Abstract
Collaborative design has been recognized an alternative environment for product design in which multidisciplinary participants are naturally involving. Reuse of product design information has long been recognized as one of core requirements for efficient collaborative product design. This paper addresses integration of multi-modal data using a graph for an assembly design information sharing and reuse in the collaborative environment. In the system, assembly product images obtained from multi-modal devices are utilized to share and to reuse design information. The proposed system conducts the segmentation of an assembly product image by using a labeling method and generates an attribute relation graph (ARG) that represents properties of segmented regions and their relationships. The generated ARG is extended by integrating corresponding part/assembly information. In this manner, the integration of multi-modal data has been realized to retrieve assembly design information using a product image.
This research is partially supported by the Korea Research Foundation Grant funded by the Korean Government (MOEHRD, Basic Research Promotion Fund) (KRF-2006-003-D00511) and by KOCCA as the result of the research project for 2007 C.N.U culture technology development.
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Lee, HJ., Kim, KY., Yang, HJ., Kim, SH., Choi, SY. (2007). Multi-modal Data Integration Using Graph for Collaborative Assembly Design Information Sharing and Reuse. In: Okuno, H.G., Ali, M. (eds) New Trends in Applied Artificial Intelligence. IEA/AIE 2007. Lecture Notes in Computer Science(), vol 4570. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73325-6_52
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DOI: https://doi.org/10.1007/978-3-540-73325-6_52
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