2015 IEEE International Symposium on Mixed and Augmented Reality最新文献_第5页

[POSTER] Remote Mixed Reality System Supporting Interactions with Virtualized Objects [海报]支持虚拟对象交互的远程混合现实系统

2015 IEEE International Symposium on Mixed and Augmented Reality Pub Date : 2015-09-29 DOI: 10.1109/ISMAR.2015.22

Peng Yang, I. Kitahara, Y. Ohta

引用次数: 7

[POSTER] Hands-Free AR Work Support System Monitoring Work Progress with Point-cloud Data Processing [海报]免提AR工作支持系统通过点云数据处理监控工作进度

2015 IEEE International Symposium on Mixed and Augmented Reality Pub Date : 2015-09-29 DOI: 10.1109/ISMAR.2015.50

H. Sagawa, H. Nagayoshi, Harumi Kiyomizu, T. Kurihara

引用次数: 5

RGBDX: First Design and Experimental Validation of a Mirror-Based RGBD X-ray Imaging System RGBDX:基于镜的RGBD x射线成像系统的首次设计与实验验证

2015 IEEE International Symposium on Mixed and Augmented Reality Pub Date : 2015-09-29 DOI: 10.1109/ISMAR.2015.17

S. Habert, J. Gardiazabal, P. Fallavollita, Nassir Navab

引用次数: 15

Simultaneous Direct and Augmented View Distortion Calibration of Optical See-Through Head-Mounted Displays 光学透明头戴式显示器的同时直接和增强视图畸变校准

2015 IEEE International Symposium on Mixed and Augmented Reality Pub Date : 2015-09-29 DOI: 10.1109/ISMAR.2015.14

Yuta Itoh, G. Klinker

{"title":"Simultaneous Direct and Augmented View Distortion Calibration of Optical See-Through Head-Mounted Displays","authors":"Yuta Itoh, G. Klinker","doi":"10.1109/ISMAR.2015.14","DOIUrl":"https://doi.org/10.1109/ISMAR.2015.14","url":null,"abstract":"In Augmented Reality (AR) with an Optical See-Through Head-Mounted Display (OST-HMD), the spatial calibration between a user's eye and the display screen is a crucial issue in realizing seamless AR experiences. A successful calibration hinges upon proper modeling of the display system which is conceptually broken down into an eye part and an HMD part. This paper breaks the HMD part down even further to investigate optical aberration issues. The display optics causes two different optical aberrations that degrade the calibration quality: the distortion of incoming light from the physical world, and that of light from the image source of the HMD. While methods exist for correcting either of the two distortions independently, there is, to our knowledge, no method which corrects for both simultaneously. This paper proposes a calibration method that corrects both of the two distortions simultaneously for an arbitrary eye position given an OST-HMD system. We expand a light-field (LF) correction approach [8] originally designed for the former distortion. Our method is camera-based and has an offline learning and an online correction step. We verify our method in exemplary calibrations of two different OST-HMDs: a professional and a consumer OST-HMD. The results show that our method significantly improves the calibration quality compared to a conventional method with the accuracy comparable to 20/50 visual acuity. The results also indicate that only by correcting both the distortions simultaneously can improve the quality.","PeriodicalId":240196,"journal":{"name":"2015 IEEE International Symposium on Mixed and Augmented Reality","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134087704","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: 16

[POSTER] Fusion of Vision and Inertial Sensing for Accurate and Efficient Pose Tracking on Smartphones [海报]融合视觉和惯性传感的智能手机准确有效的姿态跟踪

2015 IEEE International Symposium on Mixed and Augmented Reality Pub Date : 2015-09-29 DOI: 10.1109/ISMAR.2015.23

Xin Yang, Xun Si, Tangli Xue, K. Cheng

{"title":"[POSTER] Fusion of Vision and Inertial Sensing for Accurate and Efficient Pose Tracking on Smartphones","authors":"Xin Yang, Xun Si, Tangli Xue, K. Cheng","doi":"10.1109/ISMAR.2015.23","DOIUrl":"https://doi.org/10.1109/ISMAR.2015.23","url":null,"abstract":"This paper aims at accurate and efficient pose tracking of planar targets on modern smartphones. Existing methods, relying on either visual features or motion sensing based on built-in inertial sensors, are either too computationally expensive to achieve realtime performance on a smartphone, or too noisy to achieve sufficient tracking accuracy. In this paper we present a hybrid tracking method which can achieve real-time performance with high accuracy. Based on the same framework of a state-of-the-art visual feature tracking algorithm [5] which ensures accurate and reliable pose tracking, the proposed hybrid method significantly reduces its computational cost with the assistance of a phone's built-in inertial sensors. However, noises in inertial sensors and abrupt errors in feature tracking due to severe motion blurs could result in instability of the hybrid tracking system. To address this problem, we propose to employ an adaptive Kalman filter with abrupt error detection to robustly fuse the inertial and feature tracking results. We evaluated the proposed method on a dataset consisting of 16 video clips with synchronized inertial sensing data. Experimental results demonstrated our method's superior performance and accuracy on smartphones compared to a state-of-the-art vision tracking method [5]. The dataset will be made publicly available with the publication of this paper.","PeriodicalId":240196,"journal":{"name":"2015 IEEE International Symposium on Mixed and Augmented Reality","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133326587","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

[POSTER] A Particle Filter Approach to Outdoor Localization Using Image-Based Rendering 基于图像渲染的室外定位粒子滤波方法

2015 IEEE International Symposium on Mixed and Augmented Reality Pub Date : 2015-09-29 DOI: 10.1109/ISMAR.2015.39

Christian Poglitsch, Clemens Arth, D. Schmalstieg, Jonathan Ventura

引用次数: 3

[POSTER] Interactive Visualizations for Monoscopic Eyewear to Assist in Manually Orienting Objects in 3D [海报]单镜眼镜的交互式可视化，以帮助在3D中手动定位物体

2015 IEEE International Symposium on Mixed and Augmented Reality Pub Date : 2015-09-29 DOI: 10.1109/ISMAR.2015.54

Carmine Elvezio, Mengu Sukan, Steven K. Feiner, B. Tversky

引用次数: 7

[POSTER] Toward Enhancing Robustness of DR System: Ranking Model for Background Inpainting [POSTER]增强DR系统鲁棒性的研究:背景绘制排序模型

2015 IEEE International Symposium on Mixed and Augmented Reality Pub Date : 2015-09-29 DOI: 10.1109/ISMAR.2015.53

Mariko Isogawa, Dan Mikami, Kosuke Takahashi, Akira Kojima

引用次数: 1

[POSTER] Design Guidelines for Generating Augmented Reality Instructions [海报]生成增强现实指令的设计指南

2015 IEEE International Symposium on Mixed and Augmented Reality Pub Date : 2015-09-29 DOI: 10.1109/ISMAR.2015.36

Cledja Rolim, D. Schmalstieg, Denis Kalkofen, V. Teichrieb

引用次数: 10

[POSTER] Overlaying Navigation Signs on a Road Surface Using a Head-Up Display [海报]使用平视显示器在路面上叠加导航标志

2015 IEEE International Symposium on Mixed and Augmented Reality Pub Date : 2015-09-29 DOI: 10.1109/ISMAR.2015.48

Kaho Ueno, T. Komuro

引用次数: 3