SenseShapes:在多模态增强现实中使用统计几何进行对象选择

The Second IEEE and ACM International Symposium on Mixed and Augmented Reality, 2003. Proceedings. Pub Date : 2003-10-07 DOI:10.1109/ISMAR.2003.1240730

A. Olwal, Hrvoje Benko, Steven K. Feiner

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引用次数: 87

摘要

我们介绍了一套统计几何工具，旨在识别在多模态增强现实系统中通过语音和手势操纵的对象。SenseShapes是感兴趣的体积区域，可以连接到用户身体的某些部位，以提供有关用户与对象交互的有价值的信息。为了帮助选择对象，我们生成一组丰富的统计数据，并根据当前情况动态选择要考虑的数据。

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SenseShapes: using statistical geometry for object selection in a multimodal augmented reality

We introduce a set of statistical geometric tools designed to identify the objects being manipulated through speech and gesture in a multimodal augmented reality system. SenseShapes are volumetric regions of interest that can be attached to parts of the user's body to provide valuable information about the user's interaction with objects. To assist in object selection, we generate a rich set of statistical data and dynamically choose which data to consider based on the current situation.

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The Second IEEE and ACM International Symposium on Mixed and Augmented Reality, 2003. Proceedings.

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