On-line document registering and retrieving system for AR annotation overlay

Hideaki Uchiyama, Julien Pilet, Hideo Saito

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

3 Citations (Scopus)

Abstract

We propose a system that registers and retrieves text documents to annotate them on-line. The user registers a text document captured from a nearly top view and adds virtual annotations. When the user thereafter captures the document again, the system retrieves and displays the appropriate annotations, in real-time and at the correct location. Registering and deleting documents is done by user interaction. Our approach relies on LLAH, a hashing based method for document image retrieval. At the on-line registering stage, our system extracts keypoints from the input image and stores their descriptors computed from their neighbors. After registration, our system can quickly find the stored document corresponding to an input view by matching keypoints. From the matches, our system estimates the geometrical relationship between the camera and the document for accurately overlaying the annotations. In the experimental results, we show that our system can achieve on-line and real-time performances.

Original languageEnglish
Title of host publicationProceedings of the 1st Augmented Human International Conference, AH '10
DOIs
Publication statusPublished - 2010 Jul 16
Event1st Augmented Human International Conference, AH'10 - Megeve, France
Duration: 2010 Apr 22010 Apr 3

Publication series

NameACM International Conference Proceeding Series

Other

Other1st Augmented Human International Conference, AH'10
CountryFrance
CityMegeve
Period10/4/210/4/3

Keywords

  • LLAH
  • Poes estimation
  • augmented reality
  • document retrieval
  • feature matching

ASJC Scopus subject areas

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

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  • Cite this

    Uchiyama, H., Pilet, J., & Saito, H. (2010). On-line document registering and retrieving system for AR annotation overlay. In Proceedings of the 1st Augmented Human International Conference, AH '10 [1785478] (ACM International Conference Proceeding Series). https://doi.org/10.1145/1785455.1785478