Collaborative mobile 3D reconstruction of urban scenes

Attila Tanács, András Majdik, Levente Hajder, József Molnár, Zsolt Sánta, Zoltan Kato

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationComputer Vision - 12th Asian Conference on Computer Vision, ACCV 2014, Revised Selected Papers
EditorsC.V. Jawahar, Shiguang Shan
PublisherSpringer Verlag
Pages486-501
Number of pages16
ISBN (Print)9783319166339
DOIs
Publication statusPublished - 2015
Event12th Asian Conference on Computer Vision, ACCV 2014 - Singapore, Singapore
Duration: Nov 1 2014Nov 2 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9010
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other12th Asian Conference on Computer Vision, ACCV 2014
CountrySingapore
CitySingapore
Period11/1/1411/2/14

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Tanács, A., Majdik, A., Hajder, L., Molnár, J., Sánta, Z., & Kato, Z. (2015). Collaborative mobile 3D reconstruction of urban scenes. In C. V. Jawahar, & S. Shan (Eds.), Computer Vision - 12th Asian Conference on Computer Vision, ACCV 2014, Revised Selected Papers (pp. 486-501). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9010). Springer Verlag. https://doi.org/10.1007/978-3-319-16634-6_36