检索结果-内蒙古大学图书馆

International Conference on Cyberworlds

作者： Andreas Riffnaller-Schiefer Ursula H. Augsdörfer Dieter W. Fellner Institute of Computer Graphics and Knowledge Visualization Graz University of Technology Austria Fraunhofer IGD TU Darmstadt Germany

When creating immersive interactive virtual worlds, it is important to not only provide plausible visuals, but also to allow the user to interact with the virtual scene in a natural way. While rigid-body physics simulations are widely used to provide basic interaction, realistic soft-body deformations of virtual objects are challenging and therefore typically not *** present a client-server architecture for interactive physics-based deformation, which makes it possible to add physically accurate response to interaction to any virtual environment. The architecture is highly flexible, can be used from any web enabled client, and facilitates synchronization of computed deformations across multiple users and devices.

关键词： Computational modeling Mathematical model Solid modeling Strain Geometry computer architecture Servers

来源：评论

学校读者我要写书评

暂无评论

Procedural Generation of Traffic Signs 4

Procedural Generation of Traffic Signs

引用

4th Eurographics Workshop on Urban Data Modelling and Visualisation, UDMV 2016

作者： Taal, F.C. Bidarra, R. Computer Graphics and Visualization Group Delft University of Technology Netherlands

ISBN: (纸本)9783038680130

Procedurally-generated virtual urban worlds typically miss plausible signaling objects on the road network, unless they were manually inserted. We present a solution to the problem of procedurally populating a given urban road network with plausible traffic signs. Our tagged graph approach analyzes the road network using a rule-based reasoning mechanism that represents relevant traffic rules, in order to identify potential sign locations. Eventually, a context-based reduction step helps choose the most suitable candidates, taking into account a variety of real-world rules, and determines their actual place and orientation. We discuss the performance and validation of our approach, and conclude that its generality and flexibility make it a very convenient extension to many procedural urban environment applications. © 2016 The Author(s) Eurographics Proceedings © 2016 The Eurographics Association

关键词： Traffic signs

来源：评论

学校读者我要写书评

暂无评论

Construction of a personal experience tweet corpus for health surveillance 15

Construction of a personal experience tweet corpus for healt...

引用

15th Workshop on Biomedical Natural Language Processing, BioNLP 2016

作者： Jiang, Keyuan Calix, Ricardo A. Gupta, Matrika Department of Computer Information Technology and Graphics Purdue University Northwest

ISBN: (纸本)9781945626128

Studies have shown that Twitter can be used for health surveillance, and personal experience tweets (PETs) are an important source of information for health surveillance. To mine Twitter data requires a relatively balanced corpus and it is challenging to construct such a corpus due to the labor-intensive annotation tasks of large data sets. We developed a bootstrap method of finding PETs with the use of the machine learning-based filter. Through a few iterations, our approach can efficiently improve the balance of two class dataset with a reduced amount of annotation work. To demonstrate the usefulness of our method, a PET corpus related to effects caused by 4 dietary supplements was constructed. In 3 iterations, a corpus of 8,770 tweets was obtained from 108,528 tweets collected, and the imbalance of two classes was significantly reduced from 1:31 to 1:3. In addition, two out of three classifiers used showed improved performance over iterations. It is conceivable that our approach can be applied to various other health surveillance studies that use machine learning-based classifications of imbalanced Twitter data. © BioNLP 2016. All rights reserved.

关键词： Dietary supplements

来源：评论

学校读者我要写书评

暂无评论

A deep primal-dual network for guided depth super-resolution 27

A deep primal-dual network for guided depth super-resolution

引用

27th British Machine Vision Conference, BMVC 2016

作者： Riegler, Gernot Ferstl, David R ther, Matthias Bischof, Horst Institute for Computer Graphics and Vision Graz University of Technology Austria

In this paper we present a novel method to increase the spatial resolution of depth images. We combine a deep fully convolutional network with a non-local variational method in a deep primal-dual network. The joint network computes a noise-free, high-resolution estimate from a noisy, low-resolution input depth map. Additionally, a high-resolution intensity image is used to guide the reconstruction in the network. By unrolling the optimization steps of a first-order primal-dual algorithm and formulating it as a network, we can train our joint method end-to-end. This not only enables us to learn the weights of the fully convolutional network, but also to optimize all parameters of the variational method and its optimization procedure. The training of such a deep network requires a large dataset for supervision. Therefore, we generate high-quality depth maps and corresponding color images with a physically based renderer. In an exhaustive evaluation we show that our method outperforms the state-of-the-art on multiple benchmarks. © 2016. The copyright of this document resides with its authors.

