Suppr超能文献

一阶和二阶方向的整合

Integration of first- and second-order orientation.

作者信息

Allen Harriet A, Hess Robert F, Mansouri Behzad, Dakin Steven C

机构信息

McGill Vision Research Unit, 687 Pine Avenue West, Room H4-14, Montreal, H3A 1A1, Quebec, Canada.

出版信息

J Opt Soc Am A Opt Image Sci Vis. 2003 Jun;20(6):974-86. doi: 10.1364/josaa.20.000974.

Abstract

The problem of how visual information such as orientation is combined across space bears on key visual abiities, such as texture perception. Orientation signals can be derived from both luminance and contrast, but it is not well understood how such information is pooled or how these different orientation signals interact in the integration process. We measured orientation discrimination thresholds for arrays of equivisible first-order and second-order Gabors. Thresholds were measured as the orientation variability in the arrays increased, and we estimated the number of samples (or efficiency) and internal noise of the mechanism being used. Observers were able to judge the mean orientation of arrays of either first- or second-order Gabors. For arrays of first-order and arrays of second-order Gabors, estimates of the number of samples used increased as the number of Gabors increased. When judging the orientation of arrays of either order, observers were able to ignore randomly oriented Gabors of the opposite order. If observers did not know which Gabor type carried the more useful orientation information, they tended to use the information from first-order Gabors (even when this was poorer information). Observers were unable to combine information from first- and second-order Gabors, though this would have improved their performance. The visual system appears to have separate integrators for combining local orientation across space for luminance- and contrast-defined features.

摘要

诸如方向等视觉信息如何在空间中进行整合的问题与关键视觉能力相关,比如纹理感知。方向信号可从亮度和对比度中获取,但目前尚不清楚此类信息是如何汇总的,以及这些不同的方向信号在整合过程中是如何相互作用的。我们测量了等效的一阶和二阶加博尔阵列的方向辨别阈值。随着阵列中方向变异性的增加来测量阈值,并且我们估计了所使用机制的样本数量(或效率)和内部噪声。观察者能够判断一阶或二阶加博尔阵列的平均方向。对于一阶加博尔阵列和二阶加博尔阵列,随着加博尔数量的增加,所使用样本数量的估计值也会增加。在判断任何一种阵列的方向时,观察者能够忽略相反阶数的随机定向加博尔。如果观察者不知道哪种加博尔类型携带更有用的方向信息,他们倾向于使用来自一阶加博尔的信息(即使这是较差的信息)。观察者无法整合来自一阶和二阶加博尔的信息,尽管这样做会提高他们的表现。视觉系统似乎具有独立的整合器,用于在空间中为亮度和对比度定义的特征组合局部方向。

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