虚拟到物理表面对齐和细化技术手写,素描,和选择在XR

Florian Kern, Jonathan Tschanter, Marc Erich Latoschik
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引用次数: 0

摘要

虚拟表面与物理表面的对齐对于改进XR中的符号输入和选择至关重要。以前为提高效率而优化的技术可能会导致不准确。我们研究了基于回归的细化技术,并介绍了一种表面精度评价方法。结果表明,改进技术可以极大地提高表面精度,并且精度取决于手势形状和表面尺寸。我们的参考实现和数据集是公开的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Virtual-to-Physical Surface Alignment and Refinement Techniques for Handwriting, Sketching, and Selection in XR
The alignment of virtual to physical surfaces is essential to improve symbolic input and selection in XR. Previous techniques optimized for efficiency can lead to inaccuracies. We investigate regression-based refinement techniques and introduce a surface accuracy eval-uation. The results revealed that refinement techniques can highly improve surface accuracy and show that accuracy depends on the gesture shape and surface dimension. Our reference implementation and dataset are publicly available.
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