Origami Recognition System Using Natural Feature Tracking

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

3 Scopus Citations
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Author(s)

  • Kening Zhu
  • Owen Noel Newton Fernando
  • Adrian David Cheok
  • Mark Fiala
  • Theam Wei Yang

Detail(s)

Original languageEnglish
Title of host publication9th IEEE International Symposium on Mixed and Augmented Reality 2010
Subtitle of host publicationScience & Technology - Proceedings
EditorsTobias Höllerer, Vincent Lepetit, Jun Park
PublisherInstitute of Electrical and Electronics Engineers, Inc.
Pages289-290
ISBN (electronic)9781424493463
ISBN (print)9781424493449, 9781424493432
Publication statusPublished - Oct 2010
Externally publishedYes

Conference

Title9th IEEE International Symposium on Mixed and Augmented Reality (ISMAR 2010)
LocationCOEX/Art Center Nabi
PlaceKorea, Republic of
CitySeoul
Period13 - 16 October 2010

Link(s)

DOI

DOI
Check@CityULib
Link to Scopus https://www.scopus.com/record/display.uri?eid=2-s2.0-78651079790&origin=recordpage
Permanent Link https://scholars.cityu.edu.hk/en/publications/publication(1fa8d680-b81d-453f-a214-0e1adc9454ba).html

Abstract

This paper introduces a system that can recognize different type of paper-folding by users. The system allows users to register and use their desired paper in the interaction, and detect the folding by using Speed Up Robust Feature (SURF) algorithm. The paper also describes a paper-based tower defense game which has been developed as a proof of concept of our method. This method can be considered as the initial step for seamlessly migrating meaningful traditional art of origami into the digital world as a part of the interactive media.

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Publication fingerprints text

100
Recognition System Keyphrases
100
Origami Keyphrases
100
Natural Feature Tra... Keyphrases
100
speed INIS
100
algorithms INIS
100
interactions INIS
100
towers INIS
100
defense INIS
100
User Computer Science
50
Feature Algorithm Keyphrases
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Citation Format(s)

[ RIS ] [ BibTeX ]
Origami Recognition System Using Natural Feature Tracking. / Zhu, Kening; Fernando, Owen Noel Newton; Cheok, Adrian David et al.
9th IEEE International Symposium on Mixed and Augmented Reality 2010: Science & Technology - Proceedings. ed. / Tobias Höllerer; Vincent Lepetit; Jun Park. Institute of Electrical and Electronics Engineers, Inc., 2010. p. 289-290 5643611.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review