Planar: Accurate and stable 3D positioning system via interactive plane reconstruction for handheld augmented reality

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

Abstract

This paper presents a ray-casting-based three-dimensional (3D) positioning system that interactively reconstructs scene structures for handheld augmented reality. The proposed system employs visual simultaneous localization and mapping (vSLAM) technology to acquire camera poses of a smartphone and sparse 3D feature points in an unknown scene. First, users specify a geometric shape region, such as a plane, in captured images while capturing a scene. This is performed by manually selecting some of the feature points generated by vSLAM in the region. Next, the system computes the shape parameter with the selected feature points so that the scene structure is reconstructed densely. Subsequently, users select the pixel of a target point in the scene at one camera view for 3D positioning. Finally, the system computes the intersection between the 3D ray computed with the selected pixel and the reconstructed scene structure to determine the 3D coordinates of the target point. Owing to the proposed interactive reconstruction, the scene structure can be estimated accurately and stably; therefore, 3D positioning will be accurate. Because the geometric shape used for the scene structure is a plane in this study, our system is referred to as PlanAR. In the evaluation, the performance of our system is compared statistically with an existing 3D positioning system to demonstrate the accuracy and stability of our system.

Original languageEnglish
Title of host publicationVISAPP
EditorsGiovanni Maria Farinella, Petia Radeva, Jose Braz
PublisherSciTePress
Pages783-791
Number of pages9
ISBN (Electronic)9789897584022
Publication statusPublished - Jan 1 2020
Event15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2020 - Valletta, Malta
Duration: Feb 27 2020Feb 29 2020

Publication series

NameVISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Volume5

Conference

Conference15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2020
CountryMalta
CityValletta
Period2/27/202/29/20

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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