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Interactive scan planning for heritage recording

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Abstract

Terrestrial laser scanning has received attention as an efficient technology in the cultural heritage domain for recording the geometry of historic monuments quickly and precisely. It is important to find appropriate scanner configurations to make the scanning process efficient and to build reliable records. These configurations should satisfy required constraints such as full coverage, sufficient overlap, scan range limit, and laser incidence angle. This is called the view planning problem. We sought to develop a scan planning scheme for recording large monuments in the cultural heritage domain. Typical approaches to deal with the view planning problem, however, do not consider the specific requirements in this domain. In this paper, we propose an interactive scan planning approach that supports analytic computation as well as heuristic decision. It includes three supporting guides. A next scan grid supports semi-automated optimization in interactive planning, and scan geometry helps the user to intuitively decide the next best position in a feasible region. A knowledge guide, which is reasoned out by similar properties, provides the user with experts’ heuristic solutions to aid practical planning. These guides support efficient scan planning in a complementary manner. We introduce the use of region of interest to obtain more accurate data for focused features. ScanPlanner is implemented on this basis. The result of tests showed that the proposed approach allows users to make efficient and reliable scan plans for heritage recording.

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References

  1. Alshawabkeh Y, Haala N (2004) Laser scanning and photogrammetry: A hybrid approach for heritage documentation. In: The 3rd International Conference on Science and Technology in Archaeology and Conservation, Amman, Jordan, 2004. pp 7–11

  2. Balzani M, Santopuoli N, Grieco A, Zaltron N (2004) Laser scanner 3D survey in archaeological field: The Forum of Pompeii. Paper presented at the International Conference on Remote Sensing Archaeology, Beijing

  3. Banta JE, Zhien Y, Wang XZ, Zhang G, Smith M, Abidi MA (1995) Best-next-view algorithm for three-dimensional scene reconstruction using range images. In: Photonics East, 1995. International Society for Optics and Photonics, pp 418–429

  4. Barber D, Mills J, Bryan P (2003) Towards a standard specification for terrestrial laser scanning of cultural heritage. In: CIPA XIX International Symposium, 2003. pp 619–625

  5. Barber D, Mills J, Heritage E (eds) (2011) 3D Laser Scanning for Heritage(2nd edition): Advice and guidance to users on laser scanning in archaeology and architecture. 2nd edn. English Heritage

  6. Bellian J, Kerans C, Jennette D (2005) Digital outcrop models: applications of terrestrial scanning lidar technology in stratigraphic modeling. J Sediment Res 75(2):166–176

    Article  Google Scholar 

  7. Bernardini F, Rushmeier H, Martin IM, Mittleman J, Taubin G (2002) Building a digital model of Michelangelo’s Florentine Pieta. Comput Graph Appl IEEE 22(1):59–67

    Article  Google Scholar 

  8. Blaer PS (2008) View planning for automated site modeling. Doctoral dissertation, Columbia University, New York

  9. Boehler W, Vicent MB, Marbs A (2003) Investigating laser scanner accuracy. Int Arch Photogramm Remote Sens Spat Inf Sci 34(Part 5):696–701

    Google Scholar 

  10. Cabrelles M, Galcerá S, Navarro S, Lerma JL, Akasheh T, Haddad N (2009) Integration of 3D laser scanning, photogrammetry and thermography to record architectural monuments. In: The 22nd International CIPA Symposium, 2009. p 6

  11. Connolly C (1985) The determination of next best views. In: IEEE International Conference on Robotics and Automation, 1985. IEEE, pp 432–435

  12. Cowan CK, Kovesi PD (1988) Automatic sensor placement from vision task requirements. IEEE Trans Pattern Anal Mach Intell 10(3):407–416

    Article  Google Scholar 

  13. El-Hakim SF, Beraldin J-A, Picard M, Godin G (2004) Detailed 3D reconstruction of large-scale heritage sites with integrated techniques. Comput Graph Appl IEEE 24(3):21–29

    Article  Google Scholar 

  14. Fujimoto K, Beniyama F, Moriya T, Nakayama Y (2008) Reconstruction of 3D indoor model by scalable sensing using mobile robot. In: Electronic Imaging, 2008. International Society for Optics and Photonics, pp 68050I-68050I-68010

  15. Gaiani M, Balzani M, Uccelli F (2000) Reshaping the Coliseum in Rome: an integrated data capture and modeling method at heritage sites. In: Computer Graphics Forum, 2000. vol 3. Blackwell Publishers Ltd., pp 369–378

  16. Grussenmeyer P, Landes T, Voegtle T, Ringle K (2008) Comparison methods of terrestrial laser scanning, photogrammetry and tacheometry data for recording of cultural heritage buildings. Int Arch Photogramm Remote Sens Spat Inf Sci 37(5):213–218

    Google Scholar 

  17. Guarnieri A, Vettore A, El-Hakim S, Gonzo L (2004) Digital photogrammetry and laser scanning in cultural heritage survey. Int Arch Photogramm Remote Sens Spat Inf Sci 35:B5

    Google Scholar 

  18. Guidi G, Remondino F, Russo M, Menna F, Rizzi A, Ercoli S (2009) A multi-resolution methodology for the 3D modeling of large and complex archeological areas. Int J Archit Comput 7(1):39–55

    Article  Google Scholar 

  19. Ikeuchi K (2001) Modeling from reality. In: The 3rd International Conference on 3-D Digital Imaging and Modeling, 2001. IEEE, pp 117–124

