2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)最新文献_第8页

Towards Sailing supported by Augmented Reality: Motivation, Methodology and Perspectives 增强现实支持的航海:动机、方法和观点

2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) Pub Date : 2020-11-01 DOI: 10.1109/ISMAR-Adjunct51615.2020.00076

Francesco Laera, M. Foglia, Alessandro Evangelista, A. Boccaccio, M. Gattullo, V. Manghisi, Joseph L. Gabbard, A. Uva, M. Fiorentino

{"title":"Towards Sailing supported by Augmented Reality: Motivation, Methodology and Perspectives","authors":"Francesco Laera, M. Foglia, Alessandro Evangelista, A. Boccaccio, M. Gattullo, V. Manghisi, Joseph L. Gabbard, A. Uva, M. Fiorentino","doi":"10.1109/ISMAR-Adjunct51615.2020.00076","DOIUrl":"https://doi.org/10.1109/ISMAR-Adjunct51615.2020.00076","url":null,"abstract":"Sailing is a multidisciplinary activity that requires years to master. Recently this sustainable sport is becoming even harder due to the increasing number of onboard sensors, automation, artificial intelligence, and the high performances obtainable with modern vessels and sail designs. Augmented Reality technology (AR) has the potential to assist sailors of all ages and experience level and improve confidence, accessibility, situation awareness, and safety. This work presents our ongoing research and methodology for developing AR assisted sailing. We started with the problem definition followed by a state of the art using a systematic review. Secondly, we elicited the main task and variables using an online questionnaire with experts. Third, we extracted the main variables and conceptualized some visual interfaces using 3 different approaches. As final phase, we designed and implemented a user test platform using a VR headset to simulate AR in different marine scenarios. For a real deployment, we witness the lack of available AR devices, so we are developing one specific headset dedicated to this task. We also envision the possible redesign of the entire boat as a consequence of the introduction of AR technology.","PeriodicalId":433361,"journal":{"name":"2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)","volume":"167 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121056728","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

LSFB: A Low-cost and Scalable Framework for Building Large-Scale Localization Benchmark LSFB:用于构建大规模本地化基准的低成本和可扩展框架

2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) Pub Date : 2020-11-01 DOI: 10.1109/ISMAR-Adjunct51615.2020.00065

Haomin Liu, Mingxuan Jiang, Zhuang Zhang, Xiaopeng Huang, Linsheng Zhao, Meng Hang, Youji Feng, H. Bao, Guofeng Zhang

{"title":"LSFB: A Low-cost and Scalable Framework for Building Large-Scale Localization Benchmark","authors":"Haomin Liu, Mingxuan Jiang, Zhuang Zhang, Xiaopeng Huang, Linsheng Zhao, Meng Hang, Youji Feng, H. Bao, Guofeng Zhang","doi":"10.1109/ISMAR-Adjunct51615.2020.00065","DOIUrl":"https://doi.org/10.1109/ISMAR-Adjunct51615.2020.00065","url":null,"abstract":"With the rapid development of mobile sensor, network infrastructure and cloud computing, the scale of AR application scenario is expanding from small or medium scale to large-scale environments. Localization in the large-scale environment is a critical demand for the AR applications. Most of the commonly used localization techniques require quite a number of data with groundtruth localization for algorithm benchmarking or model training. The existed groundtruth collection methods can only be used in the outdoors, or require quite expensive equipments or special deployments in the environment, thus are not scalable to large-scale environments or to massively produce a large amount of groundtruth data. In this work, we propose LSFB, a novel low-cost and scalable frame-work to build localization benchmark in large-scale environments with groundtruth poses. The key is to build an accurate HD map of the environment. For each visual-inertial sequence captured in it, the groundtruth poses are obtained by joint optimization taking both the HD map and visual-inertial constraints. The experiments demonstrate the obtained groundtruth poses are accurate enough for AR applications. We use the proposed method to collect a dataset of both mobile phones and AR glass exploring in large-scale environments, and will release the dataset as a new localization benchmark for AR.","PeriodicalId":433361,"journal":{"name":"2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125365380","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: 3

Comparing Single-modal and Multimodal Interaction in an Augmented Reality System 增强现实系统中单模态与多模态交互的比较

2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) Pub Date : 2020-11-01 DOI: 10.1109/ISMAR-Adjunct51615.2020.00052

