PERCEPTUAL ORGANIZATION OF TWO DIMENSIONAL PATTERNS

描述：一位在早期视力领域的知名研究人员提出， 使用心理物理学和计算方法来研究分组， 分离和多元素模式中的轮廓整合。 具体 目的包括：1）测量成对交易关系， 对称性的分组强度（例如，空间邻近性如何相互作用 在分组任务中对称？）2)过滤器与 基于结构的分组和隔离模型3）不同的测试 轮廓积分模型，4）偏心效应的测量， 纹理分离，5）感知机制的建模 组织感知复杂图像。 大部分数据将 用三个元件显示器收集。 实验对象的任务是 确定中心项目是否与左侧或右侧更强地组合 侧翼项目。 在其他任务中（如4.2节），学生将识别 纹理补丁的方向。 提出了一种分组模型， 通过Albrecht先前建模的简单细胞进行过滤， 盖斯勒 第二个“转换”匹配阶段允许类似的 要分组在一起的项目。 在一个复杂的形象，该计划是有 感受野匹配生成第一组基元， 分组。 然后这些组进行转换映射， 更高阶的分组可以基于该操作的结果。 图形化基于各种分组规则（例如图形-背景 分组，联合分组-一个原则，认为如果A和B 组与B、C组相比，A、C组的疗效更好）。 该模型断言， 分组可以是“多层次的”，尽管承认“我们目前的 对多级分组的理解”处于相当原始的状态。

DESCRIPTION: An established researcher in the area of early vision proposes to use psychophysical and computational methods to study grouping, segregation, and contour integration in multi-element patterns. Specific aims include: 1) the measurement of pairwise trading relationships in grouping strength for symmetry (e.g. how does spatial proximity interact with symmetry in grouping tasks?) 2) comparison of filter vs. structure-based models of grouping and segregation 3) testing of different models of contour integration, 4) measurements of eccentricity effects in texture segregation, 5) modeling of the mechanisms of perceptual organization in perception of complex images. The bulk of the data will be collected with a three element display. The subject's task will be to determine if the center item groups more strongly with the left or right flanking item. In other tasks (e.g. section 4.2) Ss will identify the orientation of a texture patch. A model of grouping is proposed starting with filtering by simple cells as previously modeled by Albrecht and Geisler. A second, "transformational" matching stage allows for similar items to be grouped together. In a complex image, the plan is to have receptive field matching generate a first set of primitives that can be grouped. These groups are then subject to transformational mapping and higher-order groupings can be based on the results of that operation. Grouping is based on a variety of grouping rules (e.g. figure-ground grouping, associative grouping - a principle that holds that if A and B group and B and C group than A and C will group). The model asserts that grouping can be "multi-level" though it is admitted that "our current understanding of multiple-level grouping" is in a rather primitive state.