关键词： Large dataset

来源：评论

学校读者我要写书评

暂无评论

Digital interface brain computer interaction method based on icon control 11th

Digital interface brain computer interaction method based on...

引用

11th International Conference on Augmented Cognition, AC 2017, held as part of the 19th International Conference on Human-computer Interaction, HCI 2017

作者： Niu, Yafeng Xue, Chengqi Wang, Haiyan Tang, Wenzhe Zhang, Xinyu Jin, Tao Chen, Yingjie Victor School of Mechanical Engineering Southeast University Nanjing211189 China Science and Technology on Electro-Optic Control Laboratory Luoyang471023 China Mechanical and Electrical Engineering Institute China University of Petroleum Qingdao266580 China Department of Computer Graphics Technology Purdue University West LafayetteIN47907 United States

In order to explore the icon controlled digital interface for brain-computer interaction, we use Event-Related Potential technology, first of all, collect the icons from various digital interfaces, use the image processing software to process the icon images, the method comprises the following steps: communication between EEG and test computer, EEG experiment, off-line analysis of the original signal, time domain and frequency domain feature extraction of the group average EEG signal, microprocessor processing, and obtain the user computer function control command of the icon picture, then extract time domain and frequency domain characteristics of target icon picture EEG signal, and calculate the similarity between them, finally realize the triggering of control instruction of the target icon picture. This method can effectively realize icon brain-computer control of the digital interface, and provide the important reference for other elements to interact with the digital interface brain-computer interaction. © Springer International Publishing AG 2017.

关键词： Time domain analysis

来源：评论

学校读者我要写书评

暂无评论

Convolutional Neural Networks for Epileptic Seizure Prediction

arXiv

引用

arXiv 2018年

作者： Eberlein, Matthias Hildebrand, Raphael Tetzlaff, Ronald Hoffmann, Nico Kuhlmann, Levin Brinkmann, Benjamin Müller, Jens Technische Universität Dresden Faculty of Electrical and Computer Engineering Institute of Circuits and Systems Dresden01062 Germany Technische Universität Dresden Faculty of Computer Science Computer Graphics and Visualisation Dresden01062 Germany Faculty of Information Technology Monash University VIC Clayton3800 Australia Department of Medicine St Vincent's Hospital Melbourne VIC Fitzroy3065 Australia Mayo Systems Electrophysiology Laboratory Departments of Neurology and Biomedical Engineering Mayo Clinic RochesterMN55905 United States

Epilepsy is the most common neurological disorder and an accurate forecast of seizures would help to overcome the patient's uncertainty and helplessness. In this contribution, we present and discuss a novel methodology for the classification of intracranial electroencephalography (iEEG) for seizure prediction. Contrary to previous approaches, we categorically refrain from an extraction of hand-crafted features and use a convolutional neural network (CNN) topology instead for both the determination of suitable signal characteristics and the binary classification of preictal and interictal segments. Three different models have been evaluated on public datasets with long-term recordings from four dogs and three patients. Overall, our findings demonstrate the general applicability. In this work we discuss the strengths and limitations of our methodology. Copyright © 2018, The Authors. All rights reserved.

关键词： Electroencephalography

来源：评论

学校读者我要写书评

暂无评论

Interface aesthetics effect on usability: A comparison of two screen designs 18th

Interface aesthetics effect on usability: A comparison of tw...

引用

18th International Conference on Human-computer Interaction, HCI International 2016

作者： Zhao, Liang Vorvoreanu, Mihaela Computer Graphics Technology Purdue University West LafayetteIN United States

ISBN: (纸本)9783319395098

An empirical study was conducted to examine whether the redesigned version of an online interactive visual analytics platform has a positive effect on perceived usability. 8 participants took part in the experiment, completed 8 tasks and answered follow-up interviews. The results show that the effect on perceived usability is positive, and it provides insights of participants’ attitude toward the correlation between aesthetics and usability. Limitations and future work are addressed after the discussion. © Springer International Publishing Switzerland 2016.

