Title
Collaborative Mobile 3d Reconstruction Of Urban Scenes
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 especially 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.
Year
DOI
Venue
2014
10.1007/978-3-319-16634-6_36
COMPUTER VISION - ACCV 2014 WORKSHOPS, PT III
Field
DocType
Volume
Perspective distortion,Wireless network,Computer vision,Architecture,Computer science,Visualization,Bundle adjustment,Data sharing,Pose,Camera resectioning,Artificial intelligence
Conference
9010
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
9
6
Name
Order
Citations
PageRank
Attila Tanács100.34
Andras Majdik200.34
Levente Hajder34312.55
József Molnár400.34
Zsolt Sánta500.34
Zoltan Kato6909.74