Face Recognition from Unconstrained Images: Progress with Prototypes
Face Recognition from Unconstrained Images: Progress with Prototypes
复制标题
无约束图像的人脸识别：原型的进展
DOI：
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发表时间：
2006
期刊：
影响因子：
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通讯作者：
D. White
中科院分区：
文献类型：
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作者：
R. Jenkins;A. Burton;D. White
人工面部识别系统通常不尝试处理非常可变的图像。相比之下，人类感知者可以在更多样化的条件下识别熟悉的面孔。我们描述了一个原型的人脸表示基于简单的图像平均。我们认为，这是理解人类面部感知的一个很好的候选人。在这里，我们通过询问（i）它们收敛的速度有多快;以及（U）它们对由于先前的错误识别而造成的污染的抵抗力有多大来检查这些表示的稳定性。我们的结论是，人脸平均值提供了很有前途的代表性，用于人工识别
Artificial face recognition systems typically do not attempt to handle very variable images. By comparison, human perceivers can recognize familiar faces over much more varied conditions. We describe a prototype face representation based on simple image-averaging. We have argued that this forms a good candidate for understanding human face perception. Here we examine the stability of these representations by asking (i) how quickly they converge; and (U) how resistant they are to contamination due to previous misidentifications. We conclude that face averages provide promising representations for use in artificial recognition