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Tracking points using projective reconstruction for augmented reality

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GRAPHITE '05: Proceedings of the 3rd international conference on Computer graphics and interactive techniques in Australasia and South East Asia

Pages 421 - 424

https://doi.org/10.1145/1101389.1101472

Published: 29 November 2005 Publication History

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Abstract

Natural feature tracking is a popular research topic in computer vision and has been used in Augmented Reality (AR) applications. Current natural feature trackers have two major limitations in AR applications. Firstly, the natural features may be lost during the tracking process such that the annotations that are linked to these natural features will also be lost. Secondly, if the virtual objects have to be augmented on regions where there are no distinct natural features that can be tracked, the current natural feature cannot be used directly. This paper proposes a method for points tracking or transferring based on the Kanade-Lucas-Tomasi (KLT) feature tracker and the projective reconstruction technique. The points to be tracked include the lost natural features, and any points that are specified by the users. The proposed method is useful for AR applications, including scene annotation, registration, etc. Some indoor and outdoor experiments have been conducted to validate the performance of the proposed method.

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Cited By

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Santos RCorreia NHolzmann CMayrhofer RHäkkilä JRukzio ERoland M(2015)Building interactive experiences block by blockProceedings of the 14th International Conference on Mobile and Ubiquitous Multimedia10.1145/2836041.2836071(289-301)Online publication date: 30-Nov-2015
https://dl.acm.org/doi/10.1145/2836041.2836071
Chen IMacDonald BWünsche B(2008)Markerless Augmented Reality for Robotic Helicoptor ApplicationsRobot Vision10.1007/978-3-540-78157-8_10(125-138)Online publication date: 2008
https://doi.org/10.1007/978-3-540-78157-8_10

Index Terms

Tracking points using projective reconstruction for augmented reality
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Tracking
      2. Computer vision tasks
        Scene understanding
  2. Computer graphics
    1. Graphics systems and interfaces
      1. Virtual reality
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Mixed / augmented reality
      2. Virtual reality

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Published In

GRAPHITE '05: Proceedings of the 3rd international conference on Computer graphics and interactive techniques in Australasia and South East Asia

November 2005

456 pages

ISBN:1595932011

DOI:10.1145/1101389

Conference Chair:
Geoff Wyvill
University of Otago
,
Program Chairs:
David Arnold
University of Brighton
,
Mark Billinghurst
HIT Lab New Zealand

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Association for Computing Machinery

New York, NY, United States

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Published: 29 November 2005

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GRAPHITE05: International Conference on Computer Graphics and Interactive Techniques in Australasia and South East Asia 2005

November 29 - December 2, 2005

Dunedin, New Zealand

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GRAPHITE '05 Paper Acceptance Rate 38 of 93 submissions, 41%;

Overall Acceptance Rate 124 of 241 submissions, 51%

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Santos RCorreia NHolzmann CMayrhofer RHäkkilä JRukzio ERoland M(2015)Building interactive experiences block by blockProceedings of the 14th International Conference on Mobile and Ubiquitous Multimedia10.1145/2836041.2836071(289-301)Online publication date: 30-Nov-2015
https://dl.acm.org/doi/10.1145/2836041.2836071
Chen IMacDonald BWünsche B(2008)Markerless Augmented Reality for Robotic Helicoptor ApplicationsRobot Vision10.1007/978-3-540-78157-8_10(125-138)Online publication date: 2008
https://doi.org/10.1007/978-3-540-78157-8_10

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Registration Using Natural Features for Augmented Reality Systems

Registration using projective reconstruction for augmented reality systems

An Extended Marker-Based Tracking System for Augmented Reality

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Registration Using Natural Features for Augmented Reality Systems

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