| Title |
InterFace: A software package for face image warping, averaging, and principal components analysis
|
|---|---|
| Published in |
Behavior Research Methods, December 2016
|
| DOI | 10.3758/s13428-016-0837-7 |
| Pubmed ID | |
| Authors |
Robin S. S. Kramer, Rob Jenkins, A. Mike Burton |
| Abstract |
We describe InterFace, a software package for research in face recognition. The package supports image warping, reshaping, averaging of multiple face images, and morphing between faces. It also supports principal components analysis (PCA) of face images, along with tools for exploring the "face space" produced by PCA. The package uses a simple graphical user interface, allowing users to perform these sophisticated image manipulations without any need for programming knowledge. The program is available for download in the form of an app, which requires that users also have access to the (freely available) MATLAB Runtime environment. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 25% |
| Spain | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 70 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 17 | 24% |
| Researcher | 9 | 13% |
| Student > Ph. D. Student | 7 | 10% |
| Student > Postgraduate | 5 | 7% |
| Professor > Associate Professor | 4 | 6% |
| Other | 16 | 23% |
| Unknown | 12 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 37 | 53% |
| Medicine and Dentistry | 4 | 6% |
| Neuroscience | 4 | 6% |
| Computer Science | 4 | 6% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 3 | 4% |
| Unknown | 16 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 19 May 2019.
All research outputs
#15,168,964
of 25,373,627 outputs
Outputs from Behavior Research Methods
#1,364
of 2,525 outputs
Outputs of similar age
#224,036
of 420,170 outputs
Outputs of similar age from Behavior Research Methods
#8
of 28 outputs
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So far Altmetric has tracked 2,525 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
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We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.