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Title: | Surface reconstruction of ancient water storage systems an approach for sparse 3D sonar scans and fused stereo images |
Authors: | Nelson, Erik A. Dunn, Ian T. Forrester, Jeffrey Gambin, Timmy Clark, Christopher M. Wood, Zoe J. |
Keywords: | Geometrical constructions Underwater surveillance Civilization, Ancient -- Computer simulation Water -- Storage -- History |
Issue Date: | 2014 |
Publisher: | Institute of Electrical and Electronics Engineers Inc. |
Citation: | Nelson, E. A., Dunn, I. T., Forrester, J., Gambin, T., Clark, C. M., & Wood, Z. J. (2014). Surface reconstruction of ancient water storage systems an approach for sparse 3D sonar scans and fused stereo images. 9th International Conference on Computer Graphics Theory and Applications, Lisbon. 161-168. |
Abstract: | This work presents a process pipeline that addresses the problem of reconstructing surfaces of underwater structures from stereo images and sonar scans collected with a micro-ROV on the islands of Malta and Gozo. Using a limited sensor load, sonar and small GoPro Hero2 cameras, the micro-ROV is able to explore water systems and gather data. As a preprocess to the reconstruction pipeline, a 3D evidence grid is created by mosaicing horizontal and vertical sonar scans. A volumetric representation is then constructed using a level set method. Fine-scale details from the scene are captured in stereo cameras, and are transformed into point clouds and projected into the volume. A raycasting technique is used to trim the volume in accordance with the projected point clouds, thus reintroducing fine details to the rough sonar-generated model. The resulting volume is surfaced, yielding a final mesh which can be viewed and interacted with for archaeological and educational purposes. Initial results from both steps of the reconstruction pipeline are presented and discussed. |
URI: | https://www.um.edu.mt/library/oar//handle/123456789/25833 |
Appears in Collections: | Scholarly Works - FacArtCA |
Files in This Item:
File | Description | Size | Format | |
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GRAPP_2014_69.pdf | 1.28 MB | Adobe PDF | View/Open |
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