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首页> 外文期刊>Vision Research: An International Journal in Visual Science >The shape of the face template: Geometric distortions of faces and their detection in natural scenes
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The shape of the face template: Geometric distortions of faces and their detection in natural scenes

机译:人脸模板的形状:人脸的几何变形及其在自然场景中的检测

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摘要

Human face detection might be driven by skin-coloured face-shaped templates. To explore this idea, this study compared the detection of faces for which the natural height-to-width ratios were preserved with distorted faces that were stretched vertically or horizontally. The impact of stretching on detection performance was not obvious when faces were equated to their unstretched counterparts in terms of their height or width dimension (Experiment 1). However, stretching impaired detection when the original and distorted faces were matched for their surface area (Experiment 2), and this was found with both vertically and horizontally stretched faces (Experiment 3). This effect was evident in accuracy, response times, and also observers' eye movements to faces. These findings demonstrate that height-to-width ratios are an important component of the cognitive template for face detection. The results also highlight important differences between face detection and face recognition. (C) 2015 Elsevier Ltd. All rights reserved.
机译:人脸检测可能是由肤色脸部模板驱动的。为了探索这个想法,本研究将保留自然高宽比的人脸与垂直或水平拉伸的变形人脸的检测结果进行了比较。当脸部的高度或宽度尺寸等于未拉伸的对应部分时,拉伸对检测性能的影响并不明显(实验1)。但是,当原始和变形的面孔的表面积匹配时,拉伸会削弱检测(实验2),而在垂直和水平拉伸的面孔中都会发现(实验3)。这种效果在准确性,响应时间以及观察者对面部的眼睛移动方面都显而易见。这些发现表明,高宽比是用于面部检测的认知模板的重要组成部分。结果还突出了人脸检测和人脸识别之间的重要区别。 (C)2015 Elsevier Ltd.保留所有权利。

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