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多层次拥挤与杂乱中目标识别的悖论。

Multi-level Crowding and the Paradox of Object Recognition in Clutter.

机构信息

Department of Psychology, University of California, Berkeley, Berkeley, CA 94720, USA.

Department of Psychology, University of California, Berkeley, Berkeley, CA 94720, USA; Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA 94720, USA; Vision Science Program, University of California, Berkeley, Berkeley, CA 94720, USA.

出版信息

Curr Biol. 2018 Feb 5;28(3):R127-R133. doi: 10.1016/j.cub.2017.12.051.

Abstract

In everyday life, we are constantly surrounded by complex and cluttered scenes. In such cluttered environments, visual perception is primarily limited by crowding, the deleterious influence of nearby objects on object recognition. For the past several decades, visual crowding was assumed to occur at a single stage, only between low-level features or object parts, thus dismantling, destroying, or filtering object information. A large and converging body of evidence has demonstrated that this assumption is false: crowding occurs at multiple stages of visual analysis, and information passes through crowding at each of these stages. This converging empirical evidence points to a seeming paradox: crowding happens at multiple levels, which would seem to impair object recognition, and yet visual information at each of those levels is maintained intact and influences subsequent higher-level visual processing. Thus, while crowding impairs the access we have to visual information at many levels, it does not impair the representation of that information. The resolution of this paradox reveals how the visual system strikes a balance between the limits of object selection and the desire to represent multiple levels of visual information throughout cluttered scenes. Understanding crowding is therefore key to resolving the relationship between the richness of object and scene representations and the limits of conscious object recognition.

摘要

在日常生活中,我们经常被复杂而杂乱的场景所包围。在这样杂乱的环境中,视觉感知主要受到拥挤的限制,即附近物体对物体识别的有害影响。在过去的几十年中,人们一直认为视觉拥挤发生在单一阶段,仅在低级特征或物体部分之间,从而分解、破坏或过滤物体信息。大量的证据表明,这种假设是错误的:拥挤发生在视觉分析的多个阶段,信息在这些阶段中的每一个阶段都通过拥挤。这种趋同的经验证据指向一个看似矛盾的现象:拥挤发生在多个层次上,这似乎会损害物体识别,而在这些层次上的每一个层次的视觉信息都保持完整,并影响随后的更高层次的视觉处理。因此,虽然拥挤会损害我们在多个层次上获取视觉信息的能力,但它不会损害该信息的表示。这个悖论的解决揭示了视觉系统如何在物体选择的限制和在杂乱场景中表示多个层次的视觉信息的愿望之间取得平衡。因此,理解拥挤现象是解决物体和场景表示的丰富性与意识物体识别的限制之间关系的关键。

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