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  A Step Closer To Reality: Closed Loop Dynamic Registration Correction in SAR

Naik, H., Tombari, F., Resch, C., Keitler, P., & Navab, N. (2015). A Step Closer To Reality: Closed Loop Dynamic Registration Correction in SAR. In C. {Sandor, R. Lindeman, W. Mayol-Cuevas, N. Sakata, R. Newcombe, & V. Teichrieb (Eds.), 2015 IEEE INTERNATIONAL SYMPOSIUM ON MIXED AND AUGMENTED REALITY (pp. 112-115).

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 Creators:
Naik, Hemal1, Author              
Tombari, Federico, Author
Resch, Christoph, Author
Keitler, Peter, Author
Navab, Nassir, Author
Affiliations:
1External Organizations, ou_persistent22              

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 Abstract: In Spatial Augmented Reality (SAR) applications, real world objects are augmented with virtual content by means of a calibrated camera-projector system. A computer generated model (CAD) of the real object is used to plan the positions where the virtual content is to be projected. It is often the case that the real object deviates from its CAD model, this resulting in misregistered augmentations. We propose a new method to dynamically correct the planned augmentation by accommodating for the unknown deviations in the object geometry. We use a closed loop approach where the projected features are detected in the camera image and deployed as feedback. As a result, the registration misalignment is identified and the augmentations are corrected in the areas affected by the deviation. Our work is especially focused on SAR applications related to the industrial domain, where this problem is omnipresent. We show that our method is effective and beneficial for multiple industrial applications.

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 Dates: 2015
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1109/ISMAR.2015.34
BibTex Citekey: ISI:000380611200024
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Title: 2015 IEEE INTERNATIONAL SYMPOSIUM ON MIXED AND AUGMENTED REALITY
Source Genre: Proceedings
 Creator(s):
{Sandor, C, Editor
Lindeman, R, Editor
Mayol-Cuevas, W, Editor
Sakata, N, Editor
Newcombe, R, Editor
Teichrieb, V}, Editor
Affiliations:
-
Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 112 - 115 Identifier: ISBN: 978-1-4673-7660-0