Enhanced Geometric Techniques for Point Marking in Model-Free Augmented Reality

被引：0

作者：

Lages, Wallace S. ^{[1
]}

Li, Yuan ^{[1
]}

Lisle, Lee ^{[1
]}

Lu, Feiyu ^{[1
]}

Hollerer, Tobias ^{[2
]}

Bowman, Doug A. ^{[1
]}

机构：

[1] Virginia Tech, Ctr Human Comp Interact, Blacksburg, VA 24061 USA

[2] Univ Calif Santa Barbara, Comp Sci, Santa Barbara, CA 93106 USA

来源：

2019 26TH IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES (VR) | 2019年

关键词：

Human-centered computing-Mixed / augmented reality; Human-centered computing-Pointing; Human-centered computing-User interface design;

D O I：

10.1109/ismar.2019.00028

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Specifying points in three-dimensional space is essential in AR applications. Geometric triangulation is a straightforward way to specify points, but its naive implementation has low precision. We designed two enhanced geometric techniques for 3D point marking: VectorCloud, which uses multiple rays to reduce jittering, and ImageRefinement, which allows 3D ray refinement to improve precision. Our experiments, conducted in both simulated and real AR, demonstrate that both techniques improve the precision of 3D point marking, and that ImageRefinement is superior to VectorCloud overall. These results are particularly relevant in the design of mobile AR systems for large outdoor areas.

引用

页码：1036 / 1037

页数：2

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