Volume Preserving Image Registration

نویسندگان

  • Eldad Haber
  • Jan Modersitzki
چکیده

In this paper we discuss image registration techniques with a focus on volume preserving constraints. These constraints can reduce the non-uniqueness of the registration problem significantly. Our implementation is based on a constrained optimization formulation. To solve the problem we use a variant of the Sequential Quadratic Programming method. Moreover, we present results on synthetic as well as on real-life data.

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تاریخ انتشار 2004