The surprisingly high human efficiency at learning to recognize faces
نویسندگان
چکیده
منابع مشابه
The surprisingly high human efficiency at learning to recognize faces
We investigated the ability of humans to optimize face recognition performance through rapid learning of individual relevant features. We created artificial faces with discriminating visual information heavily concentrated in single features (nose, eyes, chin or mouth). In each of 2500 learning blocks a feature was randomly selected and retained over the course of four trials, during which obse...
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Studies in neuroscience suggest that both global and local feature information are crucial for perception and recognition of faces. It is widely believed that local feature is less sensitive to variations caused by illumination, expression and illumination. In this paper, we target at designing and learning local features for face recognition. We designed three types of local features. They are...
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ژورنال
عنوان ژورنال: Vision Research
سال: 2009
ISSN: 0042-6989
DOI: 10.1016/j.visres.2008.10.014