by Attila Tanács, András Majdik, Levente Hajder, József Molnár, Zsolt Sánta, Zoltan Kato
Abstract:
Reconstruction of the surrounding 3D world is of particular interest either for mapping, civil applications or for entertainment. The wide availability of smartphones with cameras and wireless networking capabilities makes collecting 2D images of a particular scene easy. In contrast to the client-server architecture adopted by most mobile services, we propose an architecture where data, computations and results can be shared in a collaborative manner among the participating devices without centralization. Camera calibration and pose estimation parameters are determined using classical image-based methods. The reconstruction is based on interactively selected arbitrary planar regions which is espe- cially suitable for objects having large (near) planar surfaces often found in urban scenes (e.g. building facades, windows, etc). The perspective distortion of a planar region in two views makes it possible to compute the normal and distance of the region w.r.t the world coordinate system. Thus a fairly precise 3D model can be built by reconstructing a set of planar regions with different orientation.We also show how visualization, data sharing and communication can be solved. The applicability of the method is demonstrated on reconstructing real urban scenes.
Reference:
Attila Tanács, András Majdik, Levente Hajder, József Molnár, Zsolt Sánta, Zoltan Kato, Collaborative Mobile 3D Reconstruction of Urban Scenes, In Proceedings of ACCV Workshop on Intelligent Mobile and Egocentric Vision (C. V. Jawahar, Shiguang Shan, eds.), volume 9010 of Lecture Notes in Computer Science, Singapore, pp. 486-501, 2014, Springer.
Bibtex Entry:
@string{accvimev="Proceedings of ACCV Workshop on Intelligent Mobile and Egocentric Vision"}
@string{lncs="Lecture Notes in Computer Science"}
@string{springer="Springer"}
@INPROCEEDINGS{Tanacs-etal2014a,
author = {Attila Tan\'{a}cs and Andr\'as Majdik and Levente
Hajder and J\'ozsef Moln\'ar and Zsolt S\'anta and
Zoltan Kato},
title = {Collaborative Mobile 3D Reconstruction of Urban
Scenes},
booktitle = accvimev,
year = 2014,
series = lncs,
address = {Singapore},
month = nov,
publisher = springer,
doi = {10.1007/978-3-319-16634-6_36},
abstract = {Reconstruction of the surrounding 3D world is of
particular interest either for mapping, civil
applications or for entertainment. The wide
availability of smartphones with cameras and
wireless networking capabilities makes collecting 2D
images of a particular scene easy. In contrast to
the client-server architecture adopted by most
mobile services, we propose an architecture where
data, computations and results can be shared in a
collaborative manner among the participating devices
without centralization. Camera calibration and pose
estimation parameters are determined using classical
image-based methods. The reconstruction is based on
interactively selected arbitrary planar regions
which is espe- cially suitable for objects having
large (near) planar surfaces often found in urban
scenes (e.g. building facades, windows, etc). The
perspective distortion of a planar region in two
views makes it possible to compute the normal and
distance of the region w.r.t the world coordinate
system. Thus a fairly precise 3D model can be built
by reconstructing a set of planar regions with
different orientation.We also show how
visualization, data sharing and communication can be
solved. The applicability of the method is
demonstrated on reconstructing real urban scenes.},
pages = {486-501},
editor = {C. V. Jawahar and Shiguang Shan},
volume = 9010
}