Multi-modal data integration using graph for collaborative assembly design information sharing and reuse

  • Authors:
  • Hyung-Jae Lee;Kyoung-Yun Kim;Hyung-Jeong Yang;Soo-Hyung Kim;Sook-Young Choi

  • Affiliations:
  • Dept. of Computer Science, Chonnam University, Gwangju, Korea;Dept. of Industry and Manufacturing Engineering, Wayne State University, Detroit, MI;Dept. of Computer Science, Chonnam University, Gwangju, Korea;Dept. of Computer Science, Chonnam University, Gwangju, Korea;Dept. of Computer Education, Woosuk University, Samruy, Chonbuk, Korea

  • Venue:
  • IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems
  • Year:
  • 2007

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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 multimodal data has been realized to retrieve assembly design information using a product image.