Advertisement

Introduction to DigTrace

  • Matthew R. BennettEmail author
  • Marcin Budka
Chapter
  • 313 Downloads

Abstract

This chapter introduces the freeware DigTrace which was developed by the authors for both use in vertebrate ichnology and for application to forensic practice. There are other software solutions which do some of these functions and these are briefly discussed. This chapter forms an extended manual to the software and the reader is encouraged to download it from our website (www.digtrace.co.uk) and to experiment with some of the functions and techniques described in this chapter.

Keywords

Library Project Undercut Area Sensor Size Landmark Coordinates Basic File Format 
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. Budka M, Bakirov R, Deng S, Falkingham P, Reynolds SC, Bennett MR (2016) DigTrace Pro [Computer Software], Version 1.8.1. Bournemouth UniversityGoogle Scholar
  2. Davies TG, Rahman IA, Lautenschlager S, Cunningham JA, Asher RJ, Barrett PM, Bates KT, Bengtson S, Benson RB, Boyer DM, Braga J (2017) Open data and digital morphology. Proc R Soc B 284:20170194CrossRefGoogle Scholar
  3. Falkingham PL (2012) Acquisition of high resolution three-dimensional models using free, open source, photogrammetric software. Palaeontol Electronica 15 1T:15pGoogle Scholar
  4. Falkingham PL, Bates KT, Avanzine M, Bennett M, Bordy E, Breithaupt BH, Castanera D, Citton P, Díaz-Marinez I, Farlow JO, Fiorillo AR, Gatesy SM, Getty P, Hatala KG, Hornung JJ, Hyatt JA, Klein H, Lallensack JN, Martin AJ, Marty D, Matthew NA, Meyer CA, Milan J, Minter NJ, Razzolini NL, Romilio A, Salisbury SW, Scicio L, Tanaka I, Wiseman ALA, Xing LD, Belvedere M (2018) A standard protocol for documenting modern and fossil technological data. Palaeotology in press.  https://doi.org/10.1111/pala.12373
  5. Furukawa Y, Ponce P (2010) Accurate, dense, and robust multi-view stereopsis. IEEE Trans Pattern Anal Mach Intell 32(8):1362–1376CrossRefGoogle Scholar
  6. Kabsch W (1993) Automatic processing of rotation diffraction data from crystals of initially unknown symmetry and cell constants. J Appl Crystal 26:795–800CrossRefGoogle Scholar
  7. Matthews N, Noble T, Breithaupt B (2016) Close-range photogrammetry for £-D ichnology: the basics of photogrammetry ichnology. In: Falkingham PL, Marty D, Richter A (eds) Dinosaur tracks: the next steps. Indiana University Press, Bloomington, pp 29–55Google Scholar
  8. Monasse P, Marlet R (2012) Adaptive structure from motion with a contrario model estimation [Incremental SfM, Computer Software]. In: Asian conference on computer vision, 2012Google Scholar
  9. Moulon P, Monasse P, Marlet R (2013) Global fusion of relative motions for robust, accurate and scalable structure from motion [Global SfM, Computer Software]. In: International conference on computer vision, 2013Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Faculty of Science and Technology, Institute for Studies of Landscape and Human EvolutionBournemouth UniversityPooleUK
  2. 2.Department of Computing and Informatics, Faculty of Science and Technology, Institute for Studies of Landscape and Human EvolutionBournemouth UniversityPooleUK

Personalised recommendations