High-resolution underwater robotic vision-based mapping and three-dimensional reconstruction for archaeology

Johnson-Roberson, Matthew; Bryson, Mitch; Friedman, Ariell; Pizarro, Oscar; Troni, Giancarlo; Ozog, Paul; Henderson, Jon C.

Abstract

Documenting underwater archaeological sites is an extremely challenging problem. Sites covering large areas are particularly daunting for traditional techniques. In this paper, we present a novel approach to this problem using both an autonomous underwater vehicle (AUV) and a diver-controlled stereo imaging platform to document the submerged Bronze Age city at Pavlopetri, Greece. The result is a three-dimensional (3D) reconstruction covering 26,600 m2 at a resolution of 2 mm/pixel, the largest-scale underwater optical 3D map, at such a resolution, in the world to date. We discuss the advances necessary to achieve this result, including i) an approach to color correct large numbers of images at varying altitudes and over varying bottom types; ii) a large-scale bundle adjustment framework that is capable of handling upward of 400,000 stereo images; and iii) a novel approach to the registration and rapid documentation of an underwater excavations area that can quickly produce maps of site change. We present visual and quantitative comparisons to the authors' previous underwater mapping approaches.

Citation

Johnson-Roberson, M., Bryson, M., Friedman, A., Pizarro, O., Troni, G., Ozog, P., & Henderson, J. C. (in press). High-resolution underwater robotic vision-based mapping and three-dimensional reconstruction for archaeology. Journal of Field Robotics, https://doi.org/10.1002/rob.21658

• Journal Article Type: Article
• Acceptance Date: Dec 13, 2015
• Online Publication Date: Jul 4, 2016
• Deposit Date: Jul 19, 2016
• Publicly Available Date: Jul 19, 2016
• Journal: Journal of Field Robotics
• Print ISSN: 1556-4959
• Electronic ISSN: 1556-4967
• Publisher: Wiley
• Peer Reviewed: Peer Reviewed
• DOI: https://doi.org/10.1002/rob.21658
• Public URL: https://nottingham-repository.worktribe.com/output/802422
• Publisher URL: http://onlinelibrary.wiley.com/doi/10.1002/rob.21658/abstract
• Additional Information: This is the peer reviewed version of the following article: Johnson-Roberson, M., Bryson, M., Friedman, A., Pizarro, O., Troni, G., Ozog, P. and Henderson, J. C. (2016), High-Resolution Underwater Robotic Vision-Based Mapping and Three-Dimensional Reconstruction for Archaeology. J. Field Robotics, which has been published in final form at http://dx.doi.org/10.1002/rob.21658. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
• Contract Date: Jul 19, 2016