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Quasi-orthorectified projection for the measurement of red gorgonian colonies

Academic Article
Publication Date:
2018
abstract:
This study presents a practical method to estimate dimensions of Paramuricea clavata colonies using generic photographic datasets collected across wide areas. Paramuricea clavata is a non-rigid, tree-like octocoral; this morphology greatly affects the quality of the sea fans multi-view stereo matching reconstruction, resulting in hazy and incoherent clouds, full of "false" points with random orientation. Therefore, the standard procedure to take measurements over a reconstructed textured surface in 3D space is impractical. Our method overcomes this problem by using quasi-orthorectified images, produced by projecting registered photos on the plane that best fits the point cloud of the colony. The assessments of the measures collected have been performed comparing ground truth data set and time series images of the same set of colonies. The measurement errors fall below the requirements for this type of ecological observations. Compared to previous works, the presented method does not require a detailed reconstruction of individual colonies, but relies on a global multi-view stereo reconstruction performed through a comprehensive photographic coverage of the area of interest, using a low-cost pre-calibrated camera. This approach drastically reduces the time spent working on the field, helping practitioners and scientists in improving efficiency and accuracy in their monitoring plans.
Iris type:
01.01 Articolo in rivista
Keywords:
Ecological monitoring; Paramuricea clavata; Multi-view stereo survey; Underwater 3D Measurements
List of contributors:
Pavoni, Gaia; Callieri, Marco; Dellepiane, Matteo; Scopigno, Roberto
Authors of the University:
CALLIERI MARCO
PAVONI GAIA
SCOPIGNO ROBERTO
Handle:
https://iris.cnr.it/handle/20.500.14243/353105
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/353105/9532/prod_392694-doc_135770.pdf
Published in:
INTERNATIONAL ARCHIVES OF THE PHOTOGRAMMETRY, REMOTE SENSING AND SPATIAL INFORMATION SCIENCES
Journal
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URL

https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2/853/2018/
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