Multi-image photogrammetry as a practical tool for cultural heritage survey and community engagement

Abstract Multi-image photogrammetry is rapidly emerging as an important archaeological tool due in large part to the increasing level of automation in off the shelf software. The technique can offer significant reductions in the cost of archaeological survey and in the enhancement of survey results and is of particular value therefore to archaeologists working in contract-led context, which in many areas accounts for the majority of archaeological work (up to 80% in Scotland for example). Recent advances in multi-image photogrammetric software have resulted in highly automated workflows and significantly reduced the burden of technical knowledge required to produce survey results of an acceptable standard. Although the majority of multi-image photogrammetry surveys are still undertaken in an academic context the technique is increasingly being used by a far wider proportion of heritage professionals, many of whom are not first and foremost specialists in photogrammetry. The adoption of such highly automated workflows presents certain risks with regard to accuracy and reliability of results as noted by Remondino et al. (2012, 52). However the enormous potential of the technique for rapid and accurate survey and for reduced costs cannot be ignored and the challenge we face is to ensure that the highly automated workflows adopted by archaeologists in contract-led contexts are robust and reliable and underpinned by guidance and knowledge exchange. This paper is not intended as a comprehensive technical review of the technical aspects of the technique or of its development but instead focusses on highlighting its potential as a practical everyday tool for archaeological practitioners to apply in two of the main types of contract-led archaeological work, rapid survey and community engagement. A non-technical overview of the technique is given followed by case studies illustrating how the technique has been applied successfully in a non-academic contract-led and community engagement context. These surveys have been undertaken with very limited budgets for both survey and post-processing of data and typically with very limited time frames. In each case study, use of multi-image photogrammetry has allowed for better, faster and more cost-effective results than would otherwise have been possible. Case studies include a survey of an Iron Age fort, a rapid survey of exposed segments of an intertidal wreck, both commissioned for heritage management purposes and a community survey of a 17th century gravestone undertaken by children under the age of 16. Finally the obstacles to wider adoption in the contract-led sector are discussed and it is argued that a concerted approach is required to create and disseminate simple and reliable workflows.

[1]  Pascal Barla,et al.  Enhancing surface features with the Radiance Scaling Meshlab Plugin , 2011 .

[2]  Richard Szeliski,et al.  Computer Vision - Algorithms and Applications , 2011, Texts in Computer Science.

[3]  Jean Bourgeois,et al.  THE DETERIORATING PRESERVATION OF THE ALTAI ROCK ART: ASSESSING THREE-DIMENSIONAL IMAGE-BASED MODELLING IN ROCK ART RESEARCH AND MANAGEMENT , 2012 .

[4]  Steven M. Seitz,et al.  Multicore bundle adjustment , 2011, CVPR 2011.

[5]  Anestis Koutsoudis,et al.  Performance Evaluation of a Multi-Image 3D Reconstruction Software on a Low-Feature Artefact , 2013 .

[6]  David G. Lowe,et al.  Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[7]  Philippe De Smedt,et al.  On introducing an image-based 3D reconstruction method in archaeological excavation practice , 2014 .

[8]  Maarten Vergauwen,et al.  Web-based 3D Reconstruction Service , 2006, Machine Vision and Applications.

[9]  Geert Verhoeven,et al.  Taking computer vision aloft – archaeological three‐dimensional reconstructions from aerial photographs with photoscan , 2011 .

[10]  Fabio Remondino,et al.  Photogrammetric Reconstruction of the Great Buddha of Bamiyan, Afghanistan , 2004 .

[11]  Gianfranco Forlani,et al.  PERFORMANCE EVALUATION OF A STRUCTURE AND MOTION STRATEGY IN ARCHITECTURE AND CULTURAL HERITAGE , 2012 .

[12]  P. Bryana,et al.  COST-EFFECTIVE ROCK-ART RECORDING WITHIN A NON-SPECIALIST ENVIRONMENT , 2008 .

[13]  Paul Bryan,et al.  Surveying Stonehenge By Photogrammetry , 1997 .

[14]  Birger Stichelbaut,et al.  Three-dimensional recording of archaeological remains in the Altai Mountains , 2012, Antiquity.

[15]  John G. Fryer,et al.  Non-invasive three-dimensional recording of aboriginal rock art using cost-effective digital photogrammetry , 2005 .

[16]  Jean Ponce,et al.  Accurate, Dense, and Robust Multiview Stereopsis , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[17]  Pascal Barla,et al.  Radiance Scaling for versatile surface enhancement , 2010, I3D '10.

[18]  Frank Vermeulen,et al.  Mapping by matching: a computer vision-based approach to fast and accurate georeferencing of archaeological aerial photographs , 2012 .

[19]  Thomas P. Kersten,et al.  Low-Cost and Open-Source Solutions for Automated Image Orientation - A Critical Overview , 2012, EuroMed.

[20]  Daniel Carneiro da Silva.  Special Applications of Photogrammetry , 2012 .

[21]  Ilan Shimshoni,et al.  Computer-based, automatic recording and illustration of complex archaeological artifacts , 2013 .

[22]  Jamie Quartermaine,et al.  The Tel Akko Total Archaeology Project (Akko, Israel): Assessing the suitability of multi-scale 3D field recording in archaeology , 2013 .

[23]  Mathieu Brédif,et al.  AN ACCURACY ASSESSMENT OF AUTOMATED PHOTOGRAMMETRIC TECHNIQUES FOR 3D MODELING OF COMPLEX INTERIORS , 2012 .

[24]  Colin Richards,et al.  Stonehenge laser scan: archaeological analysis report , 2012 .

[25]  Philippe De Smedt,et al.  Towards a three-dimensional cost-effective registration of the archaeological heritage , 2013 .

[26]  Benjamin Ducke,et al.  Multiview 3D reconstruction of the archaeological site at Weymouth from image series , 2011, Comput. Graph..

[27]  Livio De Luca,et al.  Automated Image-Based Procedures for Accurate Artifacts 3D Modeling and Orthoimage Generation , 2011 .

[28]  David L. Andrews,et al.  Metric Survey Specifications for Cultural Heritage , 2015 .

[29]  Pierre Drap,et al.  Underwater Photogrammetry for Archaeology , 2012 .

[30]  Karina Rodriguez-Echavarria,et al.  Enabling Users to Create and Document 3D Content for Heritage , 2009, 2009 Computation World: Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns.