A Review of Underwater Stereo-Image Measurement for Marine Biology and Ecology Applications
By Mark Shortis, Euan Harvey, D. Abdo. 2009
153 citations recorded by the source corpus.
Subfields: Ecology, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/e1b1280a468a5dadfdf7abbe0fea107424673ee4
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In Ecology
In Water Science and Technology
Citations in the corpus
- A review of techniques for the identification and measurement of fish in underwater stereo-video image sequences (2013, background): “Underwater stereo systems are widely used to capture videos of swimming fish for subsequent measurement (Shortis et al. 2009).”
- Sea-Thru: A Method for Removing Water From Underwater Images (2019, background): “, [7, 9, 35, 54]), which requires the use of two synchronized cameras, and a straightforward in-water calibration before imaging survey begins.”
- Research Priorities to Support Effective Manta and Devil Ray Conservation (2018, unknown): “stereo-video photogrammetry (Shortis et al., 2009) (Figure 2).”
- Cost-efficient sampling of fish assemblages: comparison of baited video stations and diver video transects (2010, background): “Stereo-video techniques are particularly useful for horizontally facing baited video stations (Harvey et al. 2007, Stobart et al. 2007, Shortis et al. 2009) as they can obtain accurate estimates of fish length and define the area of the sampling unit by measurement of the distance to the cameras…”
- Emerging From Water: Underwater Image Color Correction Based on Weakly Supervised Color Transfer (2017, background): “However, color is extremely important for underwater vision tasks and research [2].”
- A comparison of visual‐ and stereo‐video based fish community assessment methods in tropical and temperate marine waters of Western Australia (2013, background): “…water fish assemblages in more recent times (e.g., Bortone et al. 1991; Parker et al. 1994; Moser et al. 1998), and the continued development of camera technology has enabled rapid advances in these techniques (e.g., image resolution, storage capacity, software capabilities; Shortis et al. 2009).”