Stereo matching strategy for 3-D urban modeling

Choung Hwan Park, Hong Gyoo Sohn, Yeong Sun Song

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

1 Citation (Scopus)

Abstract

This paper proposes an effective matching strategy to reconstruct 3-D urban models in densely built-up areas. Proposed scheme includes two main steps: feature-based image matching using building recognition technique and 3-D building reconstruction using the refined Rational Function Coefficients (RFCs). Especially, our approach is focused on improving the matching efficiency in complex urban scenes. For this purpose, we first performed automatic building recognition between stereo images, and then we endowed all points of building edges with identifiers using edge tracing method. Each identifier plays an important role in reducing search space for image matching within points of same building. A standard IKONOS stereo product was used to evaluate the proposed algorithms. It turned out that the proposed method could automatically determine the initial position and could dramatically reduce search space for point matching. Also, it was demonstrated that the updated RFCs could provide high-quality 3-D urban models.

Original languageEnglish
Title of host publicationComputational Science and Its Applications - ICCSA 2006
Subtitle of host publicationInternational Conference, Proceedings - Part II
PublisherSpringer Verlag
Pages1043-1050
Number of pages8
ISBN (Print)3540340726, 9783540340720
DOIs
Publication statusPublished - 2006 Jan 1
EventICCSA 2006: International Conference on Computational Science and Its Applications - Glasgow, United Kingdom
Duration: 2006 May 82006 May 11

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3981 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherICCSA 2006: International Conference on Computational Science and Its Applications
CountryUnited Kingdom
CityGlasgow
Period06/5/806/5/11

Fingerprint

Stereo Matching
Image matching
Rational functions
3D
Image Matching
Rational function
Search Space
Modeling
Coefficient
Tracing
Evaluate
Model
Strategy

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Park, C. H., Sohn, H. G., & Song, Y. S. (2006). Stereo matching strategy for 3-D urban modeling. In Computational Science and Its Applications - ICCSA 2006: International Conference, Proceedings - Part II (pp. 1043-1050). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3981 LNCS). Springer Verlag. https://doi.org/10.1007/11751588_110
Park, Choung Hwan ; Sohn, Hong Gyoo ; Song, Yeong Sun. / Stereo matching strategy for 3-D urban modeling. Computational Science and Its Applications - ICCSA 2006: International Conference, Proceedings - Part II. Springer Verlag, 2006. pp. 1043-1050 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Park, CH, Sohn, HG & Song, YS 2006, Stereo matching strategy for 3-D urban modeling. in Computational Science and Its Applications - ICCSA 2006: International Conference, Proceedings - Part II. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3981 LNCS, Springer Verlag, pp. 1043-1050, ICCSA 2006: International Conference on Computational Science and Its Applications, Glasgow, United Kingdom, 06/5/8. https://doi.org/10.1007/11751588_110

Stereo matching strategy for 3-D urban modeling. / Park, Choung Hwan; Sohn, Hong Gyoo; Song, Yeong Sun.

Computational Science and Its Applications - ICCSA 2006: International Conference, Proceedings - Part II. Springer Verlag, 2006. p. 1043-1050 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3981 LNCS).

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

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Park CH, Sohn HG, Song YS. Stereo matching strategy for 3-D urban modeling. In Computational Science and Its Applications - ICCSA 2006: International Conference, Proceedings - Part II. Springer Verlag. 2006. p. 1043-1050. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/11751588_110