  20. Ikeuchi K, Oishi T, Takamatsu J, Sagawa R, Nakazawa A, Kurazume R, Nishino K, Kamakura M, Okamoto Y (2007) The great buddha project: digitally archiving, restoring, and analyzing cultural heritage objects. Int J Comput Vis 75(1):189–208

    Article  Google Scholar 

  21. Kersten T, Mechelke K, Lindstaedt M, Sternberg H (2008) Geometric accuracy investigations of the latest terrestrial laser scanning systems. In: Integrating Generations, FIG Working Week, Stockholm, Sweden, 14–19 June 2008

  22. Lerma JL, Navarro S, Cabrelles M, Seguí AE, Haddad N, Akasheh T (2010) Integration of laser scanning and imagery for photorealistic 3D architectural documentation. Laser Scanning, Theory and Applications:414–430

  23. Levoy M, Pulli K, Curless B, Rusinkiewicz S, Koller D, Pereira L, Ginzton M, Anderson S, Davis J, Ginsberg J (2000) The digital Michelangelo project: 3D scanning of large statues. In: The 27th annual conference on Computer graphics and interactive techniques, 2000. ACM Press/Addison-Wesley Publishing Co., pp 131–144

  24. Low K-L (2006) View planning for range acquisition of indoor environments. Doctoral dissertation, University of North Carolina at Chapel Hill, NC

  25. Massios NA, Fisher RB (1998) A best next view selection algorithm incorporating a quality criterion. In: BMVC, 1998. pp 1–10

  26. Maver J, Bajcsy R (1993) Occlusions as a guide for planning the next view. IEEE Trans Pattern Anal Mach Intell 15(5):417–433

    Article  Google Scholar 

  27. Nagatani K, Matsuzawa T, Yoshida K (2010) Scan-point planning and 3-d map building for a 3-d laser range scanner in an outdoor environment. In: Field and Service Robotics, 2010. Springer, pp 207–217

  28. Pito R (1999) A solution to the next best view problem for automated surface acquisition. IEEE Trans Pattern Anal Mach Intell 21(10):1016–1030

    Article  Google Scholar 

  29. Reed MK, Allen PK (2000) Constraint-based sensor planning for scene modeling. IEEE Trans Pattern Anal Mach Intell 22(12):1460–1467

    Article  Google Scholar 

  30. Remondino F (2011) Heritage recording and 3D modeling with photogrammetry and 3D scanning. Remote Sens 3(6):1104–1138

    Article  Google Scholar 

  31. Schaer P, Skaloud J, Landtwing S, Legat K (2007) Accuracy estimation for laser point cloud including scanning geometry. Paper presented at the The 5th International Symposium on Mobile Mapping Technology, Padua, Italy

  32. Scott WR, Roth G, Rivest J-F (2001) View planning with a registration constraint. In: The 3rd International Conference on 3-D Digital Imaging and Modeling, 2001. IEEE, pp 127–134

  33. Scott W, Roth G, Rivest J-F (2003) View Planning for Automated 3D Object Reconstruction and Inspection. ACM Computing Surveys 35 (1)

  34. Sequeira V, Gonçalves JG (2002) 3D reality modelling: Photo-realistic 3D models of real world scenes. In: The 1st International Symposium on 3D Data Processing Visualization and Transmission, 2002. IEEE, pp 776–783

  35. Soucy G, Callari FG, Ferrie FP (1998) Uniform and complete surface coverage with a robot-mounted laser rangefinder. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, 1998. IEEE, pp 1682–1688

  36. Soudarissanane S, Lindenbergh R (2011) Optimizing terrestrial laser scanning measurement set-up. Paper presented at the International Archives of the Photogrammetry. Remote Sensing and Spatial Information Sciences, Calgary, Canada, pp 29–31

  37. Soudarissanane S, Lindenbergh R, Menenti M, Teunissen P (2011) Scanning geometry: influencing factor on the quality of terrestrial laser scanning points. ISPRS J Photogramm Remote Sens 66(4):389–399

    Article  Google Scholar 

  38. Soudarissanane S, Van Ree J, Bucksch A, Lindenbergh R (2007) Error budget of terrestrial laser scanning: influence of the incidence angle on the scan quality. In: 3D-NordOst, Berlin, Germany, 2007. pp 1–8

  39. Tarabanis KA, Allen PK, Tsai RY (1995) A survey of sensor planning in computer vision. IEEE Trans Robot Autom 11(1):86–104

    Article  Google Scholar 

  40. Tarbox GH, Gottschlich SN (1995) Planning for complete sensor coverage in inspection. Comput Vis Image Underst 61(1):84–111

    Article  Google Scholar 

  41. Voegtle T, Wakaluk S (2009) Effects on the measurements of the terrestrial laser scanner HDS 6000 (Leica) caused by different object materials. Proc ISPRS Work 38:68–74

    Google Scholar 

  42. Yastikli N (2007) Documentation of cultural heritage using digital photogrammetry and laser scanning. J Cult Herit 8(4):423–427

    Article  Google Scholar 

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Acknowledgments

This research was partially supported by NRF and the BK21 Plus Framework.

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Correspondence to Jaehong Ahn.

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Ahn, J., Wohn, K. Interactive scan planning for heritage recording. Multimed Tools Appl 75, 3655–3675 (2016). https://doi.org/10.1007/s11042-015-2473-0

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  • DOI: https://doi.org/10.1007/s11042-015-2473-0

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