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MR2:一个多种族、超高分辨率的面部刺激数据库。

The MR2: A multi-racial, mega-resolution database of facial stimuli.

作者信息

Strohminger Nina, Gray Kurt, Chituc Vladimir, Heffner Joseph, Schein Chelsea, Heagins Titus Brooks

机构信息

Kenan Institute for Ethics, Duke University, Durham, NC, USA.

Yale School of Management, Yale University, New Haven, CT, USA.

出版信息

Behav Res Methods. 2016 Sep;48(3):1197-204. doi: 10.3758/s13428-015-0641-9.

DOI:10.3758/s13428-015-0641-9
PMID:26311590
Abstract

Faces impart exhaustive information about their bearers, and are widely used as stimuli in psychological research. Yet many extant facial stimulus sets have substantially less detail than faces encountered in real life. In this paper, we describe a new database of facial stimuli, the Multi-Racial Mega-Resolution database (MR2). The MR2 includes 74 extremely high resolution images of European, African, and East Asian faces. This database provides a high-quality, diverse, naturalistic, and well-controlled facial image set for use in research. The MR2 is available under a Creative Commons license, and may be accessed online.

摘要

面部传达着有关其所有者的详尽信息,并且在心理学研究中被广泛用作刺激物。然而,许多现有的面部刺激集所包含的细节远少于现实生活中所遇到的面部。在本文中,我们描述了一个新的面部刺激数据库——多种族超高分辨率数据库(MR2)。MR2包含74张欧洲、非洲和东亚面孔的极高分辨率图像。该数据库为研究提供了一个高质量、多样化、自然且经过良好控制的面部图像集。MR2根据知识共享许可协议提供,可在线访问。

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