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Calibration Techniques for Accurate Measurements by Underwater Camera Systems

Overview of attention for article published in Sensors (14248220), December 2015
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Title
Calibration Techniques for Accurate Measurements by Underwater Camera Systems
Published in
Sensors (14248220), December 2015
DOI 10.3390/s151229831
Pubmed ID
Authors

Mark Shortis

Abstract

Calibration of a camera system is essential to ensure that image measurements result in accurate estimates of locations and dimensions within the object space. In the underwater environment, the calibration must implicitly or explicitly model and compensate for the refractive effects of waterproof housings and the water medium. This paper reviews the different approaches to the calibration of underwater camera systems in theoretical and practical terms. The accuracy, reliability, validation and stability of underwater camera system calibration are also discussed. Samples of results from published reports are provided to demonstrate the range of possible accuracies for the measurements produced by underwater camera systems.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 <1%
Brazil 1 <1%
Unknown 101 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 21%
Researcher 19 18%
Student > Master 18 17%
Student > Bachelor 9 9%
Student > Doctoral Student 7 7%
Other 17 17%
Unknown 11 11%
Readers by discipline Count As %
Engineering 28 27%
Agricultural and Biological Sciences 18 17%
Environmental Science 15 15%
Computer Science 15 15%
Earth and Planetary Sciences 2 2%
Other 10 10%
Unknown 15 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 December 2015.
All research outputs
#5,720,850
of 6,697,548 outputs
Outputs from Sensors (14248220)
#1,816
of 2,216 outputs
Outputs of similar age
#227,064
of 281,300 outputs
Outputs of similar age from Sensors (14248220)
#120
of 131 outputs
Altmetric has tracked 6,697,548 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,216 research outputs from this source. They receive a mean Attention Score of 1.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 131 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.