Image Warping for 3-D Reconstruction: Robustness and Efficiency.
Joachim Hornegger, Carlo Tomasi · 2001
Many problems in medical imaging are stated in terms of parameter estimation. Given a proper parametric function local or global optimization procedures are applied to compute the best fit between the chosen model and observed measurements. The mathematical formalization of the tackled problem decides on the success of the final algorithm. We introduce a framework for practitioners which is useful for the definition of parameter estimation problems. The discussion of these techniques is guided by a concrete application: all the theory is motivated and studied considering the image warping task required for 3-D reconstruction based on linear projective mappings.