visualizations with real world video recordings by Immersive Visual Analytics and descriptive storylines, we support domain experts in understanding key situations. We demonstrate the usefulness of our proposed conceptual workflow via two proofs of concept and evaluate our system by comparing our results to manual video annotations by domain experts. Initial expert feedback shows that our proposed concept improves the understanding of competitive sports and leads to a more efficient data analysis.

关键词： Sports Games Data visualization Trajectory Visual analytics Video recording

来源：评论

学校读者我要写书评

暂无评论

Search and retrieval in CAD databases a user-centric state-of-the-art overview 12

Search and retrieval in CAD databases a user-centric state-o...

引用

12th International Joint Conference on computer Vision, Imaging and computer graphics Theory and Applications, VISIGRAPP 2017

作者： Schinko, Christoph Vosgien, Thomas Prante, Thorsten Schreck, Tobias Ullrich, Torsten Fraunhofer Austria Research GmbH Visual Computing Graz Graz Austria Institute of Computer Graphics and Knowledge Visualization Graz University of Technology Graz Austria V-Research GmbH Dornbirn Austria

ISBN: (纸本)9789897582240

This article presents a state-of-the-art overview on shape, information and design retrieval systems in the context of CAD engineering. In contrast to existing surveys, we classify the different approaches from a CAD application user point of view. As a consequence, we focus on features of surveyed techniques such as: Supported shape data types, handling of geometric invariances, support of metadata, supported query types, quality of retrieval results, and the availability of implementations. © 2017 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： computer aided design

来源：评论

学校读者我要写书评

暂无评论

Impact of Implementing Game Elements in Gamifying Educational Environment: A Study

引用

Journal of Physics: Conference Series 2019年第1期1358卷

作者： F Durin R Lee A Bade C K On N Hamzah Mathematics Graphics and Visualization Research Group (M-GRAVS) Faculty of Science and Natural Resources Universiti Malaysia Sabah 88450 Kota Kinabalu Sabah Malaysia Mathematics and Computer Graphics Faculty of Science and Natural Resources Universiti Malaysia Sabah Center of Excellence in Semantic Agents Universiti Malaysia Sabah Sabah Malaysia

Gamification is the use of game elements in a non-gaming environments. The aims of implementing game elements in gamifying educational environment is to make the learners engaged and motivated in the learning process. But, some of the research result giving bad impacts in implementing gamification in education. The objective of this research is to study the impact of implementing game elements in education. The aim of this research is to study which game elements is most commonly used in gamifying educational environment. The study is done by reviewing previous research on impacts of implementing game element in education from 2008 until 2018 to see whether the elements giving positive or negative impacts on education. The results shows the most common game elements used in gamification is rewards, feedback, challenge, quest/mission/goal, level/stage, point/score, avatars/players, task, character, time-limit, narrative/dialogue, leaderboards, progress bars, and badges. Majority of the research on gamification in education reports positive impacts by introducing gamification in education. In conclusion, by implementing game elements in the gamifying educational environment is a good method to create a good adjustment in learners' behavior and assertiveness in the learning process, it can develop engagement and motivation of the learners'.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Comparative visualization for diffusion tensor imaging group study at multiple levels of detail

Comparative visualization for diffusion tensor imaging group...

引用

2017 Eurographics Workshop on Visual Computing for Biology and Medicine, VCBM 2017

作者： Zhang, C. Höllt, T. Caan, M.W.A. Eisemann, E. Vilanova, A. Computer Graphics and Visualization Delft University of Technology Delft Netherlands Computational Biology Center Leiden University Medical Center Leiden Netherlands Brain Imaging Center Academic Medical Center University of Amsterdam Amsterdam Netherlands

ISBN: (纸本)9783038680369

Diffusion Tensor Imaging (DTI) group studies often require the comparison of two groups of 3D diffusion tensor fields. The total number of datasets involved in the study and the multivariate nature of diffusion tensors together make this a challenging process. The traditional approach is to reduce the six-dimensional diffusion tensor to some scalar quantities, which can be analyzed with univariate statistical methods, and visualized with standard techniques such as slice views. However, this provides merely part of the whole story due to information reduction. If to take the full tensor information into account, only few methods are available, and they focus on the analysis of a single group, rather than the comparison of two groups. Simultaneously comparing two groups of diffusion tensor fields by simple juxtaposition or superposition is rather impractical. In this work, we extend previous work by Zhang et al. [ZCH∗17] to visually compare two groups of diffusion tensor fields. To deal with the wealth of information, the comparison is carried out at multiple levels of detail. In the 3D spatial domain, we propose a details-on-demand glyph representation to support the visual comparison of the tensor ensemble summary information in a progressive manner. The spatial view guides analysts to select voxels of interest. Then at the detail level, the respective original tensor ensembles are compared in terms of tensor intrinsic properties, with special care taken to reduce visual clutter. We demonstrate the usefulness of our visual analysis system by comparing a control group and an HIV positive patient group. © 2017 The Eurographics Association.

关键词： Tensors

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：