首页> 美国卫生研究院文献>other >Familiar Face Detection in 180ms
【2h】

Familiar Face Detection in 180ms

机译:180ms熟悉的人脸检测

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

The visual system is tuned for rapid detection of faces, with the fastest choice saccade to a face at 100ms. Familiar faces have a more robust representation than do unfamiliar faces, and are detected faster in the absence of awareness and with reduced attentional resources. Faces of family and close friends become familiar over a protracted period involving learning the unique visual appearance, including a view-invariant representation, as well as person knowledge. We investigated the effect of personal familiarity on the earliest stages of face processing by using a saccadic-choice task to measure how fast familiar face detection can happen. Subjects made correct and reliable saccades to familiar faces when unfamiliar faces were distractors at 180ms—very rapid saccades that are 30 to 70ms earlier than the earliest evoked potential modulated by familiarity. By contrast, accuracy of saccades to unfamiliar faces with familiar faces as distractors did not exceed chance. Saccades to faces with object distractors were even faster (110 to 120 ms) and equivalent for familiar and unfamiliar faces, indicating that familiarity does not affect ultra-rapid saccades. We propose that detectors of diagnostic facial features for familiar faces develop in visual cortices through learning and allow rapid detection that precedes explicit recognition of identity.
机译:视觉系统经过调整,可快速检测到面部,并以最快的速度扫视到100ms的面部。熟悉的面孔比不熟悉的面孔具有更强健的表现力,并且在缺乏意识和注意力资源减少的情况下可以更快地被检测到。在一段较长的时期内,家人和密友的面孔变得熟悉起来,涉及到学习独特的视觉外观,包括视野不变的表示以及人的知识。我们通过使用临时选择任务来测量熟悉的面部检测的发生速度,研究了个人熟悉度对面部处理最早阶段的影响。当不熟悉的面孔在180毫秒时会分散注意力时,受试者会对熟悉的面孔做出正确而可靠的扫视,这比由熟悉度调制的最早诱发电位要早30到70毫秒。相比之下,扫视对不熟悉的面孔和熟悉的面孔(作为干扰因素)的准确性不会超过偶然性。带有物体干扰物的人脸扫视甚至更快(110到120毫秒),对于熟悉和不熟悉的人脸来说,扫视速度更快,这表明熟悉度不会影响超快速扫视。我们建议通过学习在视觉皮层中发展出用于熟悉面孔的诊断性面部特征检测器,并允许在显式识别身份之前进行快速检测。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号