| Title |
Review and analysis of solutions of the three point perspective pose estimation problem
|
|---|---|
| Published in |
International Journal of Computer Vision, December 1994
|
| DOI | 10.1007/bf02028352 |
| Authors |
Bert M. Haralick, Chung-Nan Lee, Karsten Ottenberg, Michael Nölle |
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 % |
|---|---|---|
| Czechia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 191 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 3% |
| France | 3 | 2% |
| Switzerland | 3 | 2% |
| Spain | 3 | 2% |
| Germany | 2 | 1% |
| United Kingdom | 2 | 1% |
| Canada | 2 | 1% |
| Brazil | 1 | <1% |
| Austria | 1 | <1% |
| Other | 4 | 2% |
| Unknown | 165 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 53 | 28% |
| Researcher | 35 | 18% |
| Student > Master | 35 | 18% |
| Professor | 9 | 5% |
| Student > Doctoral Student | 8 | 4% |
| Other | 20 | 10% |
| Unknown | 31 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 77 | 40% |
| Engineering | 66 | 35% |
| Medicine and Dentistry | 3 | 2% |
| Neuroscience | 2 | 1% |
| Psychology | 1 | <1% |
| Other | 5 | 3% |
| Unknown | 37 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 15 May 2024.
All research outputs
#3,513,847
of 25,913,612 outputs
Outputs from International Journal of Computer Vision
#117
of 1,457 outputs
Outputs of similar age
#3,110
of 76,512 outputs
Outputs of similar age from International Journal of Computer Vision
#1
of 5 outputs
Altmetric has tracked 25,913,612 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,457 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 91% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 76,512 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them