• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

它是一只动物吗?它是一张人脸吗?直立和倒置自然场景中的快速处理。

Is it an animal? Is it a human face? Fast processing in upright and inverted natural scenes.

作者信息

Rousselet Guillaume A, Macé Marc J-M, Fabre-Thorpe Michèle

机构信息

Centre de Recherche Cerveau et Cognition, CNRS-UPS UMR 5549, Toulouse, France.

出版信息

J Vis. 2003;3(6):440-55. doi: 10.1167/3.6.5.

DOI:10.1167/3.6.5
PMID:12901715
Abstract

Object categorization can be extremely fast. But among all objects, human faces might hold a special status that could depend on a specialized module. Visual processing could thus be faster for faces than for any other kind of object. Moreover, because face processing might rely on facial configuration, it could be more disrupted by stimulus inversion. Here we report two experiments that compared the rapid categorization of human faces and animals or animal faces in the context of upright and inverted natural scenes. In Experiment 1, the natural scenes contained human faces and animals in a full range of scales from close-up to far views. In Experiment 2, targets were restricted to close-ups of human faces and animal faces. Both experiments revealed the remarkable object processing efficiency of our visual system and further showed (1) virtually no advantage for faces over animals; (2) very little performance impairment with inversion; and (3) greater sensitivity of faces to inversion. These results are interpreted within the framework of a unique system for object processing in the ventral pathway. In this system, evidence would accumulate very quickly and efficiently to categorize visual objects, without involving a face module or a mental rotation mechanism. It is further suggested that rapid object categorization in natural scenes might not rely on high-level features but rather on features of intermediate complexity.

摘要

物体分类可以极其迅速。但在所有物体中,人脸可能具有特殊地位,这可能取决于一个专门的模块。因此,视觉处理对人脸的速度可能比对其他任何类型物体的速度都要快。此外,由于面部处理可能依赖于面部构型,它可能更容易受到刺激反转的干扰。在此,我们报告两项实验,比较了在直立和倒置自然场景背景下,人类面孔与动物或动物面孔的快速分类。在实验1中,自然场景包含从特写镜头到远景的各种比例的人类面孔和动物。在实验2中,目标仅限于人类面孔和动物面孔的特写。两项实验都揭示了我们视觉系统卓越的物体处理效率,并进一步表明:(1)实际上人脸相对于动物没有优势;(2)反转对表现造成的损害很小;(3)人脸对反转更敏感。这些结果在腹侧通路中物体处理的独特系统框架内得到解释性。在这个系统中,证据会非常迅速且有效地积累起来以对视觉物体进行分类,而不涉及面部模块或心理旋转机制。进一步表明,自然场景中的快速物体分类可能不依赖于高级特征,而是依赖于中等复杂度的特征。

