冗余(工程)
遮罩(插图)
计算机科学
分割
压缩(物理)
人工智能
计算机视觉
视觉掩蔽
数据压缩
情报检索
模式识别(心理学)
视觉感受
心理学
材料科学
感知
艺术
神经科学
复合材料
操作系统
视觉艺术
作者
Sabrina Hansmann-Roth,Wolf M. Harmening,Bilge Sayim
标识
DOI:10.31219/osf.io/vf9qw_v1
摘要
In typical scenes, the available visual information exceeds the processing limits of the visual system.To reduce information, the visual system organizes visual input according to various principles. Forexample, in visual grouping local elements are grouped into larger wholes. Recently, it was shown howthe visual system compresses redundant information by ‘redundancy masking’ which reduces thenumber of perceived items in repeating patterns. For example, when three identical items are presentedin the periphery, observers often report perceiving only two items. In the current study, we examinedthe role of grouping and segmentation in redundancy masking. In particular, we asked whether visualgrouping determines –and precedes— the units in which information is compressed in redundancymasking. Stimuli consisted of arrays of 3-5 vertical lines, briefly presented in the left or right visualfield. We varied the contrast polarity of the lines creating the following patterns: uniform arrays,alternating arrays, and subgroups of identical lines with a different line at the stimulus edge. Observersreported the number of lines and then indicated the perceived feature values for each reported line. Ourresults revealed redundancy masking in all conditions. Importantly, redundancy masking always cameafter segmentation and grouping: lines were masked predominantly within segmented subgroups ofidentical lines. The reported patterns were highly systematic, even when redundancy masking occurred:The presence/absence of the two contrast polarities (Contrast), the stimulus edge (Edge) and theirordinal frequencies (Ratio) were largely accurately reported. Hence, important stimulus informationremained largely intact.We suggest that redundancy masking comes after grouping and segmentation, and that thevisual system compresses redundant information in the visual periphery by reducing the number ofperceived identical items while preserving key stimulus features.
科研通智能强力驱动
Strongly Powered by AbleSci AI