Rectangular target extraction for mobile augmented reality applications

Rectangular target extraction for mobile augmented reality applications

We propose a fast and efficient method for localization and rectification of a dominant rectangular region within an image, particularly suitable for mobile Augmented Reality applications. This approach can deal with perspective distortion and high-frequency structures such as text. The resulting im...

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Hauptverfasser: Hartl, A., Reitmayr, G.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Image edge detection
Mobile communication
Mobile handsets
Robustness
Runtime
Target tracking
Visualization
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Reitmayr, G.
description We propose a fast and efficient method for localization and rectification of a dominant rectangular region within an image, particularly suitable for mobile Augmented Reality applications. This approach can deal with perspective distortion and high-frequency structures such as text. The resulting image may be used for planar tracking or as input for subsequent image processing tasks. We demonstrate the feasibility of our approach in an extensive evaluation on off-the-shelf mobile hardware. We show its application in two particular use cases, namely planar tracking and mobile visual search. In both cases significant improvements in performance are achieved by using rectified images of the region of interest.
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Image edge detection
Mobile communication
Mobile handsets
Robustness
Runtime
Target tracking
Visualization
title Rectangular target extraction for mobile augmented reality applications
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