InterFace: A software package for face image warping, averaging, and principal components analysis

被引：38
|
作者：
Kramer, Robin S. S. [1 ]
Jenkins, Rob [1 ]
Burton, A. Mike [1 ]
机构：
[1] Univ York, Dept Psychol, York YO10 5DD, N Yorkshire, England
来源：
BEHAVIOR RESEARCH METHODS | 2017年 / 49卷 / 06期
基金：
欧洲研究理事会; 英国经济与社会研究理事会;
关键词：
Face processing; Morphing; Principal components analysis; RECOGNITION ALGORITHMS; REPRESENTATIONS; PERCEPTION; SPACE; RACE; SIMILARITY; DIFFERENCE; MODEL; SHAPE;
D O I：
10.3758/s13428-016-0837-7
中图分类号：
B841 [心理学研究方法];
学科分类号：
040201 ;
摘要：
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.
引用
收藏
页码：2002 / 2011
页数：10
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