A vision-based AR registration method utilizing edges and vertices of 3D model

Ryo Hirose, Hideo Saito

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

4 Citations (Scopus)

Abstract

The most important issue in AR (Augmented Reality) is accurate geometric registration between real world and virtual objects. We propose a hybrid registration method utilizing the edges and the vertices of a 3D model of the target object. We estimate camera position and orientation by detecting the vertices and true edges every frames. The influence of the misleading edges is reduced by considering multiple edge candidates and selecting the best one from them. Furthermore the magnetic sensor or a set of the artificial vision markers as a tool to obtain approximate camera position and orientation are also used when the tracking object goes out of the user's view point or the camera movement is too fast to track natural features. By considering multiple edge candidates and utilizing a magnetic sensor or vision markers, the accuracy of registration and the robustness of rapid camera movement can be improved.

Original languageEnglish
Title of host publicationProceedings of the 2005 International Conference on Augmented Tele-Existence, ICAT '05
Pages187-194
Number of pages8
DOIs
Publication statusPublished - 2005 Dec 1
Event2005 International Conference on Augmented Tele-Existence, ICAT '05 - Christchurch, New Zealand
Duration: 2005 Dec 52005 Dec 8

Publication series

NameACM International Conference Proceeding Series
Volume157

Other

Other2005 International Conference on Augmented Tele-Existence, ICAT '05
Country/TerritoryNew Zealand
CityChristchurch
Period05/12/505/12/8

Keywords

  • 3D object model
  • accurate geometric registration
  • augmented reality
  • magnetic 6DOF sensor/vision markers
  • natural features (edges and vertices)

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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