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Editor's Introduction

机译:编辑介绍

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The IEEE Virtual Reality (VR) Conference is the leading forum for the dissemination of cutting-edge strike technical advances in VR. This special issue features significantly expanded versions of five of the best papers from the IEEE VR 2008 proceedings. We would like to express our sincere gratitude to the anonymous reviewers, who have diligently assisted us in attaining the highest quality for this special issue. One of the key enabling technologies for augmented and virtual reality (AR and VR) is user tracking. The first paper, "Advanced tracking through efficient image processing and visual-inertial sensor fusion" by Gabriele Bleser and Didier Stricker, presents a new visual-inertial tracking device for AR and VR. There are two fundamental issues for designing such systems. The first one is regarding the definition and modeling of the sensor fusion problem. Although much work has been proposed to address this issue and several models for exploiting gyroscopes and linear accelerometers have been suggested, the respective advantages of each model are still unclear. This paper provides a comparison of different models with special investigation of the effects of using accelerometers on the tracking performance.
机译:IEEE虚拟现实(VR)大会是传播VR前沿技术进步的领先论坛。本期特刊以IEEE VR 2008会议论文集的五篇最佳论文的显着扩展版本为特色。我们要对匿名审稿人表示衷心的感谢,他们竭诚协助我们在本期特刊上获得了最高的质量。用户跟踪是增强和虚拟现实(AR和VR)的关键支持技术之一。 Gabriele Bleser和Didier Stricker撰写的第一篇论文“通过有效的图像处理和视觉惯性传感器融合进行高级跟踪”提出了一种用于AR和VR的新型视觉惯性跟踪设备。设计这样的系统有两个基本问题。第一个是关于传感器融合问题的定义和建模。尽管已经提出了很多工作来解决这个问题,并且已经提出了几种利用陀螺仪和线性加速度计的模型,但是每种模型的各自优势仍然不清楚。本文提供了不同模型的比较,并特别研究了使用加速度计对跟踪性能的影响。

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