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拥挤现象——物体识别的关键瓶颈:一篇综述短文

Crowding--an essential bottleneck for object recognition: a mini-review.

作者信息

Levi Dennis M

机构信息

University of California at Berkeley, School of Optometry and The Helen Wills Neuroscience Institute, Berkeley, CA 94720-2020, USA.

出版信息

Vision Res. 2008 Feb;48(5):635-54. doi: 10.1016/j.visres.2007.12.009. Epub 2008 Jan 28.

Abstract

Crowding, generally defined as the deleterious influence of nearby contours on visual discrimination, is ubiquitous in spatial vision. Crowding impairs the ability to recognize objects in clutter. It has been extensively studied over the last 80 years or so, and much of the renewed interest is the hope that studying crowding may lead to a better understanding of the processes involved in object recognition. Crowding also has important clinical implications for patients with macular degeneration, amblyopia and dyslexia. There is no shortage of theories for crowding-from low-level receptive field models to high-level attention. The current picture is that crowding represents an essential bottleneck for object perception, impairing object perception in peripheral, amblyopic and possibly developing vision. Crowding is neither masking nor surround suppression. We can localize crowding to the cortex, perhaps as early as V1; however, there is a growing consensus for a two-stage model of crowding in which the first stage involves the detection of simple features (perhaps in V1), and a second stage is required for the integration or interpretation of the features as an object beyond V1. There is evidence for top-down effects in crowding, but the role of attention in this process remains unclear. The strong effect of learning in shrinking the spatial extent of crowding places strong constraints on possible models for crowding and for object recognition. The goal of this review is to try to provide a broad, balanced and succinct review that organizes and summarizes the diverse and scattered studies of crowding, and also helps to explain it to the non-specialist. A full understanding of crowding may allow us to understand this bottleneck to object recognition and the rules that govern the integration of features into objects.

摘要

拥挤现象,通常被定义为附近轮廓对视觉辨别产生的有害影响,在空间视觉中普遍存在。拥挤会损害在杂乱环境中识别物体的能力。在过去约80年里,它得到了广泛研究,近期重新引发的诸多兴趣在于,人们希望通过研究拥挤现象,能更好地理解物体识别所涉及的过程。拥挤现象对黄斑变性、弱视和阅读障碍患者也具有重要的临床意义。关于拥挤现象的理论并不匮乏,从低级感受野模型到高级注意力模型都有。目前的情况是,拥挤现象是物体感知的一个关键瓶颈,会损害周边视觉、弱视视觉以及可能正在发育的视觉中的物体感知。拥挤现象既不是掩蔽效应也不是周围抑制。我们可以将拥挤现象定位到皮层,可能早在初级视觉皮层(V1);然而,对于拥挤现象的两阶段模型,人们的共识越来越多,其中第一阶段涉及简单特征的检测(可能在V1),第二阶段则需要将这些特征整合或解释为V1之外的物体。有证据表明拥挤现象存在自上而下的效应,但注意力在这一过程中的作用仍不明确。学习在缩小拥挤现象的空间范围方面的强大作用,对拥挤现象和物体识别的可能模型施加了严格限制。这篇综述的目的是尝试提供一个广泛、平衡且简洁的综述,整理和总结关于拥挤现象的各种分散研究,并帮助向非专业人士进行解释。对拥挤现象的全面理解可能使我们理解物体识别的这个瓶颈以及将特征整合为物体的规则。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69ce/2268888/5659b1a98ecc/nihms41907f1.jpg

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