Recovering pose and occlusion consistencies in augmented reality systems using affine properties

Recovering pose and occlusion consistencies in augmented reality systems using affine properties Purpose – Augmented environments superimpose computer enhancements on the real world. The pose and occlusion consistencies between virtual and real objects have to be managed correctly, so that users can look at the natural scene. The purpose of this paper is to describe a novel technique that can be used to resolve pose and occlusion consistencies in real time with a unified affine properties‐based framework. Design/methodology/approach – First, the method is simple and can resolve pose and occlusion consistencies in a unified framework based on affine properties. It can improve third dimension of the augmented reality system to a large degree while reducing the computing complexity. Second, the method is robust to arbitrary camera motion and does not require multiple cameras, camera calibration, use of fiducials, or a structural model of the scene to work. Third, a novel feature tracking method is proposed combing narrow and wide baseline strategies to match natural features between reference images and current frame directly. Findings – It is found that the method is still effective even under large changes of viewing angles, while casting off the requirement that the initial camera position should close to the reference images. Originality/value – This paper describes some experiments which have been carried out to demonstrate the validity of the proposed approach. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Sensor Review Emerald Publishing

Recovering pose and occlusion consistencies in augmented reality systems using affine properties

Sensor Review, Volume 30 (2): 11 – Mar 30, 2010

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Publisher
Emerald Publishing
Copyright
Copyright © 2010 Emerald Group Publishing Limited. All rights reserved.
ISSN
0260-2288
DOI
10.1108/02602281011022751
Publisher site
See Article on Publisher Site

Abstract

Purpose – Augmented environments superimpose computer enhancements on the real world. The pose and occlusion consistencies between virtual and real objects have to be managed correctly, so that users can look at the natural scene. The purpose of this paper is to describe a novel technique that can be used to resolve pose and occlusion consistencies in real time with a unified affine properties‐based framework. Design/methodology/approach – First, the method is simple and can resolve pose and occlusion consistencies in a unified framework based on affine properties. It can improve third dimension of the augmented reality system to a large degree while reducing the computing complexity. Second, the method is robust to arbitrary camera motion and does not require multiple cameras, camera calibration, use of fiducials, or a structural model of the scene to work. Third, a novel feature tracking method is proposed combing narrow and wide baseline strategies to match natural features between reference images and current frame directly. Findings – It is found that the method is still effective even under large changes of viewing angles, while casting off the requirement that the initial camera position should close to the reference images. Originality/value – This paper describes some experiments which have been carried out to demonstrate the validity of the proposed approach.

Journal

Sensor ReviewEmerald Publishing

Published: Mar 30, 2010

Keywords: Reality; Computational geometry; Systems software

References

  • Occlusion detection of real objects using contour based stereo matching
    Hayashi, K.; Kato, H.; Nishida, S.
  • Real‐time object tracking for augmented reality combining graph cuts and optical flow
    Mooser, J.; You, S.; Neumann, U.
  • Assembly feature design in an augmented reality environment
    Pang, Y.; Nee, A.Y.C.; Ong, S.K.; Yuan, M.L.; Toumi, Y.
  • Occlusion handling in augmented reality using background‐foreground segmentation and projective geometry
    Wang, H.; Sengupta, K.; Kumar, P.; Sharma, R.

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