288results about How to "Accurate mapping" patented technology

An image guided catheter navigation system for navigating a region of a patient includes an imaging device, a tracking device, a controller, and a display. The imaging device generates images of the region of the patient. The tracking device tracks the location of the catheter in the region of the patient. The controller superimposes an icon representing the catheter onto the images generated from the imaging device based upon the location of the catheter. The display displays the image of the region with the catheter superimposed onto the image at the current location of the catheter.

An image guided navigation system for navigating a region of a patient which is gated using ECG signals to confirm diastole. The navigation system includes an imaging device, a tracking device, a controller, and a display. The imaging device generates images of the region of a patient. The tracking device tracks the location of the instrument in a region of the patient. The controller superimposes an icon representative of the instrument onto the images generated from the imaging device based upon the location of the instrument. The display displays the image with the superimposed instrument. The images and a registration process may be synchronized to a physiological event.

Arrangement for transferring information between a vehicle and one or more transmitters separate from the vehicle includes an antenna mounted on the vehicle and capable of receiving radio frequency waves emitted by the transmitter and containing information, a position determining device for determining the position of the vehicle, and a processor coupled to the antenna and the position determining device and arranged to analyze the waves received by the antenna, determine whether any received waves contain information of interest for operation of the vehicle based on the vehicle's position as determined by the position determining device, and extract the information of interest only from the received waves determined to contain information of interest. The information of interest may be information about the transmitter such as its location, speed, velocity, etc., or information relating to road conditions, weather and the like.

A device for determining the surface topology and associated color of a structure, such as a teeth segment, includes a scanner for providing depth data for points along a two-dimensional array substantially orthogonal to the depth direction, and an image acquisition means for providing color data for each of the points of the array, while the spatial disposition of the device with respect to the structure is maintained substantially unchanged. A processor combines the color data and depth data for each point in the array, thereby providing a three-dimensional color virtual model of the surface of the structure. A corresponding method for determining the surface topology and associated color of a structure is also provided.

The invention discloses an ORB key frame closed-loop detection SLAM method capable of improving the consistency of the position and the pose of a robot. The ORB key frame closed-loop detection SLAM method comprises the following steps of, firstly, acquiring color information and depth information of the environment by adopting an RGB-D sensor, and extracting the image features by using the ORB features; then, estimating the position and the pose of the robot by an algorithm based on RANSAC-ICP interframe registration, and constructing an initial position and pose graph; and finally, constructing BoVW (bag of visual words) by extracting the ORB features in a Key Frame, carrying out similarity comparison on the current key frame and words in the BoVW to realize closed-loop key frame detection, adding constraint of the position and pose graph through key frame interframe registration detection, and obtaining the global optimal position and pose of the robot. The invention provides the ORB key frame closed-loop detection SLAM method with capability of improving the consistency of the position and the pose of the robot, higher constructing quality of an environmental map and high optimization efficiency.

An image guided navigation system for navigating a region of a patient includes an imaging device, a tracking device, a controller, and a display. The imaging device generates images of the region of a patient. The tracking device tracks the location of the instrument in a region of the patient. The controller superimposes an icon representative of the instrument onto the images generated from the imaging device based upon the location of the instrument. The display displays the image with the superimposed instrument. The images and a registration process may be synchronized to a physiological event. The controller may also provide and automatically identify an optimized site to navigate the instrument to.

A sensor system, method, and computer program product for determining physical characteristics of individual plants within a row located in an agricultural environment is provided. Embodiments of the present invention include, but are not limited to, a sensor assembly including a plurality of emitters and a corresponding plurality of receivers disposed substantially opposite one another such that the receivers may receive a plurality of signals emitted by said emitters to generate a binary profile image of each plant within a row of plants positioned along a row axis. Embodiments of the present invention also include supplementary sensors for determining other plant characteristics including leaf pattern and plant location along the row axis. The method and computer program product embodiments of the present invention may also differentiate selected plants of interest from invasive or weed species using the outputs of the sensor device of the present invention.

A device for detecting and compensating field distortion in underground line locators by means of mapping the field-strength of the field generated by electrical currents within the buried line. Signals from the underground structure can be mapped with respect to the position of the device. From the map, distortions from the expected signals can be determined, indicating interference from other structures or errors in detected location of the structure.

