We present in this paper an iterative algorithm for the simultaneous registration of multiple 3D medical images. The proposed algorithm is a point-based registration method and is based on global registration techniques rather than the traditional pair-wise registration methods. Corresponding feature points, known as extremal points, are first automatically extracted from the 3D images and are ...

In this paper, we address the problem of robustly recovering several instances of a curve model from a single noisy data set with outliers. Using M-estimators revisited in a Lagrangian formalism, we derive an algorithm that we call Simultaneous Multiple Robust Fitting (SMRF), which extends the classical Iterative Reweighted Least Squares algorithm (IRLS). Compared to the IRLS, it features an ex...

Finding the ground state of a Hamiltonian system is great significance in many-body quantum physics and chemistry. We propose an improved iterative algorithm to prepare Hamiltonian. The crucial point optimize cost function on space via gradient descent (QGD) implemented devices. provide practical guideline selection learning rate QGD by finding fundamental upper bound establishing relationship ...