This thesis represents the first dedicated study of the application of computational photography in marine science. It deals chiefly with the acquisition and use of photogrammetrically derived 3D organism models. The use of 3D models as 'virtual specimens' means that they may be securely archived and are accessible by anyone in any part of the world. Interactive 3D objects enhance learning by engaging the viewer in a participatory manner, and can help to clarify features that are unclear in photographs or diagrams. Measurements may be taken from these models for morphometric work, either manually or in an automated process. Digital 3D models permit the collection of novel metrics such as volume and surface area, which are very difficult to take by traditional means. These, and other metrics taken from 3D models, are a key step towards automating the species identification process. Where an organism changes over time, photogrammetry offers the ability to mathematically compare its shape before and after change. Sponge plasticity in response to stress and injury is quantified and visualised here for the first time. An array of networked underwater cameras was constructed for simultaneous capture of image sets. The philosophy of adapting simple, cheap consumer hardware is continued for the imaging and quantification of marine particulates. A restricted light field imaging system is described, together with techniques for image processing and data extraction. The techniques described are shown to be as effective as traditional instruments and methods for particulate measurement. The array cameras used a novel epoxy encapsulation technique which offers significant weight and cost advantages when compared to traditional metal pressure housings. It is also described here applied to standalone autonomous marine cameras. A fully synchronised autonomous in situ photogrammetry array is now possible. This will permit the non-invasive archiving and examination of organisms that may be damaged by recovery to the surface.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:731602 |
| Date | January 2017 |
| Creators | Scott-Murray, Amy |
| Publisher | University of Aberdeen |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Source | http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=233937 |
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