Integration Of Perceptual Grouping Modules With 3D Interpretation Modules In Computer Vision

视觉处理的中间阶段包括一般的 目的知觉组织模块和3D解释 模块。 这项研究涉及计算和 中间处理模块的算法模型，以及 这些模块之间的交互。 它将研究 许多感知分组模块的集成， 3D解释模块。 如果整合是在 这里提出的水平，具体的知识， 物理世界提供了一组强大的约束， 以联合收割机组合分组模块的输出。 项目 涉及开发和实施 可能的视觉处理模块以集成的方式。 的 这个项目的目的是证明，当结果 低级和中级模块在 3D模块的上下文，即当从 模块级别越高，得到的结果越稳健 定义明确。 该建议的具体模块 重点研究了：（1）邻近性和平滑性分组 与对称检测模块集成的模块。(2)的 与3D线标记模块集成的分组模块。 （三） 所述对称性检测模块集成了从轮廓提取形状 模块。 算法将在杂乱的真实的图像上进行测试。 不透明的场景，分段平滑的对象和有用的 分析中的分组算法和集成过程 将对这些图像进行评估。

The intermediate stage of visual processing consists of general purpose perceptual organization modules and 3D interpretation modules. This research is concerned with the computational and algorithmic models of the intermediate processing modules, and the interaction of these modules with each other. It will study the integration of a number of perceptual grouping modules with 3D interpretation modules. If the integration is done across levels as proposed here, the specific knowledge about the physical world provides a powerful set of constraints with which to combine the outputs of the grouping modules. The project involves the development and implementation of a subset of the possible visual processing modules in an integrated manner. The goal of this project is to demonstrate that when the results of lower and intermediate level modules are interpreted within the context of 3D modules, that is, when feedback is provided from the higher level modules, the results obtained are more robust and well defined. The specific modules that this proposal concentrates upon are: (1) the proximity and smoothness grouping modules integrated with symmetry detection modules. (2) the grouping modules integrated with 3D line labeling modules. (3) the symmetry detection module integrated with shape from contour modules. Algorithms will be tested on real images of cluttered scenes of opaque, piecewise smooth objects and the usefulness of the grouping algorithm and the integration process in analyzing these images will be assessed.