121results about How to "High result" patented technology

An active eyewear method and system for viewing stereoscopic images is provided. The eyewear comprises polarization altering elements, such as twisted nematics or super twisted nematics, configured to receive light energy and rotate the polarization of light energy passing therethrough, and linear polarizers having polarization axes oriented in substantially identical orientations orthogonal to the first axis of polarization. The linear polarizers receive light energy from the polarization altering elements. The method comprises transmitting light energy through a sheet polarizer having an first axis of polarization, receiving the light energy with two polarization altering elements, each polarization altering operating out of phase with the other and in synchrony with a video field rate associated with the transmitting, and passing the light energy through two linear polarizers having substantially identical axes of polarization orthogonal to the first axis of polarization.

This invention is a system and method for automatically managing a multi-step process in which human providers are selected for some purpose. Typical applications include the selection process associated with employment and dating services. The invention is directed to linking and coordinating the various steps of the selection process through automated sequencing, coordinating, tracking and status reporting processes. The interviewee answers questions that are printed, displayed, or spoken by an automated mechanism or questions are printed or displayed for use by a tester or interviewer. Answers can be written, spoken, or entered directly into a system by the interviewee. The invention provides a system and method for automatically scoring and ranking human providers with respect to selection criteria, making use of expert system concepts. Human shoppers are matched up and the usefulness of each match is scored on the basis of stated selection criteria of each human shopper.

A method for controlling the speed of audio signals is provided. The method is based on a TSM that uses an optimized AMDF and an OLA. According to the method, the number of frame sets is differently set depending a TSM speed rate to set the interval of a speed rate, and the number of frame sets required for adjusting the speed rate is determined. Subsequently, a TSM process is performed only when the TSM process is required for the frame set determined to adjust the speed rate, and speed processing is performed such that an input frame becomes an output frame otherwise.

An apparatus and method are provided for performing phase unwrapping for an acquired magnetic resonance (MR) image. The method includes modelling the MR phase in the MR image using a Markov random field (MRF) in which the true phase φ(t) and the wrapped phase φ(w) are modelled as random variables such that at voxel i of said MR image φ(t)(i)=φ(w)(i)+2πn(i), where n(i) is an unknown integer that needs to be estimated for each voxel i. The method further includes constructing a graph consisting of a set of vertices V and edges E and two special terminal vertices representing a source s and sink t, where there is a one-to-one correspondence between cuts on the graph and configurations of the MRF, a cut representing a partition of the vertices V into disjoint sets S and T such that sεS and tεT. The method further includes finding the minimum energy configuration, E(n(i)|φ(w)) of the MRF on the basis that the total cost of a given cut represents the energy of the corresponding MRF configuration, where the cost of a cut is the sum of all edges going from S to T across the cut boundary. The method further includes using the values of n(i) in the minimum energy configuration to perform the phase unwrapping from φ(w) to φ(t) for the MR image. A confidence may be computed for each voxel using dynamic graph cuts. The unwrapped phase from two MR images acquired at different times may be used to estimate a field map from the phase difference between the two MR images. The field map may be converted into a deformation field which is then used to initialise a non-rigid image registration of the acquired MR image against a reference image. The deformation field of the non-rigid registration is controlled to be smoother where the confidence is high.