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人脸识别中的三维信息:一项眼动追踪研究。

Three-dimensional information in face recognition: an eye-tracking study.

作者信息

Chelnokova Olga, Laeng Bruno

机构信息

Department of Psychology, University of Oslo, Norway.

出版信息

J Vis. 2011 Nov 30;11(13):27. doi: 10.1167/11.13.27.

Abstract

One unresolved question about face perception is: what is the role of three-dimensional information in face recognition? In this study, recognition performance was compared across changes in viewpoint in different depth conditions: a 2D condition without stereo information and a 3D condition where stereo information was present (by viewing the same face images as anaglyphs through 3D glasses). Subjects' eye movements were recorded during both 3D and 2D sessions. The findings revealed that participants were more accurate in the 3D condition. Moreover, individual differences in interpupillary distance predicted recognition performance in the 3D but not in the 2D condition. A "region of interest" analysis of gaze data showed that rich volumetric properties provided by certain facial features (e.g., the nose and the cheeks) were attended more in the 3D condition compared to the 2D condition. Taken together, these findings support the conclusion that face recognition across viewpoint transformation is facilitated by the addition of stereoscopic depth cues.

摘要

关于面部感知的一个未解决的问题是

三维信息在人脸识别中起什么作用?在本研究中,比较了不同深度条件下视角变化时的识别性能:一种是没有立体信息的二维条件,另一种是存在立体信息的三维条件(通过3D眼镜将相同的面部图像视为互补色立体图来观察)。在三维和二维实验过程中记录了受试者的眼动。研究结果表明,参与者在三维条件下的识别更准确。此外,瞳孔间距的个体差异预测了三维条件下的识别性能,而在二维条件下则不然。对注视数据的“感兴趣区域”分析表明,与二维条件相比,某些面部特征(如鼻子和脸颊)提供的丰富体积特性在三维条件下得到了更多关注。综上所述,这些发现支持了这样的结论,即立体深度线索的添加有助于跨视角变换的人脸识别。

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