2020
Journal article  Open Access

The use of saliency in underwater computer vision: a review

Reggiannini M., Moroni D.

Underwater computer vision  visual saliency  underwater computer vision  underwater image understanding  Multi-sensor survey  Visual saliency  Underwater image understanding  multi-sensor survey  [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]  General Earth and Planetary Sciences 

Underwater survey and inspection are tasks of paramount relevance for a variety of applications. They are usually performed through the employment of optical and acoustic sensors installed aboard underwater vehicles, in order to capture details of the surrounding environment. The informative properties of the data are systematically affected by a number of disturbing factors, such as the signal energy absorbed by the propagation medium or diverse noise categories contaminating the resulting imagery. Restoring the signal properties in order to exploit the carried information is typically a tough challenge. Visual saliency refers to the computational modeling of the preliminary perceptual stages of human vision, where the presence of conspicuous targets within a surveyed scene activates neurons of the visual cortex, specifically sensitive to meaningful visual variations. In relatively recent years, visual saliency has been exploited in the field of automated underwater exploration. This work provides a comprehensive overview of the computational methods implemented and applied in underwater computer vision tasks, based on the extraction of visual saliency-related features.

Source: Remote sensing (Basel) 13 (2020). doi:10.3390/rs13010022

Publisher: Molecular Diversity Preservation International, Basel


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BibTeX entry
@article{oai:it.cnr:prodotti:440224,
	title = {The use of saliency in underwater computer vision: a review},
	author = {Reggiannini M. and Moroni D.},
	publisher = {Molecular Diversity Preservation International, Basel  },
	doi = {10.3390/rs13010022},
	journal = {Remote sensing (Basel)},
	volume = {13},
	year = {2020}
}

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