PERCEPTUAL ORGANIZATION OF TWO DIMENSIONAL PATTERNS

描述：早期视觉领域的一位知名研究人员建议 使用心理物理和计算方法来研究分组， 多元素模式中的分离和轮廓整合。特定的 目标包括：1)衡量两两的交易关系 对称性的分组强度(例如，空间接近如何相互作用 在任务分组中是否具有对称性？)2)过滤器与 基于结构的分组和分离模型3)不同类型的测试 轮廓积分模型，4)偏心效应的测量 纹理分离，5)知觉机制的建模 在感知复杂图像方面的组织。大部分数据将是 用三元素显示屏收集。受试者的任务将是 确定中间项与左侧或右侧的分组强度是否更大 侧翼物品。在其他任务(如第4.2节)中，SS将标识 纹理面片的方向。首先，提出了一种分组模型 使用Albrecht和Albrecht之前建模的简单单元格过滤 盖斯勒。第二个“转型”匹配阶段允许类似的 要组合在一起的项目。在复杂的图像中，计划是有 接受性字段匹配生成第一组原语，该原语集可以 分组。然后这些组受到转换映射的影响，并且 更高级别的分组可以基于该操作的结果。 分组基于各种分组规则(例如，图形-背景 分组，联合分组--这是一条原则，如果A和B 组和B组和C组比A组和C将组)。该模型断言 分组可以是“多层次的”，尽管人们承认“我们目前的 “对多层次分组的理解”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.