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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Calibration Techniques for Accurate Measurements by Underwater Camera Systems
|
|---|---|
| Published in |
Sensors, 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. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 141 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 | 139 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 20% |
| Researcher | 25 | 18% |
| Student > Master | 20 | 14% |
| Student > Bachelor | 13 | 9% |
| Student > Doctoral Student | 9 | 6% |
| Other | 20 | 14% |
| Unknown | 26 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 33 | 23% |
| Environmental Science | 21 | 15% |
| Agricultural and Biological Sciences | 20 | 14% |
| Computer Science | 18 | 13% |
| Earth and Planetary Sciences | 4 | 3% |
| Other | 11 | 8% |
| Unknown | 34 | 24% |
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
#22,759,802
of 25,374,647 outputs
Outputs from Sensors
#16,639
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Outputs of similar age
#337,648
of 395,324 outputs
Outputs of similar age from Sensors
#134
of 179 outputs
Altmetric has tracked 25,374,647 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 24,303 research outputs from this source. They receive a mean Attention Score of 3.1. 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 179 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.