150 results about "Reference space" patented technology

Systems and methods for extended color processing on Pelican array cameras in accordance with embodiments of the invention are disclosed. In one embodiment, a method of generating a high resolution image includes obtaining input images, where a first set of images includes information in a first band of visible wavelengths and a second set of images includes information in a second band of visible wavelengths and non-visible wavelengths, determining an initial estimate by combining the first set of images into a first fused image, combining the second set of images into a second fused image, spatially registering the fused images, denoising the fused images using bilateral filters, normalizing the second fused image in the photometric reference space of the first fused image, combining the fused images, determining a high resolution image that when mapped through a forward imaging transformation matches the input images within at least one predetermined criterion.

A method for generating a simulated aerial image includes forming a reference aerial image of a first mask using an optical system, and capturing and processing the reference aerial image so as to generate a set of expansion functions representative of the optical system. The simulated aerial image of a second mask is then computed by applying the expansion functions to a design of the second mask.

The invention discloses a point cloud registering method based on an iterative closest point algorithm. The point cloud registering method based on the iterative closest point algorithm is implemented through the steps of (1) obtaining a point cloud; (2) preprocessing the point cloud; (3) obtaining a reference space to be expanded and a target space to be expanded; (4) obtaining a reference space to be registered and a target space to be registered; (5) registering a reference point cloud and a target point cloud; (6) if determining that all segmented point clouds complete registration, performing the step (7), if not, returning to the step (2); (7) outputting a registration result. According to the point cloud registering method based on the iterative closest point algorithm, the point cloud to be registered is obtained according to scenes and through different scanning manners; then through the steps of rough registration, precise registration, corresponding point maximization and the like as well as registration score correction, the possibility of falling into local solution can be reduced, and the robustness and the registering precision can be improved. Therefore, the point cloud registering method based on the iterative closest point algorithm can be applied to registering point clouds of complex scenes.

Methods and systems for knowledge extraction and prediction are described. In an example, a computerized method, and system for performing the method, can include receiving historical data pertaining to a domain of interest, receiving predetermined heuristics design data associated with the domain of interest, and using the predetermined heuristics design and historical data, automatically creating causal maps including a hierarchy of nodes, each node of the hierarchy of nodes being associated with a plurality of quantization points and reference temporal patterns, the plurality quantization points being known reference spatial patterns. In an example the computerized method, and system for performing the method, can further include receiving, at each node, a plurality of unknown patterns pertaining to a cause associated with the domain of interest, automatically mapping the plurality of unknown patterns to the quantization points using spatial similarities of the unknown patterns and the quantization points, automatically pooling the quantization points into a temporal pattern, the temporal pattern being a sequence of spatial patterns that represent the cause, automatically mapping the temporal pattern to a reference temporal pattern, automatically creating a sequence of the temporal patterns, and automatically recognizing the cause using the sequence of temporal patterns.

A method of voice recognition in a noise-ridden acoustic signal comprises a phase of digitizing temporal frames of the noise-ridden acoustic signal, a phase of parametrization of speech-containing temporal frames, a shape-recognition phase in which the parameters are assessed with respect to references pre-recorded in a reference space, a phase of reiterative searching for noise models in the noise-ridden signal frames, a phase of searching for a transition between the new noise model and the old model and, when the noise transition has been detected, a phase of updating the reference space, the parametrization phase including a step of matching the parameters to the new noise model.

An example method includes receiving analysis data and output indicator, mapping data points from a transposition of the analysis data to a reference space, generating a cover of the reference space, clustering the data points mapped to the reference space using the cover and a metric function to determine each node of a plurality of nodes, for each node, identifying data points that are members to identify similar features, grouping features as being similar to each other based on node(s), for each feature, determining correlation with at least some data associated with the output indicator and generate a correlation score, displaying at least groupings of similar features and displaying the correlation scores, receiving a selection of features, generating a set of models based on selection, determining fit of each generated model to output data and generate a model score, and generating a model recommendation report.

A method for reading a radiation image from a stimulable phosphor sheet composed of a substrate and a stimulable phosphor layer containing a latent radiation image by as of a radiation image-reading means having a stimulating light-applying unit and a stimulated emission-collecting unit having a lens and a stimulated emission-receiving plane, which is performed by the steps of applying a stimulating light onto the phosphor layer under the condition that the phosphor sheet moves along its sheet plane in relation to the stimulated emission-collecting unit; collecting a stimulated emission emitting from the area onto which the stimulating light is applied on the emission-receiving plane through the lens; and photoelectrically converting the collected emission into electric signals in the stimulated emission-collecting unit, is improved by moving the stimulable phosphor sheet in relation to the emission-collecting unit under the condition that the stimulating light-applied area of the stimulable phosphor layer is kept apart from the center of the emission-receiving plane with a space in the range defined by a combination of a reference space and a focal depth of the lens, in which the reference space is defined by a length at which the stimulated emission emitting from the phosphor layer focuses on the emission-receiving plane after passing through the lens.

A method of detecting movement of a video camera is provided that includes computing a reference spatial derivative image from a reference frame, computing a temporal derivative image based on two frames of a video sequence captured by the video camera, and determining whether the video camera has moved based on the number of pixels in the temporal derivative image that match pixels in the reference spatial derivative image.

A computing device is described which includes plural display parts provided on respective plural device parts. The display parts define a display surface which provides interfaces to different tools. The tools, in turn, allow a local participant to engage in an interactive session with one or more remote participants. In one case, the tools include: a shared workspace processing module for providing a shared workspace for use by the participants; an audio-video conferencing module for enabling audio-video communication among the participants; and a reference space module for communicating hand gestures and the like among the participants, etc. In one case, the computing device is implemented as a portable computing device that can be held in a participant's hand during use.

