@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.}
}