Semi-automatic initial registration for the Iray system: A user study

Tian Xie, Mohammad M. Islam, Alan B. Lumsden, Ioannis A. Kakadiaris

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Simultaneous localization and mapping based augmented reality (AR) is trending in mobile AR applications. With the help of depth sensors, both accuracy and speed have improved. However, the method that performs the initial registration to align virtual objects with real scenery is not well developed, especially for some applications requiring very accurate registration (e.g., systems used in medical applications). For the iRay system, which is a mobile AR system using the Structure Sensor, we propose to use an iterative closest point algorithm to initially register the scanned mesh with the torso surface obtained pre-operatively, and then use SLAM to track pose. In this paper, a semi-automatic initial registration strategy is evaluated by a user study. This strategy is designed to help the user modify the selection of the 3D scanning area, so that the errors introduced by subjective differences can be reduced. The results indicate that the proposed strategy helps the users improve initial registration quality and reduces the average needed time.

Original languageEnglish (US)
Title of host publicationAugmented Reality, Virtual Reality, and Computer Graphics - 4th International Conference, AVR 2017, Proceedings
EditorsLucio Tommaso De Paolis, Antonio Mongelli, Patrick Bourdot
PublisherSpringer-Verlag
Pages33-42
Number of pages10
ISBN (Print)9783319609270
DOIs
StatePublished - 2017
Event4th International Conference on Augmented Reality, Virtual Reality, and Computer Graphics, AVR 2017 - Ugento, Italy
Duration: Jun 12 2017Jun 15 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10325 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Conference on Augmented Reality, Virtual Reality, and Computer Graphics, AVR 2017
CountryItaly
CityUgento
Period6/12/176/15/17

Keywords

  • 3D registration
  • Medical AR
  • Mobile AR
  • User study

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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