Skip to main content
Log in

Interactive 3D building modeling method using panoramic image sequences and digital map

  • Published:
Multimedia Tools and Applications Aims and scope Submit manuscript

Abstract

This paper proposes a method of generating 3D building models with precise geospatial information and a photograph-based façade appearance from panoramic image sequences and digital maps. 3D building modeling research is actively being conducted in areas such as geographic information systems, virtual reality, and augmented reality. However, the generation of realistic 3D models from a ground-level viewpoint is still extremely costly in terms of labor of modeling experts, and collection of data. We have developed a method for 3D building modeling with high-resolution photograph-based appearance information using panoramic images captured at ground level with a mobile mapping system, and geospatial information obtained from a digital map. The proposed method includes 1) pre-processing for tilt correction and base 3D model generation, 2) geo-registration of panoramic images with minimal user input, and 3) building height and shape estimation. This paper presents the proposed method and the quantitative performance measure obtained from a developed test modeling system. In addition, modeling results from an experimental dataset are also presented.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15

Similar content being viewed by others

References

  1. Alexakis E, Tsironis V, Petsa E, Karras G (2016) Automatic adjustment of wide-base google street view panoramas. Remote Sens Spat Inf Sci XLI-B1:639–645

    Google Scholar 

  2. Baillard C, Zisserman A (1999) Automatic reconstruction of piecewise planar models from multiple views. In: Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149), Fort Collins 2, 559–565

  3. Barinova O, Konushin V, Yakubenko A, Lee K, Lim H, Konushin A (2008) Fast automatic single-view 3-d reconstruction of urban scenes. In: ECCV 2008, 12-18 October, Marseille, France: Springer, 100–113

    Google Scholar 

  4. Comaniciu D, Meer P (2002) Mean Shift: A Robust Approach Toward Feature Space Analysis. IEEE Trans Pattern Anal Mach Intell 24(5):603–619

    Article  Google Scholar 

  5. Debevec PE, Taylor CJ, Malik J (1996) Modeling and rendering architecture from photographs: a hybrid geometry- and image-based approach. In: Proceedings of the 23rd Annual Conference on Computer Graphics and Interactive Techniques, 11–20

  6. Gioi RG, Jakubowicz J, Morel J, Randall G (2012) LSD: a line segment detector. Image Process On Line 2:35–55

    Article  Google Scholar 

  7. Google earth (2014) Available from: https://earth.google.com/. Accessed 2 June 2016

  8. Guo H, Li X, Wang W, Lv Z, Wu C, Xu W (2016) An event-driven dynamic updating method for 3D geo-databases. Geo-spatial Inf Sci 19(2):140–147

    Article  Google Scholar 

  9. Hartley R, Zisserman A (2004) Multiple View Geometry in Computer Vision, 2nd edn. Cambridge University Press, Cambridge

    Book  Google Scholar 

  10. Hoiem D, Efros AA, Hebert M (2005) Automatic photo pop-up. ACM Trans Graph 24(3):577–584

    Article  Google Scholar 

  11. Kada M, Klinec D, Haala N (2005) Facade texturing for rendering 3D city models. In: ASPRS Conference 2005, 78–85

  12. Kim H, Han S (2016) Geo-registration of wide-baseline panoramic image sequences using a digital map reference. Multimed Tools Appl 1–19

  13. Kim H, Kang Y, Han S (2014) Automatic 3D City Modeling Using a Digital Map and Panoramic Images from a Mobile Mapping System. Math Probl Eng 1–10

    Google Scholar 

  14. Kolbe T, Gröger G, Plümer L (2005) CityGML – interoperable access to 3D city models. In: Proc. of the 1st International Symposium on Geo-information for Disaster Management, 21-23 March Netherlands: Springer, 883–899

    Chapter  Google Scholar 

  15. Li X, Wu C, Zach C, Lazebnik S, Frahm J (2008) Modeling and recognition of landmark image collections using iconic scene graphs. In: ECCV 2008, 12-18 October, Marseille, France: Springer, 427–440

    Google Scholar 

  16. Lowe DG (2004) Distinctive image features from scale-invariant keypoints. Int J Comput Vis 60(2):91–110

    Article  Google Scholar 

  17. Lu Z, Guerrero P, Mitra NJ, Steed A (2016) Open3D: crowd-sourced distributed curation of city models. In Proceedings of the 21st International Conference on Web3D Technology, 87–94

  18. Lv Z, Li X, Zhang B, Wang W, Zhu Y, Hu J, Feng S (2016) Managing big city information based on WebVRGIS. IEEE Access 4:407–415

    Article  Google Scholar 

  19. Moslah O, Klee M, Grolleau A, Guitteny V, Couvet S, Philipp-Foliguet S (2008) Urban models texturing from un-calibrated photographs. In: IVCNZ, 26-28 November, Christchurch, New Zealand: IEEE, 1–6

  20. Oh SH, Jung SK (2012) RANSAC-based Orthogonal Vanishing Point Estimation in the Equirectangular Images. J Korea MultimedSoc 15(12):1230–1441

    Google Scholar 

  21. Park J (2005) Interactive 3D reconstruction from multiple images: A primitive-based approach. Pattern Recogn Lett 26(16):2558–2571

    Article  Google Scholar 

  22. Rau J, Teo T, Chen L, Tsai F, Hsiao K, Hsu W (2006) Integration of GPS, GIS and photogrammetry for texture mapping in photo-realistic city modeling. In PSIVT, 10-13 December, Hsinchu, Taiwan: Springer, 1283–1292

    Chapter  Google Scholar 

  23. Sato T, Pajdla T, Yokoya N (2011) Epipolar geometry estimation for wide-baseline omnidirectional street view images. In: ICCV 2011, 6-13 November, Varcelona, Spain, 56–63

  24. Sinha SN, Steedly D, Szeliski R, Agrawala M, Pollefeys M (2008) Interactive 3D architectural modeling from unordered photo collections. ACM Trans Graph 27(5):159 1–159:10

    Article  Google Scholar 

  25. Tsai F, Lin H-C (2007) Polygon-based texture mapping for cyber city 3D building models. Int J Geogr Inf Sci 21(9):965–981

    Article  Google Scholar 

  26. Ventura J, Hollerer T (2013) Structure and motion in urban environments using upright panoramas. Virtual Reality 17(2):147–156

    Article  Google Scholar 

  27. Vworld (2014) Available from: www.vworld.kr/. Accessed 8 Aug 2017

  28. Wang G, Tsui H, Hu Z (2005) Reconstruction of structured scenes from two uncalibrated images. Pattern Recogn Lett 26(2):207–220

    Article  Google Scholar 

  29. Xiao J, Fang T, Zhao P, Lhuillier M, Quan L (2009) Image-based street-side city modelling. ACM Trans Graph 28(5):114 1–114:12

    Article  Google Scholar 

  30. Yoo B (2013) Rapid three-dimensional urban model production using bilayered displacement mapping. Int J Geogr Inf Sci 27(1):24–46

    Article  Google Scholar 

  31. Zebedin L, Klaus A, Gruber-Geymayer B, Karner K (2006) Towards 3D map generation from digital aerial images. ISPRS J Photogramm Remote Sens 60(6):413–427

    Article  Google Scholar 

  32. Zebedin L, Bauer J, Karner K, Bischof H (2008) Fusion of feature- and area-based information for urban buildings modeling from aerial imagery, In: ECCV 2008, 12-18 October, Marseille, France: Springer, 873–886

  33. Zhang C, Wang L, Yang R (2010) Semantic Segmentation of Urban Scenes Using Dense Depth Maps. EVVC 2010:708–721

    Google Scholar 

  34. Zheng X, Zhang X, Guo P (2011) Building modeling from a single image applied in urban reconstruction. In: Proceedings of the 10th International Conference on Virtual Reality Continuum and Its Applications in Industry, Hongkong, Chana: ACM, 225–234

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hyungki Kim.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kim, H., Han, S. Interactive 3D building modeling method using panoramic image sequences and digital map. Multimed Tools Appl 77, 27387–27404 (2018). https://doi.org/10.1007/s11042-018-5926-4

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11042-018-5926-4

Keywords

Navigation