Spatial relationships between contours impact rapid scene classification.
Spatial relationships between contours impact rapid scene classification.
复制标题
轮廓之间的空间关系影响快速场景分类。
作者：
J. Wilder;Sven J. Dickinson;A. Jepson;Dirk B. Walther
即使观察者只能短暂看到自然场景的照片和线条图，也可以轻松分类。轮廓交界处和高曲率点已被证明对于感知组织很重要（Attneave，1954；Biederman，1987），并且被认为对快速场景分类具有影响力（Walther＆Shen，2014）。在这里，我们操纵图像中的连接点，要么随机翻译它们，要么有选择地删除或维护它们。当轮廓被随机平移（破坏连接点）时，观察者比当连接点被随机移动（部分破坏轮廓信息）时更擅长对图像进行分类。此外，当仅显示路口之间的片段时，观察者比仅显示路口并删除中间片段时更能对场景进行分类。这些结果表明，对现实世界场景的线条图进行分类并不仅仅依赖于交汇点统计数据。交汇点的空间位置以及它们之间的关系很重要。此外，交汇点之间的线段似乎有助于场景分类，可能是因为它们涉及与其他轮廓线段的对称关系。
Photographs and line drawings of natural scenes are easily classified even when the image is only briefly visible to the observer. Contour junctions and points of high curvature have been shown to be important for perceptual organization (Attneave, 1954; Biederman, 1987) and have been proposed to be influential in rapid scene classification (Walther & Shen, 2014). Here, we manipulate the junctions in images, either randomly translating them, or selectively removing or maintaining them. Observers were better at classifying images when the contours were randomly translated (disrupting the junctions) than when the junctions were randomly shifted (partially disrupting contour information). Moreover, observers were better at classifying a scene when shown only segments between junctions, than when shown only the junctions, with the middle segments removed. These results suggest that categorizing line drawings of real-world scenes does not solely rely on junction statistics. The spatial locations of the junctions are important, as well as their relationships with one another. Furthermore, the segments between junctions appear to facilitate scene classification, possibly due to their involvement in symmetry relationships with other contour segments.
影响因子：
22.4
作者：
Wagemans, Johan;Elder, James H.;Kubovy, Michael;Palmer, Stephen E.;Peterson, Mary A.;Singh, Manish;von der Heydt, Ruediger
通讯作者：
von der Heydt, Ruediger
影响因子：
--
作者：
Brainard, DH
通讯作者：
Brainard, DH
图形-地面组织的神经模型
影响因子：
2.5
作者：
Craft, Edward;Schuetze, Hartmut;von der Heydt, Ruediger
通讯作者：
von der Heydt, Ruediger