by Endre Juhasz, Attila Tanacs, Zoltan Kato
Abstract:
Wide-baseline stereo matching is a common problem of computer vision. By the explosion of smartphones equipped with camera modules, many classical computer vision solutions have been adapted to such platforms. Considering the widespread use of various networking options for mobile phones, one can consider a set of smart phones as an ad-hoc camera network, where each camera is equipped with a more and more powerful computing engine in addition to a limited bandwidth communication with other devices. Therefore the performance of classical vision algorithms in a collaborative mobile environment is of particular interest. In such a scenario we expect that the images are taken almost simultaneously but from different viewpoints, implying that the camera poses are significantly different but lighting conditions are the same. In this work, we provide quantitative comparison of the most important keypoint detectors and descriptors in the context of wide baseline stereo matching. We found that for resolution of 2 megapixels images the current mobile hardware is capable of providing results efficiently.
Reference:
Endre Juhasz, Attila Tanacs, Zoltan Kato, Evaluation of Point Matching Methods for Wide-baseline Stereo Correspondence on Mobile Platforms, In Proceedings of International Symposium on Image and Signal Processing and Analysis (Giovanni Ramponi, Sven Loncaric, Alberto Carini, Karen Egiazarian, eds.), Trieste, Italy, pp. 806-811, 2013. (ISBN 978-953-184-187-0)
Bibtex Entry:
@string{ispa="Proceedings of International Symposium on Image and Signal Processing and Analysis"}
@INPROCEEDINGS{Juhasz-etal2013,
author = {Endre Juhasz and Attila Tanacs and Zoltan Kato},
title = {Evaluation of Point Matching Methods for Wide-baseline Stereo Correspondence
on Mobile Platforms},
booktitle = ispa,
year = {2013},
editor = {Giovanni Ramponi and Sven Loncaric and Alberto Carini and Karen Egiazarian},
pages = {806--811},
address = {Trieste, Italy},
month = sep,
note = {ISBN 978-953-184-187-0},
abstract = {Wide-baseline stereo matching is a common problem of computer vision.
By the explosion of smartphones equipped with camera modules, many
classical computer vision solutions have been adapted to such platforms.
Considering the widespread use of various networking options for
mobile phones, one can consider a set of smart phones as an ad-hoc
camera network, where each camera is equipped with a more and more
powerful computing engine in addition to a limited bandwidth communication
with other devices. Therefore the performance of classical vision
algorithms in a collaborative mobile environment is of particular
interest. In such a scenario we expect that the images are taken
almost simultaneously but from different viewpoints, implying that
the camera poses are significantly different but lighting conditions
are the same. In this work, we provide quantitative comparison of
the most important keypoint detectors and descriptors in the context
of wide baseline stereo matching. We found that for resolution of
2 megapixels images the current mobile hardware is capable of providing
results efficiently.}
}