CRS4

Fast Metric Acquisition with Mobile Devices

Valeria Garro, Giovanni Pintore, Fabio Ganovelli, Enrico Gobbetti, Roberto Scopigno
Proc. 21st International Workshop on Vision, Modeling and Visualization (VMV), page 29--36 - october 2016
Download the publication : vmv2016-mobile_metric.pdf [2.3Mo]  
We present a novel algorithm for fast metric reconstruction on mobile devices using a combination of image and inertial acceleration data. In contrast to previous approaches to this problem, our algorithm does not require a long acquisition time or intensive data processing and can be implemented entirely on common IMU-enabled tablet and smartphones. The method recovers real world units by comparing the acceleration values from the inertial sensors with the ones inferred from images. In order to cope with IMU signal noise, we propose a novel RANSAC-like strategy which helps to remove the outliers. We demonstrate the effectiveness and the accuracy of our method through an integrated mobile system returning point clouds in metric scale.

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BibTex references

@InProceedings{GPGGS16,
  author       = {Garro, V. and Pintore, G. and Ganovelli, F. and Gobbetti, E. and Scopigno, R.},
  title        = {Fast Metric Acquisition with Mobile Devices},
  booktitle    = {Proc. 21st International Workshop on Vision, Modeling and Visualization (VMV)},
  pages        = {29--36},
  month        = {october},
  year         = {2016},
  keywords     = {fast metric reconstruction, mobile devices, image data, IMU data},
  doi          = {10.2312/vmv.20161339},
  url          = {http://publications.crs4.it/pubdocs/2016/GPGGS16},
}

Other publications in the database

» Valeria Garro
» Giovanni Pintore
» Fabio Ganovelli
» Enrico Gobbetti
» Roberto Scopigno