Task-Oriented Generation of Visual Sensing Strategies in Assembly Tasks
IEEE Transactions on Pattern Analysis and Machine Intelligence
Grammars and Discourse Theory to Describe and Recognize Mechanical Assemblies
Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
Alignment and Correspondence Using Singular Value Decomposition
Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
Schritthaltende hybride Objektdetektion
Mustererkennung 1997, 19. DAGM-Symposium
Elements of discrete mathematics (McGraw-Hill computer science series)
Elements of discrete mathematics (McGraw-Hill computer science series)
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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.