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2008 7th IEEE/ACM International Symposium on Mixed and Augmented Reality最新文献

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Robust and unobtrusive marker tracking on mobile phones 在移动电话上进行稳健且不显眼的标记跟踪
Pub Date : 2008-09-15 DOI: 10.1109/ISMAR.2008.4637337
Daniel Wagner, T. Langlotz, D. Schmalstieg
Marker tracking has revolutionized augmented reality about a decade ago. However, this revolution came at the expense of visual clutter. In this paper, we propose several new marker techniques, which are less obtrusive than the usual black and white squares. Furthermore, we report methods that allow tracking beyond the visibility of these markers further improving robustness. All presented techniques are implemented in a single tracking library, are highly efficient in their memory and CPU usage and run at interactive frame rates on mobile phones.
大约十年前,标记追踪技术已经彻底改变了增强现实技术。然而,这场革命是以视觉混乱为代价的。在本文中,我们提出了几种新的标记技术,它们比通常的黑白方块不那么突兀。此外,我们报告的方法,允许跟踪超越这些标记的可见性进一步提高鲁棒性。所有提出的技术都是在一个单一的跟踪库中实现的,在内存和CPU使用方面效率很高,并且在移动电话上以交互式帧速率运行。
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引用次数: 155
Generating perceptually-correct shadows for mixed reality 为混合现实生成感知正确的阴影
Pub Date : 2008-09-15 DOI: 10.1109/ISMAR.2008.4637352
Gaku Nakano, I. Kitahara, Y. Ohta
When human cannot perceive the inconsistency of artificial shadows which are not physically correct, they are acceptable as ldquoperceptually-correctrdquo shadows. This paper focuses on the simplification of light-source models for generating the perceptually-correct artificial shadows. First, we conducted subjective evaluations to obtain knowledge about the human perception of the shadows. Then the knowledge was applied to control the resolution of the light-source map to generate perceptually-correct artificial shadows. Comparative studies among artificial and real shadows justified perceptually correctness. All experiments were done using still images, not videos. Our research becomes a reference to determine the resolution of light-source map in an MR scene.
当人类无法感知到物理上不正确的人工阴影的不一致性时,它们可以被接受为非感知正确的阴影。本文的重点是简化光源模型,以产生感知正确的人工阴影。首先,我们进行了主观评价,以获得关于人类对阴影感知的知识。然后应用这些知识来控制光源图的分辨率,以产生感知正确的人工阴影。对人工阴影和真实阴影的比较研究证明了感知上的正确性。所有的实验都是用静态图像完成的,而不是视频。本文的研究为MR场景中光源图分辨率的确定提供了参考。
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引用次数: 17
Dynamic gyroscope fusion in Ubiquitous Tracking environments 泛在跟踪环境下的动态陀螺仪融合
Pub Date : 2008-09-15 DOI: 10.1109/ISMAR.2008.4637317
D. Pustka, G. Klinker
Ubiquitous tracking (Ubitrack) setups, consisting of many previously unknown sensors, offer many possibilities to perform sensor fusion in order to increase robustness and accuracy. In particular, the dynamic combination of mobile and stationary trackers enables the creation of new wide-area tracking concepts. In this work, we present a setup in which a gyroscope is dynamically fused with three different mobile and stationary sensors, based on the concepts of spatial relationship graphs (SRGs) and patterns. For this, we contribute new patterns that, based on well-known algorithms, enable the transformation of rotation velocity and the fusion with different absolute trackers. The usefulness of the approach is shown in a system that automatically reconfigures the SRG based on course tracking data, and, depending on the structure of this SRG, automatically selects a suitable fusion algorithm.
无处不在的跟踪(Ubitrack)设置由许多以前未知的传感器组成,为执行传感器融合提供了许多可能性,以提高鲁棒性和准确性。特别是,移动和固定跟踪器的动态组合使创建新的广域跟踪概念成为可能。在这项工作中,我们提出了一种基于空间关系图(srg)和模式的概念,将陀螺仪与三种不同的移动和固定传感器动态融合的设置。为此,我们提出了基于已知算法的新模式,实现了旋转速度的变换和与不同绝对跟踪器的融合。该方法的实用性体现在一个系统中,该系统根据航向跟踪数据自动重新配置SRG,并根据SRG的结构自动选择合适的融合算法。
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引用次数: 20
ComposAR: An intuitive tool for authoring AR applications ComposAR:一个用于创作AR应用程序的直观工具
Pub Date : 2008-09-15 DOI: 10.1109/ISMAR.2008.4637354
H. Seichter, J. Looser, M. Billinghurst
This paper introduces ComposAR, a tool to allow a wide audience to author AR and MR applications. It is unique in that it supports both visual programming and interpretive scripting, and an immediate mode for runtime testing. ComposAR is written in Python which means the user interface and runtime behavior can be easily customized and third-party modules can be incorporated into the authoring environment. We describe the design philosophy and the resulting user interface, lessons learned and directions for future research.
本文介绍了ComposAR,这是一个允许广泛受众编写AR和MR应用程序的工具。它的独特之处在于它支持可视化编程和解释性脚本,以及运行时测试的直接模式。ComposAR是用Python编写的,这意味着可以很容易地定制用户界面和运行时行为,并且可以将第三方模块纳入创作环境。我们描述了设计理念和由此产生的用户界面、经验教训和未来研究的方向。
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引用次数: 93
Tutorials and workshop 教程和工作坊
Pub Date : 1900-01-01 DOI: 10.1109/coase.2008.4626403
G. Thomas
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引用次数: 0
期刊
2008 7th IEEE/ACM International Symposium on Mixed and Augmented Reality
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