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

视觉处理的中间阶段由通用知觉组织模块和3D解释模块组成。这项研究涉及中间处理模块的计算和算法模型，以及这些模块之间的相互作用。它将研究一些感知分组模块与3D解释模块的整合。如果像这里建议的那样跨级别进行集成，则有关物理世界的特定知识提供了一组强大的约束条件，用于组合分组模块的输出。该项目涉及以综合方式开发和实施可能的视觉处理模块的子集。该项目的目标是证明，当在3D模块的范围内解释较低和中级模块的结果时，即当较高级别的模块提供反馈时，所获得的结果更加稳健和明确。本方案重点研究的具体模块有：(1)与对称性检测模块相结合的邻近度和光滑度分组模块。(2)与三维线标注模块集成的分组模块。(3)结合轮廓形状的对称性检测模块。算法将在包含不透明、分段平滑对象的杂乱场景的真实图像上进行测试，并将评估分组算法和整合过程在分析这些图像时的有用性。

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.