Zhimin Wang, Huangyue Yu, Haofei Wang, Zongji Wang, Feng Lu

{"title":"Comparing Single-modal and Multimodal Interaction in an Augmented Reality System","authors":"Zhimin Wang, Huangyue Yu, Haofei Wang, Zongji Wang, Feng Lu","doi":"10.1109/ISMAR-Adjunct51615.2020.00052","DOIUrl":"https://doi.org/10.1109/ISMAR-Adjunct51615.2020.00052","url":null,"abstract":"Multimodal interaction is expected to offer better user experience in Augmented Reality (AR), and thus becomes a recent research focus. However, due to the lack of hardware-level support, most existing works only combine two modalities at a time, e.g., gesture and speech. Gaze-based interaction techniques have been explored for the screen-based application, but rarely been used in AR systemsy configurable augmented reality system. In this paper, we propose a multimodal interactive system that integrates gaze, gesture and speech in a flexibly configurable augmented reality system. Our lightweight head-mounted device supports accurate gaze tracking, hand gesture recognition and speech recognition simultaneously. More importantly, the system can be easily configured into different modality combinations to study the effects of different interaction techniques. We evaluated the system in the table lamps scenario, and compared the performance of different interaction techniques. The experimental results show that the Gaze+Gesture+Speech is superior in terms of performance.","PeriodicalId":433361,"journal":{"name":"2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124995816","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: 8

Concept for a Virtual Reality Robot Ground Simulator 虚拟现实机器人地面模拟器的概念

2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) Pub Date : 2020-11-01 DOI: 10.1109/ISMAR-Adjunct51615.2020.00024

Mario Lorenz, Sebastian Knopp, Philipp Klimant, J. Quellmalz, H. Schlegel

引用次数: 1

Real-Time Detection of Simulator Sickness in Virtual Reality Games Based on Players' Psychophysiological Data during Gameplay 基于玩家在游戏过程中的心理生理数据的虚拟现实游戏中模拟器病的实时检测

2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) Pub Date : 2020-10-13 DOI: 10.1109/ISMAR-Adjunct51615.2020.00071

Jialin Wang, Hai-Ning Liang, D. Monteiro, Wenge Xu, Hao Chen, Qiwen Chen

引用次数: 5

Retargetable AR: Context-aware Augmented Reality in Indoor Scenes based on 3D Scene Graph 可重定向AR:基于3D场景图的室内场景环境感知增强现实

2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) Pub Date : 2020-08-18 DOI: 10.1109/ISMAR-Adjunct51615.2020.00072

Tomu Tahara, Takashi Seno, Gaku Narita, T. Ishikawa

{"title":"Retargetable AR: Context-aware Augmented Reality in Indoor Scenes based on 3D Scene Graph","authors":"Tomu Tahara, Takashi Seno, Gaku Narita, T. Ishikawa","doi":"10.1109/ISMAR-Adjunct51615.2020.00072","DOIUrl":"https://doi.org/10.1109/ISMAR-Adjunct51615.2020.00072","url":null,"abstract":"We present Retargetable AR—a novel AR framework that yields an AR experience that is aware of scene contexts set in various real environments, achieving natural interaction between the virtual and real worlds. We characterize scene contexts with relationships among objects in 3D space. A context assumed by an AR content and a context formed by a real environment where users experience AR are represented as abstract graph representations, i.e. scene graphs. From RGB-D streams, our framework generates a volumetric map in which geometric and semantic information of a scene are integrated. Moreover, using the semantic map, we abstract scene objects as oriented bounding boxes and estimate their orientations. Then our framework constructs, in an online fashion, a 3D scene graph characterizing the context of a real environment for AR. The correspondence between the constructed graph and an AR scene graph denoting the context of AR content provides a semantically registered content arrangement, which facilitates natural interaction between the virtual and real worlds. We performed extensive evaluations on our prototype system through quantitative evaluation of the performance of the oriented bounding box estimation, subjective evaluation of the AR content arrangement based on constructed 3D scene graphs, and an online AR demonstration.","PeriodicalId":433361,"journal":{"name":"2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123812119","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: 27

ISMAR 2020 Conference Committee Members ISMAR 2020会议委员会成员

2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) Pub Date : 2018-10-01 DOI: 10.1109/ismar.2018.00011

H. Saito, H. Nagahara

引用次数: 0

ISMAR 2020 Science and Technology Program Committee Members ISMAR 2020科技计划委员会成员

2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) Pub Date : 2018-10-01 DOI: 10.1109/ismar.2018.00012

Shimin Hu, Joseph Gabbard, Jens Grubert, G. Bruder, D. Cheng

引用次数: 0

Title Page iii 第三页标题

2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) Pub Date : 2018-08-01 DOI: 10.1109/itc-asia.2018.00002

引用次数: 0

Message from the Workshop and Tutorial Chairs 来自工作坊和教学主席的信息

2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) Pub Date : 2017-10-27 DOI: 10.1109/ISMAR-ADJUNCT.2017.8

G. Bruder, M. Servieres, M. Sugimoto

引用次数: 0