Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/91438
Title: Underwater photogrammetry reconstruction : GPU texture generation from videos captured via AUV
Authors: Yager, Kolton
Christopher, Clark
Gambin, Timmy
Wood, Zoe J.
Keywords: Photogrammetry -- Digital techniques
Autonomous underwater vehicles
Underwater archaeology
Image processing
Computer simulation
Shipwrecks -- Malta
Video recordings -- Data processing
Issue Date: 2019
Publisher: Springer
Citation: Yager, K., Clark, C., Gambin, T., & Wood, Z. J. (2019, October). Underwater photogrammetry reconstruction : GPU texture generation from videos captured via AUV. In International Symposium on Visual Computing (pp. 127-138). Springer, Cham.
Abstract: Photogrammetry is a useful tool for creating computer models of archaeological sites for monitoring and for general public outreach. Modeling archaeological sites found in the marine environment is particularly challenging due to danger to divers, the cost of underwater photography equipment and lighting challenges. The automatic acquisition of video footage of underwater marine archaeology sites using an AUV can be an advantageous alternative, yet also incurs its own obstacles. In this paper we present our system and enhancements for applying a standard photogrammetry reconstruction pipeline to underwater sites using video footage captured from an AUV. Our primary contribution is a GPU driven algorithm for texture construction to reduce blur in the final model. We demonstrate the results of our system on a well known wreck site in Malta
URI: https://www.um.edu.mt/library/oar/handle/123456789/91438
Appears in Collections:Scholarly Works - FacArtCA

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