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A Point Cloud-Based Method for Object Alignment Verification for Augmented Reality Applications

[+] Author Affiliations
Rafael Radkowski

Iowa State University, Ames, IA

Paper No. DETC2015-47842, pp. V01BT02A059; 10 pages
  • ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 1B: 35th Computers and Information in Engineering Conference
  • Boston, Massachusetts, USA, August 2–5, 2015
  • Conference Sponsors: Design Engineering Division, Computers and Information in Engineering Division
  • ISBN: 978-0-7918-5705-2
  • Copyright © 2015 by ASME


The paper introduces a method for an augmented reality (AR) assembly assistance application that allows one to quantify the alignment of two parts. Point cloud-based tracking is one method to recognize and to track physical parts. However, the correct fitting of two parts cannot be determined with high fidelity from point cloud tracking data due to occlusion and other challenges. A Maximum Likelihood Estimate (MLE) of an error model is suggested to quantify the probability that two parts are correctly aligned. An initial solution was investigated. The results of an offline-simulation with point cloud data are promising and indicate the efficacy of the suggested method.

Copyright © 2015 by ASME



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