Softposit: an Algorithm for Registration of 3d Models to Noisy Perspective Images Combining Softassign and Posit

نویسندگان

  • Daniel Dementhon
  • Phil David
  • Hanan Samet
چکیده

We propose an algorithm, SoftPOSIT, for automatic model-to-image registration. This algorithm combines two techniques, (1) a solution to the correspondence problem by an iterative technique called Softassign, and (2) a solution to the pose problem by an iterative technique called POSIT. These two techniques are combined into a single iteration loop. The present report focuses on the description of the algorithm. Results of a performance evaluation obtained from Monte Carlo simulations under a variety of levels of clutter, occlusion, and image noise will be presented in a forthcoming report.

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تاریخ انتشار 2001