Recognizing 3-D objects in needle maps
Xiaoyi Jiang, Horst Bunke · 2002
A model-based system for the recognition of 3-D overlapping convex objects with planar and curved surfaces from the needle map of a scene is presented. The recognition is based on tree search and EGI (extended Gaussian image) matching. A set of constraints is proposed to effectively limit search space, and several heuristics are introduced to enhance the tree search and EGI matching. Moreover, all information needed for the recognition method is automatically generated from CAD models. >