Modeling and recognition of assembled objects
Using a computer vision system to supervise a construction task requires the reliable recognition of assembled objects. A particularly reliable object recognition is possible if a comprehensive representation of knowledge about assembled objects is provided. In this paper, the authors present a cyclic semantic network which models all possible assemblies of objects from a wooden construction-kit for children. Due to its simplicity this model allows a straight recognition of assembled objects.