Embodiments of the present invention comprise a system for positioning a drawn implement having a transverse tool bar being pulled by a vehicle traveling generally along a desired path of movement, the vehicle having a mounting hitch on the rear end thereof where a system hitch is configured to adjust its angular orientation and that of the tool bar relative to the vehicle mounting hitch and a global positioning system having an antenna mounted on the system hitch operable to detect the position of the tool bar of the implement relative to the desired path as the vehicle moves generally along the desired path and generate a signal that is indicative of the lateral position of the implement relative to the desired path and means for controlling the hitch means to adjust the angular orientation of the hitch means and the tool bar so that the implement follows the desired path of movement in response to the global positioning system signals.

A computer implemented method for mapping data from one presentation to another includes capturing and transmitting the context of an original report based on an originating data source such that it preserves the organization of the query and variable levels of context “fidelity”. The context of the originating report is translated in terms of the originating data source to a target context for presentation of a target report based on a target data source. The translation of different mapping scenarios is controlled in accordance with a translation model with a translation map.

A dynamic wake avoidance system utilizes aircraft and atmospheric parameters readily available in flight to model and predict airborne wake vortices in real time. A novel combination of algorithms allows for a relatively simple yet robust wake model to be constructed based on information extracted from a broadcast. The system predicts the location and movement of the wake based on the nominal wake model and correspondingly performs an uncertainty analysis on the wake model to determine a wake hazard zone (no fly zone), which comprises a plurality of “wake planes,” each moving independently from another. The system selectively adjusts dimensions of each wake plane to minimize spatial and temporal uncertainty, thereby ensuring that the actual wake is within the wake hazard zone. The predicted wake hazard zone is communicated in real time directly to a user via a realistic visual representation. In an example, the wake hazard zone is visualized on a 3-D flight deck display to enable a pilot to visualize or “see” a neighboring aircraft as well as its wake. The system substantially enhances the pilot's situational awareness and allows for a further safe decrease in spacing, which could alleviate airport and airspace congestion.

An image guided catheter navigation system for navigating a region of a patient includes an imaging device, a tracking device, a controller, and a display. The imaging device generates images of the region of the patient. The tracking device tracks the location of the catheter in the region of the patient. The controller superimposes an icon representing the catheter onto the images generated from the imaging device based upon the location of the catheter. The display displays the image of the region with the catheter superimposed onto the image at the current location of the catheter.

Some embodiments provide a novel method for configuring a set of service one or more nodes on a host to perform context-rich, attribute-based services on the host computer, which executes several data compute nodes (DCNs) in addition to the set of service nodes. The method uses a context-filtering node on the host to collect a first set of attributes associated with service rules processed by the set of service nodes on the host computer. The context filter also collects a second set of attributes associated with at least one data message flow of a DCN (e.g., of a virtual machine (VM) or container) executing on the host. After collecting the first and second sets of attributes, the context filtering node on the host compares the first and second sets of attributes to generate a service tag to represent a subset of the first set of attributes associated with the data message flow. The method associates this service tag with the data message flow. This service tag can then be used to identify the subset of attributes associated with the data message flow when a service node needs to process its attribute-based service rules for the data message flow.

The invention discloses an ReLU convolutional neutral network-based image denoising method. The method comprises the following steps of building an ReLU convolutional neutral network model, wherein the ReLU convolutional neutral network model comprises a plurality of convolutional layers and active layers after the convolutional layers, wherein the active layers are ReLU functions; selecting a training set, and setting training parameters of the ReLU convolutional neutral network model; training the ReLU convolutional neutral network model by taking a minimized loss function as a target according to the ReLU convolutional neutral network model and the training parameters of the ReLU convolutional neutral network model to form an image denoising neural network model; and inputting a to-be-processed image to the image denoising neural network model, and outputting a denoised image. According to the ReLU convolutional neutral network-based image denoising method disclosed by the invention, the learning ability of the neural network is greatly enhanced, accurate mapping from noisy images to clean images is established, and real-time denoising can be realized.

A natural language understanding system is described to provide generation of concept codes from free-text medical data. A probabilistic model of lexical semantics, is implemented by means of a Bayesian network, and is used to determine the most probable concept or meaning associated with a sentence or phrase. The inventive method and system includes the steps of checking for synonyms, checking spelling, performing syntactic parsing, transforming text to its "deep" or semantic form, and performing a semantic analysis based on a probabilistic model of lexical semantics.