Apparatus for, and a method of, providing output data to a person identifying a route back to a recorded waypoint position. Personal navigation apparatus for providing output data to a person identifying a route back to a recorded waypoint position, comprising a route indication device including a visual display element; and a positioning device. The positioning system includes a processing system having a data storage device, a first micromechanical device configured to produce an output signal proportional to an acceleration along an axis, and a second micromechanical device having components in constant motion and configured to produce an output signal proportional to its angular rate of motion around an axis. The processing system is configured to generate and store in said data storage device position data describing the position of said personal navigation apparatus within a reference space, based upon data received from said first micromechanical device and said second micromechanical device.

The measurement sensitivity is improved by suppressing the surrounding temperature influence as much as possible, while realizing scale reduction, and by enlarging the detection signal, while reducing the production errors in enclosing a reference gas. Provided is a thermal conductivity sensor that detects thermal conductivity of a sample gas by using a Wheatstone Bridge circuit constructed in such a manner that measurement resistors that are brought into contact with the sample gas are disposed on a first side, and reference resistors that are brought into contact with a reference gas are disposed on a second side, and comparing the potential difference between connection points of the reference resistors and the measurement resistors. The measurement resistors disposed on the first side are assembled in one measurement space, and the reference resistors disposed on the second side are assembled in one reference space.

The invention provides a method for testing EIS (Effective Isotropic Sensitivity). The method comprises the following steps of: performing EIRP (Effective Isotropic Radiated Power) measurement on a mobile terminal at a plurality of space positions to obtain a plurality of EIRP measured values corresponding to the plurality of space positions; performing EIS measurement on the mobile terminal by taking any space position in the plurality of space positions as a reference space position to obtain an EIS measured value of a corresponding reference space position; obtaining an EIS calculation value of a space position to be measured according to an EIS measured value and an EIRP measured value of the reference space position and an EIRP measured value corresponding to the space position to be measured; and performing EIS measurement on the space position to be measured by taking the EIS calculation value as an estimation value to obtain an EIS measured value of the space position to be measured. In the embodiment of the invention, the EIS calculation value obtained by calculation is accurate to take as an estimation value, so that the test searching times can be greatly reduced, and the test speed is greatly increased.

The invention discloses a simplified multilevel space vector pulse width modulation method and a space vector pulse width modulation soft core applicable to a three-phase cascaded H-bridge converter. The method includes: firstly, at the starting moment of each switching period Ts, sampling a reference space voltage vector to obtain a corresponding reference space voltage vector of each unit; then, completing sector judgment on the reference space voltage vectors , and respectively by the aid of shared computing resources, rotating the corresponding reference space voltage vectors to a first sector to obtain , and , computing an actual sector N in which switching time is mapped to the reference space voltage vectors; finally, distributing the corresponding switching time of each unit by means of multichannel signal selection and completing corresponding PWM (pulse width modulation) signal generation of each unit. The method can be used for achieving modulation of the three-phase cascaded H-bridge converter, is easy to achieve balanced energy distribution of each power unit, good in harmonic characteristic, high in extendibility, low in computation complexity, easy in digitization implementation and good in dynamic and steady-state performance, and is applicable to simplified multilevel space vector pulse width modulation of a high-voltage high-power speed regulating system, a high-voltage direct-current power transmission system and an electric railway traction power supply system.

The invention discloses a simplified multi-level space vector pulse width modulation method for an any-level single-phase cascaded H-bridge type converter and a modulation soft core thereof. At starting time of each switching period Ts, sampling of reference space voltage vectors Ur<(N)> is carried out to obtain reference space voltage vectors of all units one by one; section determination is carried out on the reference space voltage vectors Ur(1) <(N)>, Ur(2) <(N)>, ... Ur(n) <(N)> by using shared computing resources and calculation is carried out to obtain switching time; and shunting is carried out on switching time corresponding to all units based on multi-path signal selection and generation of PWM signals corresponding to all units is completed. With the method, modulation of the single-phase cascaded H-bridge type converter can be realized. On the basis of the technology, balanced energy distribution of all power units can be realized easily; the harmonic characteristics are good; the expandability is high; the computation complexity is low; digital realization becomes easy; and the dynamic and steady performances are excellent. The method can be applied to fields like a high-voltage high-power speed regulation system, a high-voltage direct-current power transmission system, and an electrical railway traction power supply system and the like.

The method of playing back a multichannel audio signal via a playback device comprises a plurality of loudspeakers arranged at fixed locations of the device and define a spatial window for sound playback relative to a reference spatial position. The method comprises for at least one sound object extracted from the signal, estimating a diffuse or localized nature of the object and estimating its position relative to the window. The audio signal is played back via the loudspeakers of the device during which playback treatment is applied to each sound object for playing back via at least one loudspeaker of the device, which treatment depends on the diffuse or localized nature of the object and on its position relative to the window, and includes creating at least one virtual source outside the window from loudspeakers of the device when the object is estimated as being diffuse or positioned outside the window.

The present invention discloses a feature selection based multi-example multi-tag learning method and system. The method comprises: mapping all features of a packet in a known data set into a projection example reference space consisting of all examples in the known data set, and obtaining a feature vector of the packet; removing projection examples corresponding to the features of the packet with an invalidly marked tag in the projection example reference space by adopting a feature selection method based on l2 and 1 norm constraints, and further obtaining a representative projection example reference space; mapping the features of the packet into the representative projection example reference space, and obtaining a new feature vector of the packet; and constructing a linear decision function according to the new feature vector of the packet, and training a classifier based on tag correlation by adopting an optimal algorithm based on the tag correlation. By using the method provided by the present invention, the classifier based on the tag correlation is obtained by learning by utilizing the known database, so that a tag set of unknown samples is predicted and the accuracy of tag prediction is improved.