Development of the Aspect Graph Representation for Use in Robot Vision

这个项目将开发基于透视的方面图 用于3D物体的视觉识别。 算法将 开发用于创建平面物体的方面图， 用于CSG实体建模中使用的曲面对象。 降低这些方面图复杂性的技术 也将进行研究，可能导致减少储存或 更快的物体识别。

This project will develop perspective-based aspect graphs for visual recognition of 3-D objects. Algorithms will be developed to create aspect graphs for planar-faced objects and for curved-surface objects used in CSG solid modeling. Techniques for reducing the complexity of these aspect graphs will also be studied, possibly leading to reduced storage or faster object recognition.