Feature Modelling for Assembly
Graphics and Robotics
An augmented context free grammar for discourse
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 2
Hybrid Object Recognition in Image Sequences
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Structure and Process: Learning of Visual Models and Construction Plans for Complex Objects
Revised Papers from the International Workshop on Sensor Based Intelligent Robots
Memorizing Visual Knowledge for Assembly Process Monitoring
Proceedings of the 23rd DAGM-Symposium on Pattern Recognition
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In recent years numerous approaches to automatic reasoning about mechanical assemblies have been published. CAD techniques, graph-based approaches and semantic methods to model assembled objects were proposed. However, all these methods are difficult to employ for visually supervising assembly processes since they lack the flexibility, generality or ease required in practice. This paper presents the idea of using syntactic methods known from discourse theory in order to model classes of mechanical assemblies. Moreover, a criterion to derive recursive grammatical production rules is introduced so that the representation of a class of assemblies becomes especially compact. This general representation scheme allows to automatically derive hierarchical structural descriptions of individual assemblies by means of computer vision.