FamFac - 一个著名面孔的数据库用于心理学实验
Fábio Monteiro1,2, Paulo Rodrigues3, Isabel M Santos2
1Center for Research in Neuropsychology and Cognitive Behavioral Intervention (CINEICC), Faculty of Psychology and Educational Sciences, University of Coimbra, Coimbra, Portugal. Universidade de Coimbra University of Coimbra Coimbra Portugal.
International journal of psychological research
|December 18, 2023
概括
研究人员创建了一个免费的数据库,包含183个著名的面孔,具有标准化的视觉特性和熟悉程度. 本资源旨在通过控制图像变化来减少面部处理研究中的偏见.
科学领域:
- 认知神经科学 认知神经科学
- 心理学 心理学 心理学
- 计算机视觉 计算机视觉
背景情况:
- 之前关于人脸识别的研究可能因低水平视觉特性 (例如亮度,分辨率) 和著名人脸的熟悉度水平的变化而存在偏差.
- 这些不受控制的变量可能会影响与事件相关的潜在 (ERP) 检测,并使熟悉和不熟悉的面部处理的解复杂化.
研究的目的:
- 开发一个自由可用的著名面孔的数据库,具有同质化的低级视觉特性和已确定的熟悉程度.
- 提供一个标准化资源,减轻面部感知研究中的混效应.
主要方法:
- 开发了一种定制算法来标准化图像亮度.
- 使用GIMP软件将图像大小和分辨率均化.
- 183个著名面孔的熟悉程度由48名葡萄牙大学生评估.
主要成果:
- 定制算法成功标准化了图像亮度,单个图像与平均值没有显著差异.
- 在数据集中,41张脸被确定为非常熟悉的.
- 该数据库为面部处理研究提供了一组受控的刺激.
结论:
- 开发的算法和数据库是免费的,为科学界提供了宝贵的资源.
- 这种标准化数据库有助于避免先前面部识别研究中存在的混因素.
- 该资源有助于对熟悉和不熟悉的面部识别神经机制进行更可靠的调查.
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