Augmented reality instructions for construction toys enabled by accurate model registration and realistic object/hand occlusions

被引:0
作者
Wei Yan
机构
[1] Texas A&M University,
来源
Virtual Reality | 2022年 / 26卷
关键词
Augmented reality; Assembly; Instruction; Occlusion; Accuracy;
D O I
暂无
中图分类号
学科分类号
摘要
BRICKxAR is a novel augmented reality (AR) instruction method for construction toys such as LEGO®. With BRICKxAR, physical LEGO construction is guided by virtual bricks. Compared with the state of the art, accuracy of the virtual–physical model alignment is significantly improved through a new design of marker-based registration, which can achieve an average error less than 1 mm throughout the model. Realistic object occlusion is accomplished to reveal the true spatial relationship between physical and virtual bricks. LEGO players’ hand detection and occlusion are realized to visualize the correct spatial relationship between real hands and virtual bricks, and allow virtual bricks to be “grasped” by real hands. The major finding of the research is that the integration of these features makes AR instructions possible for small parts assembly, validated through a working AR prototype for constructing LEGO Arc de Triomphe and quantitative measures of the accuracies of registration and occlusions. In addition, a heuristic evaluation of BRICKxAR’s features has led to findings that the present method could advance AR instructions in terms of enhancing part visibility, match between mental models and visualization, alignment of physical and virtual parts in perspective views and spatial transformations, tangible user interface, consolidated structural diagrams, virtual cutaway views, among other benefits for guiding construction.
引用
收藏
页码:465 / 478
页数:13
相关论文
共 36 条
[1]  
Agrawala M(2003)Designing effective step-by-step assembly instructions ACM Trans Graph (TOG) 22 828-837
[2]  
Phan D(2020)The effectiveness of using augmented reality (AR) on assembling and exploring educational mobile robot in pedagogical virtual machine (PVM) Interact Learn Environ 28 964-990
[3]  
Heiser J(2006)Simultaneous localization and mapping (SLAM): part II IEEE Robot Autom Mag 13 108-117
[4]  
Haymaker J(2019)Augmented reality technology in the manufacturing industry: a review of the last decade IISE Trans 51 284-310
[5]  
Klingner J(2018)An assembly guidance system of tou kung based on augmented reality Proc Caadria 2018 349-358
[6]  
Hanrahan P(2006)Simultaneous localization and mapping: part I IEEE Robot Autom Mag 13 99-110
[7]  
Tversky B(2018)Augmented reality for STEM learning: a systematic review Comput Educ 123 109-123
[8]  
AlNajdi SM(2015)Building blocks for developing spatial skills: evidence from a large, representative US sample Psychol Sci 26 302-310
[9]  
Alrashidi MQ(2008)Evaluation of pictorial assembly instructions for young children Hum Factors 50 652-662
[10]  
Almohamadi KS(2015)Comparative study of skin color detection and segmentation in HSV and YCbCr color space Proc Comput Sci 57 41-48