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From deposit to point cloud: a study of low-cost computer vision approaches for the straightforward documentation of archaeological excavations

Michael Doneus, Geert Verhoeven UGent, Martin Fera, Christian Briese, Matthias Kucera and Wolfgang Neubauer (2011) GEOINFORMATICS (FACULTY OF CIVIL ENGINEERING, CZECH TECHNICAL UNIVERSITY IN PRAGUE). 6. p.81-88
abstract
Stratigraphic archaeological excavations demand high-resolution documentation techniques for 3D recording. Today, this is typically accomplished using total stations or terrestrial laser scanners. This paper demonstrates the potential of another technique that is low-cost and easy to execute. It takes advantage of software using Structure from Motion (SfM) algorithms, which are known for their ability to reconstruct camera pose and threedimensional scene geometry (rendered as a sparse point cloud) from a series of overlapping photographs captured by a camera moving around the scene. When complemented by stereo matching algorithms, detailed 3D surface models can be built from such relatively oriented photo collections in a fully automated way. The absolute orientation of the model can be derived by the manual measurement of control points. The approach is extremely flexible and appropriate to deal with a wide variety of imagery, because this computer vision approach can also work with imagery resulting from a randomly moving camera (i.e. uncontrolled conditions) and calibrated optics are not a prerequisite. For a few years, these algorithms are embedded in several free and low-cost software packages. This paper will outline how such a program can be applied to map archaeological excavations in a very fast and uncomplicated way, using imagery shot with a standard compact digital camera (even if the images were not taken for this purpose). Archived data from previous excavations of VIAS-University of Vienna has been chosen and the derived digital surface models and orthophotos have been examined for their usefulness for archaeological applications. The absolute georeferencing of the resulting surface models was performed with the manual identification of fourteen control points. In order to express the positional accuracy of the generated 3D surface models, the NSSDA guidelines were applied. Simultaneously acquired terrestrial laser scanning data – which had been processed in our standard workflow – was used to independently check the results. The vertical accuracy of the surface models generated by SfM was found to be within 0.04 m at the 95 % confidence interval, whereas several visual assessments proved a very high horizontal positional accuracy as well.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
keyword
3D single-surface recording, Excavation, Structure from Motion (SfM), Orthophoto, Computer vision
in
GEOINFORMATICS (FACULTY OF CIVIL ENGINEERING, CZECH TECHNICAL UNIVERSITY IN PRAGUE)
Geoinformatics (Fac. Civ. Eng. Czech Tech. Univ. Prague)
editor
Karel Pavelka
volume
6
issue title
XXIIIrd International CIPA Symposium
pages
81 - 88
conference name
XXIIIrd International CIPA Symposium
conference location
Prague, Czech Republic
conference start
2011-09-12
conference end
2011-09-16
ISSN
1802-2669
ISBN
9788001048856
language
English
UGent publication?
