• 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

仔细观察:仍然没有低层次的混淆因素来面对突出显示的内容。

With a careful look: still no low-level confound to face pop-out.

作者信息

Hershler Orit, Hochstein Shaul

机构信息

Neurobiology Department, Institute of Life Sciences and Interdisciplinary Center for Neural Computation, Hebrew University, Jerusalem 91904, Israel.

出版信息

Vision Res. 2006 Sep;46(18):3028-35. doi: 10.1016/j.visres.2006.03.023. Epub 2006 May 15.

DOI:10.1016/j.visres.2006.03.023
PMID:16698058
Abstract

In this issue of Vision Research, VanRullen, R. (2006). On second glance: Still no high-level pop-out effect for faces. Vision Research, in press. challenges our earlier Vision Research paper, "At first sight: A high-level pop-out effect for faces" (Hershler, O., & Hochstein, S. (2005). At first sight: A high-level pop-out effect for faces. Vision Research, 45, 1707-1724). In that paper, we showed that faces pop-out from a great variety of heterogeneous distractors. This search must have been based on a holistic combination of facial features, since it could not have relied on any single low-level distinguishing feature-each of which was present in at least some of the distractors. VanRullen implies that the pop-out effect is not limited to faces, is not holistic, and is due to a low-level confound, namely that the "low-level" Fourier amplitude spectrum may differentiate between faces and other categories. We now show that he fails to substantiate all three claims. His first experiment replicates our own and shows once again that faces do indeed pop-out, while other objects, such as cars, do not. The claim regarding the non-holistic nature of face search is based on a failure to differentiate between holistic processing for face detection and for individual face identification. His central claim is that the Fourier amplitude spectrum is processed low-level and could be used for face pop-out. However, changing the amplitude spectrum may well affect high-level representations as well. For example, his demonstration uses hybrid images which are extremely fuzzy, rendering them difficult to identify. More importantly, this claim would lead to the conclusion that targets with a non-face phase spectrum and only a face amplitude spectrum would pop-out among distractors with different amplitude spectra. We demonstrate that this is, of course, not the case and that the Fourier amplitude is not the hoped for "low-level confound". Until another such "hidden" low level feature is found, we must accept that face pop out depends on a high level mechanism.

摘要

在本期《视觉研究》中,范鲁伦,R.(2006年)。再看一眼:面部仍不存在高级别的弹出效应。《视觉研究》,即将发表。对我们早期发表在《视觉研究》上的论文《乍一看:面部的高级别弹出效应》(赫什勒,O.,& 霍赫斯坦,S.(2005年)。乍一看:面部的高级别弹出效应。《视觉研究》,45,1707 - 1724)提出了挑战。在那篇论文中,我们表明面部能从各种各样的异质干扰物中弹出。这种搜索必定是基于面部特征的整体组合,因为它不可能依赖于任何单一的低级别区分特征——每个这样的特征至少在某些干扰物中也存在。范鲁伦暗示弹出效应不限于面部,不是整体性的,并且是由于一个低级别混淆因素,即“低级别”傅里叶幅度谱可能区分面部和其他类别。我们现在表明他未能证实这三个主张。他的第一个实验重复了我们的实验,再次表明面部确实会弹出,而其他物体,如汽车,则不会。关于面部搜索非整体性本质的主张是基于未能区分用于面部检测的整体处理和用于个体面部识别的整体处理。他的核心主张是傅里叶幅度谱是低级别处理的,可用于面部弹出。然而,改变幅度谱很可能也会影响高级别表征。例如,他的演示使用的混合图像极其模糊,难以识别。更重要的是,这一主张会导致这样的结论:具有非面部相位谱且只有面部幅度谱的目标会在具有不同幅度谱的干扰物中弹出。我们证明情况当然并非如此,并且傅里叶幅度不是所期望的“低级别混淆因素”。在找到另一个这样的“隐藏”低级别特征之前,我们必须接受面部弹出依赖于高级别机制。

