2006 IEEE/ACM International Symposium on Mixed and Augmented Reality最新文献_第4页

Visualization of sensor data using mobile phone augmented reality 利用手机增强现实实现传感器数据的可视化

2006 IEEE/ACM International Symposium on Mixed and Augmented Reality Pub Date : 2006-10-22 DOI: 10.1109/ISMAR.2006.297820

Ann-Sofie Gunnarsson, Malinda Rauhala, Anders Henrysson, A. Ynnerman

引用次数: 12

Mobile augmented reality interaction techniques for authoring situated media on-site 移动增强现实交互技术，用于创作现场媒体

2006 IEEE/ACM International Symposium on Mixed and Augmented Reality Pub Date : 2006-10-22 DOI: 10.1109/ISMAR.2006.297821

Sinem Güven, Steven K. Feiner, Ohan Oda

引用次数: 60

Mixed reality pre-visualization and camera-work authoring in filmmaking 电影制作中的混合现实预可视化和摄影作品创作

2006 IEEE/ACM International Symposium on Mixed and Augmented Reality Pub Date : 2006-10-22 DOI: 10.1109/ISMAR.2006.297823

Ryosuke Ichikari, Keisuke Kawano, Asako Kimura, F. Shibata, H. Tamura

引用次数: 18

Photometric inconsistency on a mixed-reality face 混合现实人脸的光度不一致性

2006 IEEE/ACM International Symposium on Mixed and Augmented Reality Pub Date : 2006-10-22 DOI: 10.1109/ISMAR.2006.297804

Masayuki Takemura, I. Kitahara, Y. Ohta

引用次数: 5

Support system for guitar playing using augmented reality display 使用增强现实显示器的吉他演奏支持系统

2006 IEEE/ACM International Symposium on Mixed and Augmented Reality Pub Date : 2006-10-22 DOI: 10.1109/ISMAR.2006.297825

Y. Motokawa, H. Saito

引用次数: 77

Enhanced visual realism by incorporating camera image effects 通过结合相机图像效果增强视觉真实感

2006 IEEE/ACM International Symposium on Mixed and Augmented Reality Pub Date : 2006-10-22 DOI: 10.1109/ISMAR.2006.297815

J. Fischer, D. Bartz, W. Straßer

{"title":"Enhanced visual realism by incorporating camera image effects","authors":"J. Fischer, D. Bartz, W. Straßer","doi":"10.1109/ISMAR.2006.297815","DOIUrl":"https://doi.org/10.1109/ISMAR.2006.297815","url":null,"abstract":"In video see-through augmented reality (AR), virtual objects are overlaid over digital video images. One particular problem of this image mixing process is that the visual appearance of the computer graphics differs strongly from the real background image. The reason for this is that typical AR systems use fast but simple real-time rendering techniques for displaying virtual objects. In this paper, methods for reducing the impact of three effects which make virtual and real objects easily distinguishable are presented. The first effect is camera image noise, which is contained in the data delivered by the image sensor used for capturing the real scene. The second effect considered is edge aliasing, which makes distinguishing virtual objects from real objects simple. Finally, we consider motion blur, which is caused by the temporal integration of color intensities in the image sensor during fast movements of the camera or observed objects. In this paper, we present a system for generating a realistic simulation of image noise based on a new camera calibration step. Additionally, a rendering algorithm is introduced, which performs a smooth blending between the camera image and virtual objects at their boundary in order to reduce aliasing. Lastly, a rendering method is presented, which produces motion blur according to the current camera movement. The implementation of the new rendering techniques utilizes the programmability of modern graphics processing units (GPUs) and delivers real-time frame rates.","PeriodicalId":332844,"journal":{"name":"2006 IEEE/ACM International Symposium on Mixed and Augmented Reality","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125403452","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: 24

Automatic online walls detection for immediate use in AR tasks 自动在线墙壁检测立即在AR任务中使用

2006 IEEE/ACM International Symposium on Mixed and Augmented Reality Pub Date : 2006-10-22 DOI: 10.1109/ISMAR.2006.297792

Gilles Simon

引用次数: 21

Predicting and estimating the accuracy of n-occular optical tracking systems n-光学跟踪系统的精度预测与估计

2006 IEEE/ACM International Symposium on Mixed and Augmented Reality Pub Date : 2006-10-22 DOI: 10.1109/ISMAR.2006.297793

M. Bauer, M. Schlegel, D. Pustka, Nassir Navab, G. Klinker

引用次数: 33

Online camera pose estimation in partially known and dynamic scenes 部分已知和动态场景下的在线相机姿态估计

2006 IEEE/ACM International Symposium on Mixed and Augmented Reality Pub Date : 2006-10-22 DOI: 10.1109/ISMAR.2006.297795

G. Bleser, H. Wuest, D. Stricker

{"title":"Online camera pose estimation in partially known and dynamic scenes","authors":"G. Bleser, H. Wuest, D. Stricker","doi":"10.1109/ISMAR.2006.297795","DOIUrl":"https://doi.org/10.1109/ISMAR.2006.297795","url":null,"abstract":"One of the key requirements of augmented reality systems is a robust real-time camera pose estimation. In this paper we present a robust approach, which does neither depend on offline pre-processing steps nor on pre-knowledge of the entire target scene. The connection between the real and the virtual world is made by a given CAD model of one object in the scene. However, the model is only needed for initialization. A line model is created out of the object rendered from a given camera pose and registrated onto the image gradient for finding the initial pose. In the tracking phase, the camera is not restricted to the modeled part of the scene anymore. The scene structure is recovered automatically during tracking. Point features are detected in the images and tracked from frame to frame using a brightness invariant template matching algorithm. Several template patches are extracted from different levels of an image pyramid and are used to make the 2D feature tracking capable for large changes in scale. Occlusion is detected already on the 2D feature tracking level. The features' 3D locations are roughly initialized by linear triangulation and then refined recursively over time using techniques of the Extended Kalman Filter framework. A quality manager handles the influence of a feature on the estimation of the camera pose. As structure and pose recovery are always performed under uncertainty, statistical methods for estimating and propagating uncertainty have been incorporated consequently into both processes. Finally, validation results on synthetic as well as on real video sequences are presented.","PeriodicalId":332844,"journal":{"name":"2006 IEEE/ACM International Symposium on Mixed and Augmented Reality","volume":"663 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115833187","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: 131

Visualizing and navigating complex situated hypermedia in augmented and virtual reality 增强现实和虚拟现实中复杂超媒体的可视化和导航

2006 IEEE/ACM International Symposium on Mixed and Augmented Reality Pub Date : 2006-10-22 DOI: 10.1109/ISMAR.2006.297807

Sinem Güven, Steven K. Feiner

引用次数: 19