期刊
PSYCHONOMIC BULLETIN & REVIEW
卷 10, 期 3, 页码 533-555出版社
PSYCHONOMIC SOC INC
DOI: 10.3758/BF03196516
关键词
-
A behavioral and computational treatment of change detection is reported. The behavioral task was to judge whether a single object substitution change occurred between two flickering 9-object scenes. Detection performance was found to vary with the similarity of the changing objects, object changes violating orientation and category yielded the fastest and most accurate detection responses. To account for these data, the BOLAR model was developed, which uses color, orientation, and scale selective filters to compute the visual dissimilarity between the pre- and postchange objects from the behavioral study. Relating the magnitude of the BOLAR difference signals to change detection performance revealed that object pairs estimated as visually least similar were the same object pairs most easily detected by observers. The BOLAR model advances change detection theory by (1) demonstrating that the visual similarity between the change patterns can account for much of the variability in change detection behavior, and (2) providing a computational technique for quantifying these visual similarity relationships for real-world objects.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据