2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)最新文献_第7页

Evaluating VR Sickness in VR Locomotion Techniques 评估VR运动技术中的VR眩晕

2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) Pub Date : 2021-03-01 DOI: 10.1109/VRW52623.2021.00078

T. V. Gemert, Joanna Bergström

引用次数: 4

Matching 2D Image Patches and 3D Point Cloud Volumes by Learning Local Cross-domain Feature Descriptors 通过学习局部跨域特征描述符匹配二维图像补丁和三维点云

2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) Pub Date : 2021-03-01 DOI: 10.1109/VRW52623.2021.00140

Weiquan Liu, Baiqi Lai, Cheng Wang, Xuesheng Bian, Chenglu Wen, Ming Cheng, Yu Zang, Yan Xia, Jonathan Li

{"title":"Matching 2D Image Patches and 3D Point Cloud Volumes by Learning Local Cross-domain Feature Descriptors","authors":"Weiquan Liu, Baiqi Lai, Cheng Wang, Xuesheng Bian, Chenglu Wen, Ming Cheng, Yu Zang, Yan Xia, Jonathan Li","doi":"10.1109/VRW52623.2021.00140","DOIUrl":"https://doi.org/10.1109/VRW52623.2021.00140","url":null,"abstract":"Establishing the relationship of 2D images and 3D point clouds is a solution to establish the spatial relationship between 2D and 3D space, i.e. AR virtual-real registration. In this paper, we propose a network, 2D3D-GAN-Net, to learn the local invariant cross-domain feature descriptors of 2D image patches and 3D point cloud volumes. Then, the learned local invariant cross-domain feature descriptors are used for matching 2D images and 3D point clouds. The Generative Adversarial Networks (GAN) is embedded into the 2D3D-GANNet, which is used to distinguish the source of the learned feature descriptors, facilitating the extraction of invariant local cross-domain feature descriptors. Experiments show that the local cross-domain feature descriptors learned by 2D3D-GAN-Net are robust, and can be used for cross-dimensional retrieval on the 2D image patches and 3D point cloud volumes dataset. In addition, the learned 3D feature descriptors are used to register the point cloud for demonstrating the robustness of learned local cross-domain feature descriptors.","PeriodicalId":256204,"journal":{"name":"2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)","volume":"412 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126588254","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

Programmable Virtual Reality Environments 可编程虚拟现实环境

2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) Pub Date : 2021-03-01 DOI: 10.1109/VRW52623.2021.00192

Nan Sun, Annette C. Feng, Ryan Patton, Y. Gingold, W. Lages

引用次数: 2

Do materials matter? How surface representation affects presence in virtual environments 材料重要吗?表面表征如何影响虚拟环境中的存在

2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) Pub Date : 2021-03-01 DOI: 10.1109/VRW52623.2021.00214

Jennifer Brade, Alexander Kögel, Benjamin Schreiber, Franziska Klimant

引用次数: 0

Text Selection in AR-HMD Using a Smartphone as an Input Device AR-HMD中使用智能手机作为输入设备的文本选择

2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) Pub Date : 2021-03-01 DOI: 10.1109/VRW52623.2021.00145

Rajkumar Darbar, Joan Odicio-Vilchez, Thibault Lainé, Arnaud Prouzeau, M. Hachet

引用次数: 4

A Shared Haptic Virtual Environment for Dental Surgical Skill Training 面向牙科手术技能培训的共享触觉虚拟环境

2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) Pub Date : 2021-03-01 DOI: 10.1109/VRW52623.2021.00069

Maximilian Kaluschke, Myat Su Yin, P. Haddawy, N. Srimaneekarn, P. Saikaew, G. Zachmann

{"title":"A Shared Haptic Virtual Environment for Dental Surgical Skill Training","authors":"Maximilian Kaluschke, Myat Su Yin, P. Haddawy, N. Srimaneekarn, P. Saikaew, G. Zachmann","doi":"10.1109/VRW52623.2021.00069","DOIUrl":"https://doi.org/10.1109/VRW52623.2021.00069","url":null,"abstract":"Online learning has become an effective approach to reach students who may not be able to travel to university campuses for various reasons. Its use has also dramatically increased during the current COVID-19 pandemic with social distancing and lockdown requirements. But online education has thus far been primarily limited to teaching of knowledge and cognitive skills. There is yet almost no use of online education for teaching of physical clinical skills.In this paper, we present a shared haptic virtual environment for dental surgical skill training. The system provides the teacher and student with a shared environment containing a virtual dental station with patient, a dental drill controlled by a haptic device, and a drillable tooth. It also provides automated scoring of procedure outcomes. We discuss a number of optimizations used in order to provide the high-fidelity simulation and real-time performance needed for training of high-precision clinical skills. Since tactile, in particular kinaesthetic, sense is essential in carrying out many dental procedures, an important question is how to best teach this in a virtual environment. In order to support exploring this, our system includes three modes for transmitting haptic sensations from the user performing the procedure to the user observing.","PeriodicalId":256204,"journal":{"name":"2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127725300","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: 5