This work discloses a unicast, end-to-end network performance measurement process which is capable of determining internal network losses, delays, and probability mass functions for these characteristics. The process is based on using groups of closely-spaced communications packets to determine the information necessary for inferring the performance characteristics of communications links internal to the network. Computationally efficient estimation algorithms are provided.

A sensor system, method, and computer program product for determining physical characteristics of individual plants within a row located in an agricultural environment is provided. Embodiments of the present invention include, but are not limited to, a sensor assembly including a plurality of emitters and a corresponding plurality of receivers disposed substantially opposite one another such that the receivers may receive a plurality of signals emitted by said emitters to generate a binary profile image of each plant within a row of plants positioned along a row axis. Embodiments of the present invention also include supplementary sensors for determining other plant characteristics including leaf pattern and plant location along the row axis. The method and computer program product embodiments of the present invention may also differentiate selected plants of interest from invasive or weed species using the outputs of the sensor device of the present invention.

A label applicator system provides for high speed, accurate label transfer from a web to items moving on an item transport along a path relative to the system. The items, such as bottles, have a contoured surface. The applicator includes a supply reel for supplying labels on a web and a take-up for taking up the web after transfer of the label. A drive roller moves the web through the applicator system. The system includes a web positioning assembly and a movable label applicator head. A contour sensor senses the bottle contour and develops a profile for the head to follow to apply the labels to the bottles. The supply, take-up and the drive are operably engaged with one another to maintain a relatively constant tension in the web. The web positioning assembly is configured to advance and retract the web to accommodate a pitch difference between the bottles in the bottle transport and the labels on the web and to accommodate movement of the decorating head toward and away from the bottles in the bottle transport.

A method of locating and decoding a two-dimensional machine-readable symbol in a digital image, where the symbol has three finder patterns adjacent respective corners of the symbol, takes into account the possibility of skew and pitch when delineating the symbol in the digital image by estimating the unknown fourth corner based on lines passing through known symbol edge points. On the basis of the delineating, a reference grid is mapped to the digital image and a bit stream is extracted based on the mapping.

Alphabetic filtering of the speech recognition of words uses a key press to indicate a desired character in an alphabetic filter string, where each key press represents two or more letters. The key presses can be disambiguated by recognizing a key-disambiguation utterance in association with a given key press. A user can select a desired recognition candidate from a choice list produced by such filtered word recognition. Ambiguous alphabetic filtering can be performed iteratively in response to the addition of successive ambiguous key presses. A user can select to re-recognize the utterance using filtering based on ambiguous key input after seeing the results of recognition without such filtering. Unambiguous alphabetic filtering can be performed by using multiple presses of an ambiguous key to disambiguate which letter is intended. A user can select between entering text by either large vocabulary speech recognition or by spelling text by pressing phone keys.

A system for capturing the context of, and translating, or mapping, from data in an originating database presentation, or in an originating format, to data in a target database presentation, or target format. The translation uses the context of the originating report / query in terms of the originating database as a basis for the translation. The originating context is translated to the target context and is used to accurately map data from one presentation to another. By using a context and a translation map, which define specifics of the translation between contexts against different data sources, the invention is able to achieve a mapping engine that can efficiently map data between databases of different types. The translation map includes rules set automatically by the system, or set by a human administrator. The rules permit special treatment of different mapping scenarios. For example, specified types of mappings can be prevented so that selected users will be denied the ability to access restricted target information. Member exceptions are used that permit mapping between different data models, as, for example, where rows or columns in an originating data source (e.g. OLAP) are not present in a target data source (e.g. Relational). Other aspects of the invention include using supplemental member translations, translating items in an OLAP level to more than one translation object, delegating data items in cases where there is little or no correspondence between data models, translating a data item to a plurality of data items, translating a data item to a range, and additional aspects. An administrator interface is provided to create, modify, monitor and manage a mapping system.