yes
classification
C1
copyright statement
I have transferred the copyright for this publication to the publisher
VABB id
c:vabb:323139
VABB type
VABB-5
id
2038452
handle
http://hdl.handle.net/1854/LU-2038452
alternative location
http://geoinformatics.fsv.cvut.cz/gwiki/Category:2011_Volume_6
date created
2012-02-21 08:33:25
date last changed
2012-02-22 14:34:53
@inproceedings{2038452,
  abstract     = {Stratigraphic archaeological excavations demand high-resolution documentation techniques for 3D recording. Today, this is typically accomplished using total stations or terrestrial laser scanners. This paper demonstrates the potential of another technique that is low-cost and easy to execute. It takes advantage of software using Structure from Motion (SfM) algorithms, which are known for their ability to reconstruct camera pose and threedimensional scene geometry (rendered as a sparse point cloud) from a series of overlapping photographs captured by a camera moving around the scene. When complemented by stereo matching algorithms, detailed 3D surface models can be built from such relatively oriented photo collections in a fully automated way. The absolute orientation of the model can be derived by the manual measurement of control points. The approach is extremely flexible and appropriate to deal with a wide variety of imagery, because this computer vision approach can also work with imagery resulting from a randomly moving camera (i.e. uncontrolled conditions) and calibrated optics are not a prerequisite. For a few years, these algorithms are embedded in several free and low-cost software packages. This paper will outline how such a program can be applied to map archaeological excavations in a very fast and uncomplicated way, using imagery shot with a standard compact digital camera (even if the images were not taken for this purpose). Archived data from previous excavations of VIAS-University of Vienna has been chosen and the derived digital surface models and orthophotos have been examined for their usefulness for archaeological applications. The absolute georeferencing of the resulting surface models was performed with the manual identification of fourteen control points. In order to express the positional accuracy of the generated 3D surface models, the NSSDA guidelines were applied. Simultaneously acquired terrestrial laser scanning data -- which had been processed in our standard workflow -- was used to independently check the results. The vertical accuracy of the surface models generated by SfM was found to be within 0.04 m at the 95 \% confidence interval, whereas several visual assessments proved a very high horizontal positional accuracy as well.},
  author       = {Doneus, Michael and Verhoeven, Geert and Fera, Martin and Briese, Christian and Kucera, Matthias and Neubauer, Wolfgang},
  booktitle    = {GEOINFORMATICS (FACULTY OF CIVIL ENGINEERING, CZECH TECHNICAL UNIVERSITY IN PRAGUE)},
  editor       = {Pavelka, Karel},
  isbn         = {9788001048856},
  issn         = {1802-2669},
  keyword      = {3D single-surface recording,Excavation,Structure from Motion (SfM),Orthophoto,Computer vision},
  language     = {eng},
  location     = {Prague, Czech Republic},
  pages        = {81--88},
  title        = {From deposit to point cloud: a study of low-cost computer vision approaches for the straightforward documentation of archaeological excavations},
  url          = {http://geoinformatics.fsv.cvut.cz/gwiki/Category:2011\_Volume\_6},
  volume       = {6},
  year         = {2011},
}

Chicago
Doneus, Michael, Geert Verhoeven, Martin Fera, Christian Briese, Matthias Kucera, and Wolfgang Neubauer. 2011. “From Deposit to Point Cloud: a Study of Low-cost Computer Vision Approaches for the Straightforward Documentation of Archaeological Excavations.” In Geoinformatics (faculty of Civil Engineering, Czech Technical University in Prague), ed. Karel Pavelka, 6:81–88.
APA
Doneus, M., Verhoeven, G., Fera, M., Briese, C., Kucera, M., & Neubauer, W. (2011). From deposit to point cloud: a study of low-cost computer vision approaches for the straightforward documentation of archaeological excavations. In K. Pavelka (Ed.), GEOINFORMATICS (FACULTY OF CIVIL ENGINEERING, CZECH TECHNICAL UNIVERSITY IN PRAGUE) (Vol. 6, pp. 81–88). Presented at the XXIIIrd International CIPA Symposium.
Vancouver
1.
Doneus M, Verhoeven G, Fera M, Briese C, Kucera M, Neubauer W. From deposit to point cloud: a study of low-cost computer vision approaches for the straightforward documentation of archaeological excavations. In: Pavelka K, editor. GEOINFORMATICS (FACULTY OF CIVIL ENGINEERING, CZECH TECHNICAL UNIVERSITY IN PRAGUE). 2011. p. 81–8.
MLA
Doneus, Michael, Geert Verhoeven, Martin Fera, et al. “From Deposit to Point Cloud: a Study of Low-cost Computer Vision Approaches for the Straightforward Documentation of Archaeological Excavations.” Geoinformatics (faculty of Civil Engineering, Czech Technical University in Prague). Ed. Karel Pavelka. Vol. 6. 2011. 81–88. Print.