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Fully automated texture tracking based on natural features extraction and template matching

Published: 15 June 2005 Publication History

Abstract

In this work we propose a novel approach to real-time texture tracking and registration, based on natural feature extraction from planar objects and template matching, Our method is oriented to planar objects with arbitrary textures but with rectangular topologies and well contrasted contours and does not require any external fiducial marker, either for the set-up or the tracking phases. Once the initial pose condition is obtained, previous planar object information is used to compute subsequent planar object's pose, so that the time coherence of the input video stream is exploited. Our system is completely automated and produces real-time efficient tracking which can be applied to entertainment AR applications and other. The paper discusses also the novelty of the approach, in relation to other existing texture tracking algorithms.

References

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Caudell, T. P. and Mizell, D. W., "Augmented Reality: An Application of Head-Up Display Technology to Manual Manufacturing Processes," in Proceedings IEEE Hawaii International Conference on Systems Sciences, 1992, Kauai, HI, IEEE, 0073-1129-1/92, pp. 659--669. January 1992.
[2]
http://www.hitl.washington.edu/artoolkit/
[3]
Kato, Hirokazu, Tachibana, K., Billinghurst, M., Grafe, M., "A Registration Method based on Texture Tracking using ARToolKit", in The Second IEEE International Augmented Reality Toolkit Workshop, Nishi-Waseda Campus, Waseda University, Tokyo, Japan, 7th October 2003.
[4]
G. Simon, A. Fitzgibbon and A. Zisserman, "Markerless Tracking using Planar Structures in the Scene", inISMAR' 00Conference Proceeding, 2000.
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R. Sittisak, R. Yuttapong, "Adaptive Thre sholding of Document Images Based on Laplacian Sign", International Conference on Information Technology: Coding and Computing, 2001.
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D. Nistér. "An Efficient Solution to the Five-Point Relative Pose Problem", IEEE Conference on Computer Vision and Pattern Recognition, Volume 2, pp. 195--202, 2003.
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Charles B. Owen, Fan Xiao, and Paul Middlin, "What is the best fiducial", in The First IEEE International Augmented Reality Toolkit Workshop, September 29, Darmstadt, Germany, 2002.
[8]
http://sourceforge.net/projects/opencvlibrary/
[9]
Comport, A. L., Marchand, E., Chaumette, F., A realtime tracker for markerless augmented reality, IRISA - INRIA Rennes, France, in The Third IEEE and ACM International Symposium on Mixed and Augmented Reality (ISMAR'03), Tokyo, Japan, Oct. 7 - Oct. 10, 2003.

Cited By

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  • (2024)Tracking Techniques in Augmented Reality for Handheld InterfacesEncyclopedia of Computer Graphics and Games10.1007/978-3-031-23161-2_364(1894-1903)Online publication date: 5-Jan-2024
  • (2023)Natural Feature Tracking Algorithm in Augmented Reality Recognition of Asmaul Husna2023 9th International Conference on Wireless and Telematics (ICWT)10.1109/ICWT58823.2023.10335473(1-6)Online publication date: 6-Jul-2023
  • (2019)Tracking Techniques in Augmented Reality for Handheld InterfacesEncyclopedia of Computer Graphics and Games10.1007/978-3-319-08234-9_364-1(1-10)Online publication date: 22-Apr-2019
  • Show More Cited By

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cover image ACM Other conferences
ACE '05: Proceedings of the 2005 ACM SIGCHI International Conference on Advances in computer entertainment technology
June 2005
511 pages
ISBN:1595931104
DOI:10.1145/1178477
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 June 2005

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Author Tags

  1. augmented reality
  2. template matching
  3. texture reconstruction
  4. texture tracking

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ACE05

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Overall Acceptance Rate 36 of 90 submissions, 40%

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Cited By

View all
  • (2024)Tracking Techniques in Augmented Reality for Handheld InterfacesEncyclopedia of Computer Graphics and Games10.1007/978-3-031-23161-2_364(1894-1903)Online publication date: 5-Jan-2024
  • (2023)Natural Feature Tracking Algorithm in Augmented Reality Recognition of Asmaul Husna2023 9th International Conference on Wireless and Telematics (ICWT)10.1109/ICWT58823.2023.10335473(1-6)Online publication date: 6-Jul-2023
  • (2019)Tracking Techniques in Augmented Reality for Handheld InterfacesEncyclopedia of Computer Graphics and Games10.1007/978-3-319-08234-9_364-1(1-10)Online publication date: 22-Apr-2019
  • (2017)Research on particle filter tracking algorithm based on multi-feature covariance matrix2017 3rd International Conference on Control, Automation and Robotics (ICCAR)10.1109/ICCAR.2017.7942798(753-757)Online publication date: Apr-2017
  • (2009)Skin Color Profile Capture for Scale and Rotation Invariant Hand Gesture RecognitionGesture-Based Human-Computer Interaction and Simulation10.1007/978-3-540-92865-2_8(81-92)Online publication date: 14-Jan-2009

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