关键词： Usability engineering

来源：评论

学校读者我要写书评

暂无评论

Octnetfusion: Learning depth fusion from data

arXiv

引用

arXiv 2017年

作者： Riegler, Gernot Bischof, Horst Institute for Computer Graphics and Vision Graz University of Technology Autonomous Vision Group MPI for Intelligent Systems Tubingen Computer Vision and Geometry Group ETH Zrich

In this paper, we present a learning based approach to depth fusion, i.e., dense 3D reconstruction from multiple depth images. The most common approach to depth fusion is based on averaging truncated signed distance functions, which was originally proposed by Curless and Levoy in 1996. While this method is simple and provides great results, it is not able to reconstruct (partially) occluded surfaces and requires a large number frames to filter out sensor noise and outliers. Motivated by the availability of large 3D model repositories and recent advances in deep learning, we present a novel 3D CNN architecture that learns to predict an implicit surface representation from the input depth maps. Our learning based method significantly outperforms the traditional volumetric fusion approach in terms of noise reduction and outlier suppression. By learning the structure of real world 3D objects and scenes, our approach is further able to reconstruct occluded regions and to fill in gaps in the reconstruction. We demonstrate that our learning based approach outperforms both vanilla TSDF fusion as well as TV-L1 fusion on the task of volumetric fusion. Further, we demonstrate state-of-the-art 3D shape completion results. Copyright © 2017, The Authors. All rights reserved.

关键词： 3D modeling

来源：评论

学校读者我要写书评

暂无评论

Broadening participation in visualization

Broadening participation in visualization

引用

2016 Research on Equity and Sustained Participation in Engineering, Computing, and technology, RESPECT 2016 and 2nd Annual Conference of the IEEE computer Society's Special Technical Community on Broadening Participation, STCBP 2016

作者： Byrd, Vetria L. Computer Graphics Technology Purdue University West LafayetteIN United States

ISBN: (纸本)9781509034192

The REU Site: Research Experience for Undergraduates in Collaborative Data Visualization Applications (VisREU) is a multi-year, interdisciplinary program that provides research experiences for undergraduates with an interest in visualization. The unique feature of the VisREU site is the paring of undergraduate students with research teams which consist of a research faculty member, graduate students (where applicable) and a visualization mentor. Research faculty provide research projects with a visualization component that allow undergraduate students an opportunity to understand the visualization process while doing quality research. Visualization mentors work with student/research mentor teams to create visualizations of research data. In 2015 the program saw an increase in the level of engagement from student participants and research mentors. For two consecutive years (2014/2015) one student from each cohort was selected to present their research results at the annual National Science Foundation (NSF) REU Symposium in Arlington, VA. This talk presents a high-level overview of highlights from the program. © 2016 IEEE.

关键词： Visualization

来源：评论

学校读者我要写书评

暂无评论

Continuous global optimization in surface reconstruction from an oriented point cloud

arXiv

引用

arXiv 2017年

作者： Pan, Rongjiang Skala, Vaclav School of Computer Science and Technology Shandong University Jinan China Centre of Computer Graphics and Data Visualization Department of Computer Science and Engineering University of West Bohemia Plzen Czech Republic

We introduce a continuous global optimization method to the field of surface reconstruction from discrete noisy cloud of points with weak information on orientation. The proposed method uses an energy functional combining flux-based data-fit measures and a regularization term. A continuous convex relaxation scheme assures the global minima of the geometric surface functional. The reconstructed surface is implicitly represented by the binary segmentation of vertices of a 3D uniform grid and a triangulated surface can be obtained by extracting an appropriate isosurface. Unlike the discrete graph-cut solution, the continuous global optimization entails advantages like memory requirements, reduction of metrication errors for geometric quantities, allowing globally optimal surface reconstruction at higher grid resolutions. We demonstrate the performance of the proposed method on several oriented point clouds captured by laser scanners. Experimental results confirm that our approach is robust to noise, large holes and non-uniform sampling density under the condition of very coarse orientation information. Copyright © 2017, The Authors. All rights reserved.

关键词： Global optimization

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：