Title :
Modeling and recognition of assembled objects
Author :
Bauckhage, Christian ; Kummert, Franz ; Sagerer, Gerhard
Author_Institution :
Tech. Fac., Bielefeld Univ., Germany
fDate :
31 Aug-4 Sep 1998
Abstract :
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
Keywords :
assembling; computer vision; object recognition; process monitoring; semantic networks; assembled object recognition; computer vision system; construction task; cyclic semantic network; knowledge representation; object assembly supervision; process monitoring; Airplanes; Assembly systems; Computer network reliability; Computer vision; Image recognition; Image sensors; Machine vision; Man machine systems; Robustness; Speech processing;
Conference_Titel :
Industrial Electronics Society, 1998. IECON '98. Proceedings of the 24th Annual Conference of the IEEE
Conference_Location :
Aachen
Print_ISBN :
0-7803-4503-7
DOI :
10.1109/IECON.1998.724034
