Quasi-orthorectified projection for the measurement of red gorgonian colonies
Pavoni G., Palma M., Callieri M., Dellepiane M., Cerrano C., Pantaleo U., Scopigno R.
Underwater 3D Measurements Ecological monitoring Multi-view stereo survey Paramuricea clavata
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.
Source: The international archives of the photogrammetry, remote sensing and spatial information sciences (Print) 42 (2018): 853–860. doi:10.5194/isprs-archives-XLII-2-853-2018
Publisher: ISPRS Council., [London]
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@article{oai:it.cnr:prodotti:392694,
title = {Quasi-orthorectified projection for the measurement of red gorgonian colonies},
author = {Pavoni G. and Palma M. and Callieri M. and Dellepiane M. and Cerrano C. and Pantaleo U. and Scopigno R.},
publisher = {ISPRS Council., [London]},
doi = {10.5194/isprs-archives-xlii-2-853-2018},
journal = {The international archives of the photogrammetry, remote sensing and spatial information sciences (Print)},
volume = {42},
pages = {853–860},
year = {2018}
}
0000-0002-5832-680X