Measuring reef complexity and rugosity from monocular video bathymetric reconstruction

He, Hu, Ferrari, Renata, McKinnon, David, Roff, George, Mumby, Peter, Smith, Ryan, & Upcroft, Ben (2012) Measuring reef complexity and rugosity from monocular video bathymetric reconstruction. In Proceedings of the 12th International Coral Reef Symposium, James Cook University, Cairns, Australia, pp. 1-5.

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Topographic structural complexity of a reef is highly correlated to coral growth rates, coral cover and overall levels of biodiversity, and is therefore integral in determining ecological processes. Modeling these processes commonly includes measures of rugosity obtained from a wide range of different survey techniques that often fail to capture rugosity at different spatial scales. Here we show that accurate estimates of rugosity can be obtained from video footage captured using underwater video cameras (i.e., monocular video). To demonstrate the accuracy of our method, we compared the results to in situ measurements of a 2m x 20m area of forereef from Glovers Reef atoll in Belize. Sequential pairs of images were used to compute fine scale bathymetric reconstructions of the reef substrate from which precise measurements of rugosity and reef topographic structural complexity can be derived across multiple spatial scales. To achieve accurate bathymetric reconstructions from uncalibrated monocular video, the position of the camera for each image in the video sequence and the intrinsic parameters (e.g., focal length) must be computed simultaneously. We show that these parameters can be often determined when the data exhibits parallax-type motion, and that rugosity and reef complexity can be accurately computed from existing video sequences taken from any type of underwater camera from any reef habitat or location. This technique provides an infinite array of possibilities for future coral reef research by providing a cost-effective and automated method of determining structural complexity and rugosity in both new and historical video surveys of coral reefs.

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ID Code: 52839
Item Type: Conference Paper
Refereed: Yes
Keywords: Coral Reef, 3D reconstruction, Monocular video, Structural Complexity
ISBN: 978-0-9808572-5-2
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > MARITIME ENGINEERING (091100)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2012 (please consult the authors).
Deposited On: 31 Jul 2012 02:50
Last Modified: 01 Aug 2012 23:31

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