In order for the feature extractors to operate with sufficient accuracy, a high degree of training is required. In this situation, a neural network implementing the feature extractor may be trained by providing it with images having known correspondence. A 3D model of a city may be utilized in order to train a neural network for location detection. 3D models are sophisticated and allow manipulation of viewer perspective and ambient features such as day / night sky variations, weather variations, and occlusion placement. Various manipulations may be executed in order to generate vast numbers of image pairs having known correspondence despite having variations. These image pairs with known correspondence may be utilized to train the neural network to be able to generate feature maps from query images and identify correspondence between query image feature maps and reference feature maps. This training can be accomplished without requiring the capture of real images with known correspondence. Capture of real images with known correspondence is cumbersome, time and resource-intensive, and difficult to manage.

The invention discloses an image de-noising method based on a convolution pair neural network, comprising the following steps: building a convolution pair neural network model, wherein the convolution pair neural network model includes multiple convolution pairs and corresponding activation layers; selecting a training set, and setting the training parameters of the convolution pair neural network model; according to the convolution pair neural network model and the training parameters thereof, training the convolution pair neural network model with the goal of loss function minimizing to form an image de-noising neural network model; and inputting a to-be-processed image to the image de-noising neural network model, and outputting a de-noised image. Through the image de-noising method based on a convolution pair neural network disclosed by the invention, the learning ability of the neural network is enhanced greatly, accurate mapping from noisy images to clean images is established, and real-time de-noising is realized.

Some embodiments provide a computer program for performing a color matching operation. The computer program identifies first and second images. Each image includes several pixels. Each pixel includes a hue component value. The computer program identifies a set of hue ranges for the first image based on analysis of the hue component values of pixels in the first image. The computer program identifies a set of hue ranges for the second image based on analysis of the hue component values of pixels in the second image. The computer program modifies pixel values of the first image to match pixel values of the second image based on the sets of hue ranges for the first and second images.

The Mobile Pulse System makes use of a client application which is installed in each mobile device of a customer to obtain dynamic measurements of the service that is provided to the mobile device by a wireless service provider. These client applications perform frequent tests to determine the level of service that they are presently receiving, which test results are transmitted to the Mobile Pulse System server for compilation and analysis. As a result of the number and diversity of these tests, the server can accurately map the level of service that is being provided by the wireless service provider to a customer. The server can portray the level of service as a function of the type of mobile device used by the customer, specific locations within the service area, time of day, type of communications, and other such relevant parameters.

The invention discloses a subject evaluation system and method based on a knowledge point system. The subject evaluation system and method based on a knowledge point system comprise a database module, a knowledge point selection module, a quiz evaluation module and a stage-passing grade module, wherein the database module comprises a quiz unit and a knowledge point unit; the quiz unit comprises a quiz sub unit, a quiz analysis sub unit and a quiz difficulty level sub unit, and is used for selecting questions for a test and automatically judging the test performance when a student submits the questions; each test question of the quiz sub unit is related with one or more knowledge points in the knowledge point unit; the knowledge point selection unit comprises a chapter selection unit, a blind test, a difficulty selection unit and a quiz generation unit; and the quiz evaluation module is used for evaluating the test paper completed by the student and the situation about mastering of knowledge points. The subject evaluation system and method based on a knowledge point system forms an objective and reasonable evaluation reference for learning and mastering of knowledge points for students, and provides an accurate basis for 'what to practice' for students so as to comprehensively improve the learning efficiency.

A method and apparatus for obtaining a color mapping of a dental object. Illumination is directed toward the object over at least first, second, and third wavelength band, one band at a time. An image of the dental object is captured at each wavelength band to form a set of images of the dental object. For pixels in the captured set of images, an image data value for the pixel corresponds to each of the wavelength bands and calculates interpolated image data values proportional to the spectral reflectance of the dental object, according to the obtained image data values and according to image data values obtained from a reference object at the wavelength bands. Spectral distribution data for a viewing illuminant is obtained and the visual color of the dental object reconstructed according to the calculated interpolated image data values and the obtained spectral distribution of the viewing illuminant.

An approach is provided for generating a high dynamic range image from a low dynamic range image. The generation is performed using a mapping relating input data in the form of input sets of image spatial positions and a combination of color coordinates of low dynamic range pixel values associated with the image spatial positions to output data in the form of high dynamic range pixel values. The mapping is generated from a reference low dynamic range image and a corresponding reference high dynamic range image. Thus, a mapping from the low dynamic range image to a high dynamic range image is generated on the basis of corresponding reference images. The approach may be used for prediction of high dynamic range images from low dynamic range images in an encoder and decoder. A residual image may be generated and used to provide improved high dynamic range image quality.