相似文献

1
Is it an animal? Is it a human face? Fast processing in upright and inverted natural scenes.它是一只动物吗?它是一张人脸吗?直立和倒置自然场景中的快速处理。
J Vis. 2003;3(6):440-55. doi: 10.1167/3.6.5.
2
Cortical correlates of face and scene inversion: a comparison.面部与场景倒置的皮层关联:一项比较
Neuropsychologia. 2006;44(7):1145-58. doi: 10.1016/j.neuropsychologia.2005.10.009. Epub 2005 Nov 21.
3
Limits of event-related potential differences in tracking object processing speed.事件相关电位差异在追踪物体处理速度方面的局限性。
J Cogn Neurosci. 2007 Aug;19(8):1241-58. doi: 10.1162/jocn.2007.19.8.1241.
4
Face processing in humans and new world monkeys: the influence of experiential and ecological factors.人类和新大陆猴的面部处理:经验和生态因素的影响。
Anim Cogn. 2007 Apr;10(2):125-34. doi: 10.1007/s10071-006-0045-4. Epub 2006 Aug 15.
5
Paradoxical configuration effects for faces and objects in prosopagnosia.面孔失认症中面孔和物体的矛盾构型效应。
Neuropsychologia. 2000;38(9):1271-9. doi: 10.1016/s0028-3932(00)00039-7.
6
Generalization to novel images in upright and inverted faces.
Perception. 1996;25(4):443-61. doi: 10.1068/p250443.
7
Animal and human faces in natural scenes: How specific to human faces is the N170 ERP component?自然场景中的动物和人类面孔:N170事件相关电位成分对人类面孔的特异性如何?
J Vis. 2004 Jan 30;4(1):13-21. doi: 10.1167/4.1.2.
8
Super face-inversion effects for isolated internal or external features, and for fractured faces.对于孤立的内部或外部特征以及对于断裂的面部,具有超强的反转效果。
Cogn Neuropsychol. 2000 Feb 1;17(1):201-19. doi: 10.1080/026432900380571.
9
The face inversion effect--parts and wholes: individual features and their configuration.面部倒置效应——部分与整体:个体特征及其构型
Q J Exp Psychol (Hove). 2014;67(4):728-46. doi: 10.1080/17470218.2013.828315. Epub 2013 Sep 25.
10
Early holistic face-like processing of Arcimboldo paintings in the right occipito-temporal cortex: evidence from the N170 ERP component.右枕颞叶皮层对面部整体早期加工:Arcimboldo 绘画 N170 事件相关电位成分的证据。
Int J Psychophysiol. 2013 Nov;90(2):157-64. doi: 10.1016/j.ijpsycho.2013.06.024. Epub 2013 Jun 29.

引用本文的文献

1
Neural representations of visual categories are dynamically tailored to the discrimination required by the task.视觉类别的神经表征会根据任务所需的辨别能力进行动态调整。
Cereb Cortex. 2025 Aug 1;35(8). doi: 10.1093/cercor/bhaf212.
2
The role of scene context in object recognition: Timing and mechanisms.场景上下文在物体识别中的作用:时机与机制。
J Vis. 2025 Aug 1;25(10):4. doi: 10.1167/jov.25.10.4.
3
Face detection in contextual scenes.在上下文场景中进行人脸检测。
PLoS One. 2024 Jun 12;19(6):e0304288. doi: 10.1371/journal.pone.0304288. eCollection 2024.
4
Modelling the impact of single vs. dual presentation on visual discrimination across resolutions.模拟单呈现与双呈现对不同分辨率下视觉辨别力的影响。
Q J Exp Psychol (Hove). 2025 Apr;78(4):827-841. doi: 10.1177/17470218241255670. Epub 2024 Jun 19.
5
Reading in the city: mobile eye-tracking and evaluation of text in an everyday setting.城市中的阅读:日常环境下的移动眼动追踪与文本评估
Front Psychol. 2023 Oct 18;14:1205913. doi: 10.3389/fpsyg.2023.1205913. eCollection 2023.
6
Hybrid predictive coding: Inferring, fast and slow.混合预测编码:快速和慢速推断。
PLoS Comput Biol. 2023 Aug 2;19(8):e1011280. doi: 10.1371/journal.pcbi.1011280. eCollection 2023 Aug.
7
Ultrafast Image Categorization in Biology and Neural Models.生物学和神经模型中的超快图像分类
Vision (Basel). 2023 Mar 24;7(2):29. doi: 10.3390/vision7020029.
8
Natural Contrast Statistics Facilitate Human Face Categorization.自然对比度统计有助于人类面孔分类。
eNeuro. 2022 Oct 6;9(5). doi: 10.1523/ENEURO.0420-21.2022. Print 2022 Sep-Oct.
9
Deep learning models fail to capture the configural nature of human shape perception.深度学习模型无法捕捉人类形状感知的构型本质。
iScience. 2022 Aug 11;25(9):104913. doi: 10.1016/j.isci.2022.104913. eCollection 2022 Sep 16.
10
Flexibility of emerging face categorization at different levels of abstraction.不同抽象层次上新兴面部分类的灵活性。
J Vis. 2021 May 3;21(5):22. doi: 10.1167/jov.21.5.22.