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三维信息在人脸识别中的应用。

The use of 3D information in face recognition.

作者信息

Liu Chang Hong, Ward James

机构信息

Department of Psychology, University of Hull, Cottingham Road, Hull, HU6 7RX, UK.

出版信息

Vision Res. 2006 Mar;46(6-7):768-73. doi: 10.1016/j.visres.2005.10.008. Epub 2005 Nov 18.

Abstract

Effects of shading in face recognition have often alluded to 3D shape processing. However, research to date has failed to demonstrate any use of important 3D information. Stereopsis adds no advantage in face encoding [Liu, C. H., Ward, J., & Young, A. W. (in press). Transfer between 2D and 3D representations of faces. Visual Cognition], and perspective transformation impairs rather than assists recognition performance [Liu, C. H. (2003). Is face recognition in pictures affected by the center of projection? In IEEE international workshop on analysis and modeling of faces and gestures (pp. 53-59). Nice, France: IEEE Computer Society]. Although evidence tends to rule out involvement of 3D information in face processing, it remains possible that the usefulness of this information depends on certain combinations of cues. We tested this hypothesis in a recognition task, where face stimuli with several levels of perspective transformation were either presented in stereo or without stereo. We found that even at a moderate level of perspective transformation where training and test faces were separated by just 30 cm, the stereo condition produced better performance. This provides the first evidence that stereo information can facilitate face recognition. We conclude that 3D information plays a role in face processing but only when certain types of 3D cues are properly combined.

摘要

面部识别中阴影的影响常常涉及三维形状处理。然而,迄今为止的研究未能证明任何重要三维信息的用途。立体视觉在面部编码中没有优势[刘,C.H.,沃德,J.,&杨,A.W.(即将出版)。面部二维和三维表示之间的转换。视觉认知],而透视变换损害而非辅助识别性能[刘,C.H.(2003年)。图片中的面部识别是否受投影中心影响?在IEEE国际面部和手势分析与建模研讨会上(第53 - 59页)。法国尼斯:IEEE计算机学会]。尽管有证据倾向于排除三维信息参与面部处理,但该信息的有用性仍可能取决于某些线索组合。我们在一项识别任务中测试了这一假设,其中具有不同透视变换水平的面部刺激要么以立体形式呈现,要么不以立体形式呈现。我们发现,即使在透视变换程度适中(训练和测试面部仅相隔30厘米)的情况下,立体条件下的表现也更好。这首次证明了立体信息可以促进面部识别。我们得出结论,三维信息在面部处理中发挥作用,但前提是某些类型的三维线索得到恰当组合。

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