01889nas a2200193 4500008004100000245010100041210006900142260002800211300001400239520116200253100001901415700001901434700001701453700002201470700002101492700002001513700002201533856014001555 2013 eng d00aEvaluation of Point Matching Methods for Wide-baseline Stereo Correspondence on Mobile Platforms0 aEvaluation of Point Matching Methods for Widebaseline Stereo Cor aTriestebIEEEcSep 2013 a806 - 8113 a

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.

 

1 aJuhász, Endre1 aTanacs, Attila1 aKato, Zoltan1 aRamponi, Giovanni1 aLončarić, Sven1 aCarini, Alberto1 aEgiazarian, Karen uhttps://inf.u-szeged.hu/en/publication/evaluation-of-point-matching-methods-for-wide-baseline-stereo-correspondence-on-mobile-platforms