Skip to main content
SpringerLink
Log in

Evaluation of Multi-view 3D Reconstruction Software

  • Conference paper
  • First Online:
Computer Analysis of Images and Patterns (CAIP 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9257))

Included in the following conference series:

Abstract

A number of software solutions for reconstructing 3D models from multi-view image sets have been released in recent years. Based on an unordered collection of photographs, most of these solutions extract 3D models using structure-from-motion (SFM) algorithms. In this work, we compare the resulting 3D models qualitatively and quantitatively. To achieve these objectives, we have developed different methods of comparison for all software solutions. We discuss the perfomance and existing drawbacks. Particular attention is paid to the ability to create printable 3D models or 3D models usable for other applications.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Acute3D: Smart3DCapture - Acute3D — capturing reality with automatic 3D photogrammetry software, January 2015. http://www.acute3d.com/

  2. Agisoft: Agisoft PhotoScan, January 2015. http://www.agisoft.ru/

  3. Autodesk Inc: Autodesk 123D Catch — 3D model from photos, January 2015. http://www.123dapp.com/catch

  4. Bernardini, F., Mittleman, J., Rushmeier, H., Silva, C., Taubin, G.: The ball-pivoting algorithm for surface reconstruction. IEEE Trans. Vis. Comput. Graphics 5(4), 349–359 (1999)

    Article  Google Scholar 

  5. Besl, P., McKay, H.: A method for registration of 3-D shapes. IEEE Trans. Pattern Anal. Mach. Intell. 14(2), 239–256 (1992)

    Article  Google Scholar 

  6. Ceylan, D., Mitra, N.J., Zheng, Y., Pauly, M.: Coupled structure-from-motion and 3D symmetry detection for urban facades. ACM Trans. Graphics 33(1), 1–15 (2014)

    Article  Google Scholar 

  7. CloudCompare : Cloudcompare, January 2015. http://www.danielgm.net/cc/

  8. Fitzgibbon, A.W., Cross, G., Zisserman, A.: Automatic 3D model construction for turn-table sequences. In: Koch, R., Van Gool, L. (eds.) SMILE 1998. LNCS, vol. 1506, pp. 155–170. Springer, Heidelberg (1998)

    Chapter  Google Scholar 

  9. Fonstad, M.A., Dietrich, J.T., Courville, B.C., Jensen, J.L., Carbonneau, P.E.: Topographic structure from motion: a new development in photogrammetric measurement. Earth Surface Processes and Landforms 38(4), 421–430 (2013)

    Article  Google Scholar 

  10. Furukawa, Y., Curless, B., Seitz, S.M., Szeliski, R.: Towards internet-scale multi-view stereo. In: IEEE Computer Vision and Pattern Recognition (CVPR), pp. 1434–1441 (2010)

    Google Scholar 

  11. van den Hengel, A., Dick, A., Thormählen, T., Ward, B., Torr, P.H.S.: VideoTrace. ACM Trans. Graphics 26(3), 86 (2007)

    Article  Google Scholar 

  12. Henry, P., Krainin, M., Herbst, E., Ren, X., Fox, D.: RGB-D mapping: using depth cameras for dense 3D modeling of indoor environments. In: Khatib, O., Kumar, V., Sukhatme, G. (eds.) Experimental Robotics. STAR, vol. 79, pp. 477–491. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  13. Kersten, T.P., Lindstaedt, M.: Image-based low-cost systems for automatic 3D recording and modelling of archaeological finds and objects. In: Ioannides, M., Fritsch, D., Leissner, J., Davies, R., Remondino, F., Caffo, R. (eds.) EuroMed 2012. LNCS, vol. 7616, pp. 1–10. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  14. Koutsoudis, A., Vidmar, B., Ioannakis, G., Arnaoutoglou, F., Pavlidis, G., Chamzas, C.: Multi-image 3D reconstruction data evaluation. Journal of Cultural Heritage 15(1), 73–79 (2014)

    Article  Google Scholar 

  15. Lukas Mach: insight3d - opensource image based 3D modeling software, January 2015. http://insight3d.sourceforge.net/

  16. MeshLab: Meshlab, January 2015. http://meshlab.sourceforge.net/

  17. Newcombe, R.A., Izadi, S., Hilliges, O., Molyneaux, D., Kim, D., Davison, A.J., Kohi, P., Shotton, J., Hodges, S., Fitzgibbon, A.: Kinectfusion: real-time dense surface mapping and tracking. In: IEEE International Symposium on Mixed and Augmented Reality (ISMAR), pp. 127–136 (2011)

