Model-Based Free-Form 3D Object Recognition

基于模型的目标识别是计算机视觉研究的热点和难点。基于模型的自由形式的对象的识别问题是在这个项目中解决。这个问题有许多实际的分支，强大的解决方案将适用于包括现代制造和自主导航在内的领域。先前在基于模型的识别方面的工作将用于开发适合用于识别的3D对象的表示，具有明确的效率目标的原型识别策略，并以标准形式传播其研究成果，包括通过互联网提供的电子档案。该项目有以下主要组成部分：（1）开发一种适用于图像合成和对象识别的自由形状对象的对象表示策略。 沿着曲面三角剖分来考虑基于点的表示。(2)基于所选择的表示策略开发识别和定位技术。工业合作将允许PI从真实的传感器获得的真实的范围数据中获得自由形式物体的基于可变分辨率三角测量的模型。一个小型的桌面三轴轧机将用于制造CAD设计的自由形式的对象的原型。

Model-based object recognition is a popular and difficult subfield of computer vision research. The problem of model-based recognition of free-form objects is addressed in this project. This problem has many practical ramifications and robust solutions will be applicable in areas including modern manufacturing and autonomous navigation. Prior work in model-based recognition will be used to develop representations for 3D objects which are suitable for use in recognition, prototype recognition strategies with an explicit goal of efficiency, and disseminate their research results in the standard forms, including electronic archives available over the Internet. The project has the following major components: (1) Development of an object representation strategy for free-form objects suitable for both image synthesis and object recognition. Point-based representations are considered along with surface triangulations. (2) Development of a recognition and localization technique based on the representation strategy chosen. An industrial collaboration will allow the PI to obtain variable-resolution triangulation-based models of free-form objects from real range data obtained from real sensors. A small tabletop three-axis mill will be used to fabricate prototypes of free-form objects from CAD designs.