3D reconstruction of planar surface patches: A direct solution

Jòzsef Molnár, Rui Huang, Zoltan Kato

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

6 Citations (Scopus)

Abstract

We propose a novel solution for reconstructing planar surface patches. The theoretical foundation relies on variational calculus, which yields a closed form solution for the normal and distance of a 3D planar surface patch, when an affine transformation is known between the corresponding image region pairs. Although we apply the proposed method to projective cameras, the theoretical derivation itself is not restricted to perspective projection. The method is quantitatively evaluated on a large set of synthetic data as well as on real images of urban scenes, where planar surface reconstruction is often needed. Experimental results confirm that the method provides good reconstructions in real-time.

Original languageEnglish
Title of host publicationComputer Vision - ACCV 2014 Workshops - Revised Selected Papers
EditorsC.V. Jawahar, Shiguang Shan
PublisherSpringer Verlag
Pages286-300
Number of pages15
ISBN (Print)9783319166278
DOIs
Publication statusPublished - Jan 1 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)
Volume9008
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

    Molnár, J., Huang, R., & Kato, Z. (2015). 3D reconstruction of planar surface patches: A direct solution. In C. V. Jawahar, & S. Shan (Eds.), Computer Vision - ACCV 2014 Workshops - Revised Selected Papers (pp. 286-300). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9008). Springer Verlag. https://doi.org/10.1007/978-3-319-16628-5_21