    Google Scholar 

  18. Pan, Q., Reitmayr, G., Drummond, T.: Proforma: probabilistic feature-based on-line rapid model acquisition. In: Proceedings of the British Machine Vision Conference (BMVC) (2009)

    Google Scholar 

  19. Schöning, J., Heidemann, G.: Interactive 3D modeling - a survey-based perspective on interactive 3D reconstruction. In: Proceedings of the International Conference on Pattern Recognition Applications and Methods (ICPRAM), vol. 2, pp. 289–294 (2015)

    Google Scholar 

  20. Schöning, J., Pardowitz, M., Heidemann, G.: Taxonomy of 3D sensors: A survey of state-of-the-art low cost 3D-reconstruction sensors and their field of application. Low Cost 3D (2014)

    Google Scholar 

  21. Seitz, S., Curless, B., Diebel, J., Scharstein, D., Szeliski, R.: A comparison and evaluation of multi-view stereo reconstruction algorithms, vol. 1, pp. 519–528 (2006)

    Google Scholar 

  22. Singh, S.P., Jain, K., Mandla, V.R.: 3D scene reconstruction from video camera for virtual 3d city modeling. American Journal of Engineering Research 3(1), 140–148 (2014)

    Google Scholar 

  23. Snavely, N., Seitz, S.M., Szeliski, R.: Photo tourism: Exploring photo collections in 3d. ACM Trans. Graphics 25(3), 835 (2006)

    Article  Google Scholar 

  24. Société Internationale de Photogrammétrie et de Télédétection (ISPRS): The isprs data set collection, January 2015. http://www.isprs.org/data/default.aspx

  25. Strecha, C., von Hansen, W., Van Gool, L., Fua, P., Thoennessen, U.: On benchmarking camera calibration and multi-view stereo for high resolution imagery. In: IEEE Computer Vision and Pattern Recognition (CVPR), pp. 1–8 (2008)

    Google Scholar 

  26. Thoeni, K., Giacomini, A., Murtagh, R., Kniest, E.: A comparison of multi-view 3D reconstruction of a rock wall using several cameras and a laser scanner. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. XL-5, 573–580 (2014)

    Google Scholar 

  27. Uh, Y., Matsushita, Y., Byun, H.: Efficient multiview stereo by random-search and propagation. In: International Conference on 3D Vision (2014)

    Google Scholar 

  28. Vergauwen, M., Van Gool, L.: Web-based 3D reconstruction service. Machine Vision and Applications 17(6), 411–426 (2006)

    Article  Google Scholar 

  29. Visual Geometry Group, University of Oxford: Multi-view and oxford colleges building reconstruction - dinosaur, August 2014

    Google Scholar 

  30. Wu, C.: Towards linear-time incremental structure from motion. In: International Conference on 3D Vision (2013)

    Google Scholar 

  31. Wu, C.: SiftGPU: A GPU implementation of scale invariant feature transform (SIFT), January 2015. http://cs.unc.edu/ ccwu/siftgpu

  32. Wu, C., Agarwal, S., Curless, B., Seitz, S.M.: Multicore bundle adjustment. In: IEEE Computer Vision and Pattern Recognition (CVPR) (2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Cognitive Science, University of Osnabrück, Osnabrück, Germany

    Julius Schöning & Gunther Heidemann

Authors
  1. Julius Schöning
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Gunther Heidemann
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Julius Schöning .

Editor information

Editors and Affiliations

  1. University of Malta, Msida, Malta

    George Azzopardi

  2. University of Groningen, Groningen, The Netherlands

    Nicolai Petkov

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Schöning, J., Heidemann, G. (2015). Evaluation of Multi-view 3D Reconstruction Software. In: Azzopardi, G., Petkov, N. (eds) Computer Analysis of Images and Patterns. CAIP 2015. Lecture Notes in Computer Science(), vol 9257. Springer, Cham. https://doi.org/10.1007/978-3-319-23117-4_39

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-23117-4_39

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23116-7

  • Online ISBN: 978-3-319-23117-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation