2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)最新文献_第5页

A Virtual Reality Based Simulator for Training Surgical Skills in Procedure of Catheter Ablation 基于虚拟现实的导管消融手术技能训练模拟器

2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) Pub Date : 2018-12-01 DOI: 10.1109/AIVR.2018.00057

Haoyu Wang, Sheng Jiang, Jianhuang Wu

引用次数: 6

Supporting the Sense of Unity between Remote Audiences in VR-Based Remote Live Music Support System KSA2 基于vr的远程现场音乐支持系统KSA2支持远程观众之间的统一性

2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) Pub Date : 2018-12-01 DOI: 10.1109/AIVR.2018.00025

Tatsuyoshi Kaneko, H. Tarumi, Keiya Kataoka, Yuki Kubochi, Daiki Yamashita, Tomoki Nakai, Ryota Yamaguchi

引用次数: 15

A Method to Build Multi-Scene Datasets for CNN for Camera Pose Regression 一种用于摄像机姿态回归的CNN多场景数据集构建方法

2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) Pub Date : 2018-12-01 DOI: 10.1109/AIVR.2018.00022

Yuhao Ma, Hao Guo, Hong Chen, Mengxiao Tian, Xin Huo, Chengjiang Long, Shiye Tang, Xiaoyu Song, Qing Wang

{"title":"A Method to Build Multi-Scene Datasets for CNN for Camera Pose Regression","authors":"Yuhao Ma, Hao Guo, Hong Chen, Mengxiao Tian, Xin Huo, Chengjiang Long, Shiye Tang, Xiaoyu Song, Qing Wang","doi":"10.1109/AIVR.2018.00022","DOIUrl":"https://doi.org/10.1109/AIVR.2018.00022","url":null,"abstract":"Convolutional neural networks (CNN) have shown to be useful for camera pose regression, and They have robust effects against some challenging scenarios such as lighting changes, motion blur, and scenes with lots of textureless surfaces. Additionally, PoseNet shows that the deep learning system can interpolate the camera pose in space between training images. In this paper, we explore how different strategies for processing datasets will affect the pose regression and propose a method for building multi-scene datasets for training such neural networks. We demonstrate that the location of several scenes can be remembered using only one neural network. By combining multiple scenes, we found that the position errors of the neural network do not decrease significantly as the distance between the cameras increases, which means that we do not need to train several models for the increase number of scenes. We also explore the impact factors that influence the accuracy of models for multi-scene camera pose regression, which can help us merge several scenes into one dataset in a better way. We opened our code and datasets to the public for better researches.","PeriodicalId":371868,"journal":{"name":"2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128826178","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: 1

Motorcycle Riding Safety Education with Virtual Reality 基于虚拟现实的摩托车骑行安全教育

2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) Pub Date : 2018-12-01 DOI: 10.1109/AIVR.2018.00050

Chun-Chia Hsu, Y. Chen, Wen Ching Chou, Shih-Hsuan Huang, Kai-Kuo Chang

引用次数: 4

Augmented Reality Simulation of Cardiac Circulation Using APPLearn (Heart) 基于APPLearn的心脏循环增强现实模拟

2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) Pub Date : 2018-12-01 DOI: 10.1109/AIVR.2018.00055

R. Ba, Yiyu Cai, Yunqing Guan

引用次数: 7

IEEE AIVR 2018 Organizing Committee IEEE AIVR 2018组委会

2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) Pub Date : 2018-12-01 DOI: 10.1109/aivr.2018.00007

引用次数: 0

FoodChangeLens: CNN-Based Food Transformation on HoloLens FoodChangeLens:基于cnn的全息透镜食物转换

2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) Pub Date : 2018-12-01 DOI: 10.1109/AIVR.2018.00046

Shu Naritomi, Ryosuke Tanno, Takumi Ege, Keiji Yanai

引用次数: 8

Evaluating the Effects of a Cartoon-Like Character with Emotions on Users' Behaviour within Virtual Reality Environments 在虚拟现实环境中评估带有情感的卡通角色对用户行为的影响

2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) Pub Date : 2018-12-01 DOI: 10.1109/AIVR.2018.00053

D. Monteiro, Hai-Ning Liang, Jialin Wang, Luhan Wang, Xian Wang, Yong Yue

{"title":"Evaluating the Effects of a Cartoon-Like Character with Emotions on Users' Behaviour within Virtual Reality Environments","authors":"D. Monteiro, Hai-Ning Liang, Jialin Wang, Luhan Wang, Xian Wang, Yong Yue","doi":"10.1109/AIVR.2018.00053","DOIUrl":"https://doi.org/10.1109/AIVR.2018.00053","url":null,"abstract":"In this research we explore the effect of a virtual avatar that is non-human like and can express basic distinguishable emotions on users' level of engagement and interest. Virtual reality (VR) environments are able to render realistic representations. However, not all virtual environments require life-like representations of their characters-in our research a 'life-like' human character means that it resembles very closely to an actual person in real life. It is very common for games to use simple non-human characters. Cartoon-like characters can actually have a greater impact on users' affinity towards these games. The aim of this research is to examine if interactions with a cartoon-like character that has the capacity to express simple but common emotional expressions is sufficient to bring forth a change in the behavior and level of engagement of users with the character. This research seeks to find out if adding simple emotions to virtual characters is beneficial to increasing users' interest. To explore these questions, we have conducted a study with a human-like cartoon character in a VR environment that can express simple, basic human emotions based on users' input. The results of our experiment show that a cartoon-like character can benefit from displaying emotional traits or responses when interacting with humans in a VR environment.","PeriodicalId":371868,"journal":{"name":"2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127180165","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: 10

Gesture and Action Discovery for Evaluating Virtual Environments with Semi-Supervised Segmentation of Telemetry Records 遥测记录半监督分割评估虚拟环境的手势和动作发现

2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) Pub Date : 2018-12-01 DOI: 10.1109/AIVR.2018.00009

A. Batch, Kyungjun Lee, H. Maddali, N. Elmqvist

引用次数: 2

Understanding Head-Mounted Display FOV in Maritime Search and Rescue Object Detection 理解头戴式显示器视场在海上搜救目标检测中的应用

2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) Pub Date : 2018-12-01 DOI: 10.1109/AIVR.2018.00023

Susannah Soon, A. Lugmayr, A. Woods, T. Tan

引用次数: 3