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Argo is an unmanned deep-towed undersea video camera sled developed by Dr. Robert Ballard through Woods Hole Oceanographic Institute's Deep Submergence Laboratory. Argo is most famous for its role in the discovery of the wreck of the RMS Titanic in 1985.
Sediment Profile Imagery (SPI) is an underwater technique for photographing the interface between the seabed and the overlying water. The technique is used to measure or estimate biological, chemical, and physical processes occurring in the first few centimetres of sediment, pore water, and the important benthic boundary layer of water.
A great white shark in Scituate was recently captured in a too-close-for-comfort video coming snout to lens with an underwater camera operated by the Cape-based Atlantic White Shark Conservancy.
Large unwieldy lighting systems were problematic to early underwater videography. And last, underwater objects viewed from an airspace with a flat window, such as the eye inside a mask or the camera inside a housing, appear to be about 25% larger than they are. The photographer needs to move farther back to get the subject into the field of view.
Underwater housings for smartphones are available with a variety of depth ratings and features. These can be less expensive than dedicated underwater photography cameras. The simplest form is a waterproof pouch, best used for shallow-water photography. [6] Some smartphone housings are limited by operating system.
Three main camouflage methods predominate in the oceans: transparency, [5] reflection, and counterillumination. [6] [1] Transparency and reflectivity are most important in the top 100 metres of the ocean; counterillumination is the main method from 100 metres down to 1000 metres; while camouflage becomes less important in the dark waters below 1000 metres. [6]
Baited remote underwater video (BRUV) is a system used in marine biology research. By attracting fish into the field of view of a remotely controlled camera, the technique records fish diversity , abundance and behaviour of species.
Underwater computer vision is a subfield of computer vision. In recent years, with the development of underwater vehicles ( ROV, AUV, gliders), the need to be able to record and process huge amounts of information has become increasingly important. Applications range from inspection of underwater structures for the offshore industry to the ...