相似文献

1
With a careful look: still no low-level confound to face pop-out.仔细观察:仍然没有低层次的混淆因素来面对突出显示的内容。
Vision Res. 2006 Sep;46(18):3028-35. doi: 10.1016/j.visres.2006.03.023. Epub 2006 May 15.
2
On second glance: still no high-level pop-out effect for faces.再看一眼:面部仍未出现高级别的弹出效应。
Vision Res. 2006 Sep;46(18):3017-27. doi: 10.1016/j.visres.2005.07.009. Epub 2005 Aug 26.
3
At first sight: a high-level pop out effect for faces.乍一看:面部的高级突显效应。
Vision Res. 2005 Jun;45(13):1707-24. doi: 10.1016/j.visres.2004.12.021.
4
Configural masking of faces: evidence for high-level interactions in face perception.面部的构型掩蔽:面部感知中高级交互作用的证据。
Vision Res. 2005 Aug;45(17):2287-97. doi: 10.1016/j.visres.2005.02.009. Epub 2005 Mar 19.
5
Faces are "spatial"--holistic face perception is supported by low spatial frequencies.面部具有“空间性”——整体面部感知由低空间频率支持。
J Exp Psychol Hum Percept Perform. 2006 Aug;32(4):1023-39. doi: 10.1037/0096-1523.32.4.1023.
6
Emotional priming of pop-out in visual search.视觉搜索中弹出式的情绪启动
Emotion. 2008 Apr;8(2):151-61. doi: 10.1037/1528-3542.8.2.151.
7
Perceptual learning of parametric face categories leads to the integration of high-level class-based information but not to high-level pop-out.参数化面部类别的知觉学习会导致基于类别的高级信息整合,但不会导致高级突出显示。
J Vis. 2010 Nov 24;10(13):20. doi: 10.1167/10.13.20.
8
A spatial frequency account of the detriment that local processing of Navon letters has on face recognition.关于Navon字母局部处理对面部识别产生损害的空间频率解释。
J Exp Psychol Hum Percept Perform. 2009 Oct;35(5):1427-42. doi: 10.1037/a0015788.
9
Faces in the cloud: Fourier power spectrum biases ultrarapid face detection.云中人脸:傅里叶功率谱对超快速人脸检测的偏差
J Vis. 2008 Sep 23;8(12):9.1-13. doi: 10.1167/8.12.9.
10
The role of holistic processing in face perception: evidence from the face inversion effect.整体加工在面孔知觉中的作用:来自面孔倒置效应的证据。
Vision Res. 2011 Jun 1;51(11):1273-8. doi: 10.1016/j.visres.2011.04.002. Epub 2011 Apr 7.

引用本文的文献

1
The neural basis of face pareidolia with human intracerebral recordings.通过人类脑内记录研究面部空想性错视的神经基础。
Imaging Neurosci (Camb). 2025 Mar 31;3. doi: 10.1162/imag_a_00518. eCollection 2025.
2
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.
3
A limited visual search advantage for illusory faces.对虚假面孔的有限视觉搜索优势。
Atten Percept Psychophys. 2024 Apr;86(3):717-730. doi: 10.3758/s13414-023-02833-y. Epub 2024 Jan 16.
4
Fixation-related electrical potentials during a free visual search task reveal the timing of visual awareness.自由视觉搜索任务期间与注视相关的电势揭示了视觉意识的时间。
iScience. 2023 Jun 15;26(7):107148. doi: 10.1016/j.isci.2023.107148. eCollection 2023 Jul 21.
5
Five Factors that Guide Attention in Visual Search.视觉搜索中引导注意力的五个因素。
Nat Hum Behav. 2017 Mar;1(3). doi: 10.1038/s41562-017-0058. Epub 2017 Mar 8.
6
High-level visual search in children with autism.自闭症儿童的高级视觉搜索。
J Vis. 2022 Aug 1;22(9):6. doi: 10.1167/jov.22.9.6.
7
Attention Allocation During Exploration of Visual Arrays in ASD: Results from the ABC-CT Feasibility Study.自闭症谱系障碍患者在视觉数组探索过程中的注意力分配:ABC-CT 可行性研究结果。
J Autism Dev Disord. 2023 Aug;53(8):3220-3229. doi: 10.1007/s10803-022-05569-0. Epub 2022 Jun 3.
8
A visual search advantage for illusory faces in objects.物体中的错觉面孔具有视觉搜索优势。
Atten Percept Psychophys. 2021 Jul;83(5):1942-1953. doi: 10.3758/s13414-021-02267-4. Epub 2021 Mar 25.
9
Major issues in the study of visual search: Part 2 of "40 Years of Feature Integration: Special Issue in Memory of Anne Treisman".视觉搜索研究中的主要问题:《特征整合40年:纪念安妮·特雷斯曼特刊》第二部分
Atten Percept Psychophys. 2020 Feb;82(2):383-393. doi: 10.3758/s13414-020-02022-1.
10
Dissociating Attention Effects from Categorical Perception with ERP Functional Microstates.利用事件相关电位功能微状态区分注意力效应与范畴知觉
PLoS One. 2016 Sep 22;11(9):e0163336. doi: 10.1371/journal.pone.0163336. eCollection 2016.