A new omnidirectional image sensing system for assembly (OISSA)

نویسندگان

  • Wan Soo Kim
  • Hyung Suck Cho
  • S. Kim
چکیده

In contrast to objects of relatively simple shapes, it is diflault to extract geometrical informations fiom objects of complicated shapes and thus their assembly requires complete information about a misalignment between mating parts. This motivates development of a new sensing method for detecting the misalignment. In this paper, we propose a new omnidirectional image sensing system for assembly of parts with complicated shapes. It is shown that the system consisting of multiple mirrors and a camera can efleclively acquire the coaxial 2n view of the misalignment.

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تاریخ انتشار 1996