Scene categorization at large visual eccentricities

Scene categorization at large visual eccentricities
复制标题

DOI:
10.1016/j.visres.2013.04.006
复制
发表时间:
2013-06-28
期刊:
影响因子:
1.8
通讯作者:
Greene, Michelle
Greene, Michelle
中科院分区:
心理学3区
文献类型:
--
作者:
Boucart, Muriel;Moroni, Christine;Greene, Michelle

文献摘要

被引文献

相似文献

场景感知的研究表明,视觉系统对全局属性(如场景的整体布局)特别敏感。这样的全局属性不能在本地计算,而是需要在多个区域上进行关系分析。观察者对远边缘场景的感知受到多大程度的损害?我们研究了感知的全球场景属性(实验1)和基本级别的类别(实验2)在周边从10度到70度。在控制中心注视的同时,在覆盖整个视野的全景屏幕(5 m直径)上同时呈现成对的场景照片,在注视的左侧和右侧持续80 ms。指导观察者按下对应于预定义目标属性或类别的左/右空间位置的键。结果表明,全局场景属性的分类(例如,自然性、开放性)以及基本级别分类(例如,森林、高速公路),而在中心附近更好,即使在70度偏心率的情况下,在远外围也以高于机会的表现(大约70%正确)完成。一些全局属性的感知(例如,自然度)在周边视觉中比其它(例如,室内/室外),这需要更多的本地分析。实验结果与周边视觉的低分辨力可以实现场景主旨识别的研究结果一致。(C)2013由Elsevier Ltd.出版
Studies of scene perception have shown that the visual system is particularly sensitive to global properties such as the overall layout of a scene. Such global properties cannot be computed locally, but rather require relational analysis over multiple regions. To what extent is observers' perception of scenes impaired in the far periphery? We examined the perception of global scene properties (Experiment 1) and basic-level categories (Experiment 2) presented in the periphery from 10 degrees to 70 degrees. Pairs of scene photographs were simultaneously presented left and right of fixation for 80 ms on a panoramic screen (5 m diameter) covering the whole visual field while central fixation was controlled. Observers were instructed to press a key corresponding to the spatial location left/right of a pre-defined target property or category. The results show that classification of global scene properties (e.g., naturalness, openness) as well as basic-level categorization (e.g., forests, highways), while better near the center, were accomplished with a performance highly above chance (around 70% correct) in the far periphery even at 70 degrees eccentricity. The perception of some global properties (e.g., naturalness) was more robust in peripheral vision than others (e.g., indoor/outdoor) that required a more local analysis. The results are consistent with studies suggesting that scene gist recognition can be accomplished by the low resolution of peripheral vision. (C) 2013 Published by Elsevier Ltd.