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年龄相关性黄斑病变中的面部识别。

Face recognition in age-related maculopathy.

作者信息

Bullimore M A, Bailey I L, Wacker R T

机构信息

University of California, School of Optometry, Berkeley 94720.

出版信息

Invest Ophthalmol Vis Sci. 1991 Jun;32(7):2020-9.

PMID:2055696
Abstract

Patients with age-related maculopathy (ARM) complain frequently of difficulty with face recognition. The authors attempted to quantify the level of impairment by comparing face recognition with clinical tests of visual function, namely contrast sensitivity, grating acuity, letter-chart acuity, and word-reading acuity. For face recognition, we used 32 black-and-white photographs that had been cropped to remove the outline of hair so that identification was predominantly dependent on the facial features. The observer's distance from the screen on which the photographs were projected was varied. The angular size of the faces was indicated by the equivalent viewing distance (EVD). Four male and four female models were used, and for each model, there were four photographs with different facial expressions--happy, sad, angry, and afraid. For each photograph, the subject's task was to name the model and identify the facial expression. Threshold EVD (50%) was determined for correct identity recognition and expression recognition. For eight subjects all experimental procedures were repeated at a lower luminance level. For ARM subjects, increasing task complexity (grating/letters/words) substantially decreased resolution. Face-recognition abilities were most closely related to word-reading acuity when comparisons were made either across subjects or across luminances within subjects. Contrast sensitivity was associated poorly with face-recognition thresholds. In some subjects with more advanced ARM, identity recognition was substantially poorer than expression recognition.

摘要

年龄相关性黄斑病变(ARM)患者经常抱怨人脸识别困难。作者试图通过将人脸识别与视觉功能的临床测试进行比较来量化损伤程度,这些临床测试包括对比敏感度、光栅视力、字母表视力和单词阅读视力。对于人脸识别,我们使用了32张黑白照片,这些照片经过裁剪以去除头发轮廓,以便识别主要依赖于面部特征。观察者与投射照片的屏幕之间的距离是变化的。面部的角大小由等效观察距离(EVD)表示。使用了四名男性和四名女性模特,对于每个模特,有四张具有不同面部表情的照片——高兴、悲伤、愤怒和恐惧。对于每张照片,受试者的任务是说出模特的名字并识别面部表情。确定正确身份识别和表情识别的阈值EVD(50%)。对于八名受试者,所有实验程序都在较低亮度水平下重复进行。对于ARM受试者,任务复杂性增加(光栅/字母/单词)会显著降低分辨率。当在受试者之间或受试者内的不同亮度之间进行比较时,人脸识别能力与单词阅读视力最密切相关。对比敏感度与人脸识别阈值的相关性较差。在一些患有更晚期ARM的受试者中,身份识别明显比表情识别差。

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