Representations and Algorithms for Recognizing and Locating Three Dimensional Curved Objects from Monocular Images

该奖项支持计算机视觉系统开发计算机辅助设计模型的研究，这些模型可用于许多制造对象。目标是学习如何建立一个视觉系统，能够识别和定位由参数表面补丁建模的弯曲三维物体的实例以及它们在通过边缘检测从单幅图像中获得的不完美线条绘制中的相交曲线。正在进行的研究系统构建模块的实现将完成，包括实体建模器的专门组件，用于构建对象模型的精确方面图的算法，以及从图像轮廓定位模型实例的技术。新的识别策略将被研究，基于对象和观众为中心的表示。将开发新的数据结构和算法来有效地实施这些策略；这些将被整合到一个工作识别系统中。这项研究的一个值得注意的方面是用多项式方程系统地表征几何约束，然后可以通过应用可用的计算和数学工具来解决。

This award supports research on ways for computer vision systems to exploit the Computer Aided Design models available for many manufactured objects. The goal is to learn how to build a vision system capable of recognizing and locating instances of curved 3D objects modeled by parametric surface patches and their intersection curves in the imperfect line drawing obtained by edge detection from a single image. Ongoing implementation of research system building blocks will be completed, including specialized components of a solid modeler, algorithms for constructing exact aspect graphs of object models, and techniques for locating model instances from image contours. Novel recognition strategies will be investigated, based on both object- and viewer-centered representations. New data structures and algorithms will be developed that efficiently implement these strategies; these will be integrated into a working recognition system. A notable aspect of this research is the systematic characterization of geometric constraints by polynomial equations, which may then be solved by application of available computational and mathematical tools.