Memorizing Visual Knowledge for Assembly Process Monitoring

Bauckhage C, Fritsch J, Sagerer G. Memorizing Visual Knowledge for Assembly Process Monitoring. In: Radig B, Florzcyk S, eds. Pattern Recognition. Lecture Notes in Computer Science. Vol 2191. Berlin: Springer; 2001: 178-185.Machine learning is a desirable property of computer vision systems. Especially in process monitoring knowledge of temporal context speeds up recognition. Moreover, memorizing earlier results allows to establish qualitative relations between the stages of a processes. In this contribution we present an architecture that learns different visual aspects of assemblies. It is organized hierarchically and stores prototypical data from different levels of image processing and object recognition. An example underlines that this memory facilitates assembly recognition and recognizes structural relations among complex objects