Advertisement

The Traveling Optical Scanner – Case Study on 3D Shape Models of Ancient Brazilian Skulls

  • Camilla Himmelstrup Trinderup
  • Vedrana Andersen Dahl
  • Kristian Murphy Gregersen
  • Ludovic Antoine Alexandre Orlando
  • Anders Bjorholm Dahl
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9680)

Abstract

Recovering detailed morphological information from archaeological or paleontological material requires extensive hands-on time. Creating 3D scans based on e.g. computed tomography (CT) will recover the geometry of the specimen, but can inflict bimolecular degradation. Instead, we propose a fast, inoffensive and inexpensive 3D scanning modality based on structured light, suitable for capturing the morphology and the appearance of specimens. Benefits of having 3D models are manifold. The 3D models are easy to share among researchers and can be made available to the general public. Advanced morphological modelling is possible with accurate description of the specimens provided by the models. Furthermore, performing studies on models reduces the risk of damage to the original specimen. In our work we employ a high resolution structured light scanner for digitalizing a collection of 8500 year old human skulls from Brazil. To evaluate the precision of our set-up we compare the structured light scan to micro-CT and achieve sub-millimetre difference. We analyse morphological features of the Brazilian skulls using manual landmarks, but a research goal is to automate this, fully utilize the dense 3D scans, and apply the method to many more samples.

Keywords

Point Cloud Iterative Close Point Iterative Close Point Statistical Shape Model Human Skull 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Acko, B., McCarthy, M., Haertig, F., Buchmeister, B.: Standards for testing freeform measurement capability of optical and tactile coordinate measuring machines. Measur. Sci. Technol. 23(9), 094013 (2012)CrossRefGoogle Scholar
  2. 2.
    Bærentzen, J.A., Gravesen, J., Anton, F., Aanæs, H.: Guide to Computational Geometry Processing: Foundations, Algorithms, and Methods. Springer, London (2012)CrossRefzbMATHGoogle Scholar
  3. 3.
    Bertrand, L., Schöeder, S., Anglos, D., Breese, M.B., Janssens, K., Moini, M., Simon, A.: Mitigation strategies for radiation damage in the analysis of ancient materials. Trends Anal. Chem. 66, 128–145 (2015). http://www.sciencedirect.com/science/article/pii/S0165993614002490 CrossRefGoogle Scholar
  4. 4.
    Boochs, F., Trémeau, A., Murphy, O., Gerke, M., Lerma, J., Karmacharya, A., Karaszewski, M.: Towards a knowledge model bridging technologies and applications in cultural heritage documentation. ISPRS Ann. Photogrammetry, Remote Sens. Spat. Inf. Sci. II–5, 81–88 (2014)CrossRefGoogle Scholar
  5. 5.
    Cootes, T., Baldock, E., Graham, J.: An introduction to active shape models. Image Processing and Analysis, pp. 223–248 (2000)Google Scholar
  6. 6.
    Eiriksson, E., Wilm, J., Aanæs, H.: Precision and accuracy parameters in structured light 3-D scanning. ISPRS. - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2016, to appear)Google Scholar
  7. 7.
    Friess, M.: Calvarial shape variation among middle pleistocene hominins: an application of surface scanning in palaeoanthropology. C.R. Palevol 9(6), 435–443 (2010)CrossRefGoogle Scholar
  8. 8.
    Grieshaber, B.M., Osborne, D.L., Doubleday, A.F., Kaestle, F.A.: A pilot study into the effects of X-ray and computed tomography exposure on the amplification of DNA from bone. J. Archaeol. Sci. 35(3), 681–687 (2008)CrossRefGoogle Scholar
  9. 9.
    Kazhdan, M., Bolitho, M., Hoppe, H.: Poisson surface reconstruction. In: Proceedings of the Fourth Eurographics Symposium on Geometry Processing, vol. 7 (2006)Google Scholar
  10. 10.
    Lorensen, W.E., Cline, H.E.: Marching cubes: a high resolution 3D surface construction algorithm. In: ACM Siggraph, vol. 21, pp. 163–169. ACM (1987)Google Scholar
  11. 11.
    Neves, W.A., Hubbe, M., Piló, L.B.: Early holocene human skeletal remains from Sumidouro cave, Lagoa Santa, Brazil: history of discoveries, geological and chronological context, and comparative cranial morphology. J. Hum. Evol. 52(1), 16–30 (2007)CrossRefGoogle Scholar
  12. 12.
    Salvi, J., Pages, J., Batlle, J.: Pattern codification strategies in structured light systems. Pattern Recogn. 37(4), 827–849 (2004)CrossRefzbMATHGoogle Scholar
  13. 13.
    Suppes, A., Neuser, E.: Metrology with CT: precision challenge. In: Proceedings of the SPIE - The International Society for Optical Engineering (2008)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Camilla Himmelstrup Trinderup
    • 1
  • Vedrana Andersen Dahl
    • 1
  • Kristian Murphy Gregersen
    • 2
  • Ludovic Antoine Alexandre Orlando
    • 2
  • Anders Bjorholm Dahl
    • 1
  1. 1.DTU Compute, Technical University of DenmarkLyngbyDenmark
  2. 2.Natural History Museum of Denmark, University of CopenhagenCopenhagenDenmark

Personalised recommendations