RED: A Real-Time Datalogging Toolkit for Remote Experiments RED:用于远程实验的实时数据记录工具包

2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) Pub Date : 2021-03-01 DOI: 10.1109/VRW52623.2021.00183

Sam Adeniyi, Evan Suma Rosenberg, Jerald Thomas

引用次数: 0

Touch Recognition on Complex 3D Printed Surfaces using Filter Response Analysis 基于滤波响应分析的复杂3D打印表面触摸识别

2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) Pub Date : 2021-03-01 DOI: 10.1109/VRW52623.2021.00043

Dimitar Valkov, S. Thiele, Karim Huesmann, E. Gebauer, B. Risse

{"title":"Touch Recognition on Complex 3D Printed Surfaces using Filter Response Analysis","authors":"Dimitar Valkov, S. Thiele, Karim Huesmann, E. Gebauer, B. Risse","doi":"10.1109/VRW52623.2021.00043","DOIUrl":"https://doi.org/10.1109/VRW52623.2021.00043","url":null,"abstract":"Touch sensing on various surfaces has played a prominent role in human-computer interaction in the last decades. However, current technologies are mostly suited for flat or sufficiently smooth surfaces and touch sensing on complex geometries remains a challenging task, especially when the sensing hardware needs to be embedded into the interactive object. In this paper, we introduce a novel sensing approach based on the observation that conductive materials and the user’s hand or finger can be considered a complex filter system with well-conditioned input-output relationships. Different hand postures can be disambiguated by mapping the response of these filters using an intentionally small convolutional neural network. Our experiments show that even straight-forward electrode geometries provided by common 3D printers and filaments can be used to achieve high accuracy, rendering expressive interactions with complex 3D shapes possible while allowing to integrate the touch surface directly into the interactive object. Ultimately, our low-cost and versatile sensing approach enables rich interaction on a variety of objects and surfaces which is demonstrated through a series of illustrative experiments.","PeriodicalId":256204,"journal":{"name":"2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)","volume":"208 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132817048","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

Revisiting the Scene-Graph-as-Bus Concept: Inter-networking Heterogeneous Applications Using glTF Fragments 重新审视场景图作为总线的概念:使用glTF片段的跨网络异构应用程序

2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) Pub Date : 2021-03-01 DOI: 10.1109/VRW52623.2021.00068

Jaspreet Singh Dhanjan, A. Steed

引用次数: 1

Fighting Alcohol Craving Using Virtual Reality: the Role of Social Interaction 使用虚拟现实对抗酒精渴望:社会互动的作用

2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) Pub Date : 2021-03-01 DOI: 10.1109/VRW52623.2021.00054

Andreas Junker, Carl Hutters, Daniel Reipur, Lasse Embøl, Ali Adjorlu, R. Nordahl, Stefania Serafin, Daniel Thaysen Petersen, A. Fink-Jensen

{"title":"Fighting Alcohol Craving Using Virtual Reality: the Role of Social Interaction","authors":"Andreas Junker, Carl Hutters, Daniel Reipur, Lasse Embøl, Ali Adjorlu, R. Nordahl, Stefania Serafin, Daniel Thaysen Petersen, A. Fink-Jensen","doi":"10.1109/VRW52623.2021.00054","DOIUrl":"https://doi.org/10.1109/VRW52623.2021.00054","url":null,"abstract":"Craving is a cause of relapse in patients suffering from a substance use disorder. Cue-exposure therapy builds on eliciting feelings of craving in patients in safe and controlled environments to condition them to control these feelings. Different efficient and resource-friendly methods of eliciting craving exist, (such as written material, still pictures, etc.). However, these methods create knowledge and skill transfer gaps between therapy sessions and real life scenarios. Virtual reality allows more true-to-life experiences, and research demonstrates its capabilities in eliciting craving in patients. Studies have identified different environments that elicits craving, suggesting bars to be one of the most effective ones. Research also suggests the presence of others to be an effective method of eliciting craving in users. However, the effect of social interaction has not yet been explored. Therefore, this paper presents a virtual bar with the purpose to investigate whether social interaction affects alcohol craving in users. The VR intervention is designed with close cooperation with a psychiatrist experienced in working with individuals suffering from alcohol use disorder. In this paper, we present the designed and developed VR intervention and discuss how an experiment can be conducted after the COVID-19 shutdowns.","PeriodicalId":256204,"journal":{"name":"2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132212231","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