Fast and robust common-reflection-surface parameter estimation

Non-hyperbolic common reflection surface

The method of common reflection surface (CRS) extend conventional stacking of seismic traces over offset to multidimensional stacking over offset-midpoint surfaces. We propose a new form of the stacking surface, derived from the analytical solution for reflection traveltime from a hyperbolic reflector. Both analytical comparisons and numerical tests show that the new approximation can be signif...

Robust Parameter Estimation in ComputerVisionCharles

Fast and robust parameter estimation method for global motion compensation in the video coder

In this paper, we describe a method for estimating and compensating 3D camera motion in image sequences for the applications to the video coding system. To improve the estimation accuracy of the global motion parameter, we propose a robust algorithm which selects the reliable observation points adaptively and eliminates the bad observation points effectively. Unlike the existing linear recursiv...

Robust and Fast Probabilistic Source Parameter Estimation from Near-Field Displacement Waveforms Using Pattern Recognition

The robust and automated determination of earthquake source parameters on a global and regional scale is important for many applications in seismology. We present a novel probabilistic method to invert a wide variety of (waveform) data for point-source parameters in real time using pattern recognition. Inferences are made in the form of marginal probability density functions for point-source pa...

Fast and robust parameter estimation for statistical partial volume models in brain MRI.

Due to the finite spatial resolution of imaging devices, a single voxel in a medical image may be composed of mixture of tissue types, an effect known as partial volume effect (PVE). Partial volume estimation, that is, the estimation of the amount of each tissue type within each voxel, has received considerable interest in recent years. Much of this work has been focused on the mixel model, a s...