452 results about "Graphical model" patented technology

A watermark system includes an embedder, detector, and reader. The watermark embedder encodes a watermark signal in a host signal to create a combined signal. The detector looks for the watermark signal in a potentially corrupted version of the combined signal, and computes its orientation. Finally, a reader extracts a message in the watermark signal from the combined signal using the orientation to approximate the original state of the combined signal. While adapted for images, video and audio, the watermark system applies to other electronic and physical media. For example, it can be applied to mark graphical models, blank paper, film and other substrates, texturing objects for ID purposes, etc.

A method of matching a pose of a synthesised representation of a human or animal body to a captured image of that human or animal body is provided, which can be used to generate a graphical model of the body when disposed on a plane, such as a synthesised model of a football player on a field of play. The method includes receiving the captured image data, determining from the captured image data a plurality of limb position estimates, each position estimate corresponding to an amount by which limbs of the body are separated with respect to each other and deriving from the plurality of limb positions an estimated gait phase of the body. The estimated gait phase is then applied to a basis gait model in order to provide an estimated pose of the body, the basis gait model comprising data which defines a displacement of the limbs or parts thereof with respect to a gait cycle period. The estimated pose is then matched to that of the synthesised representation of the body.

A watermark system includes an embedder, detector, and reader. The watermark embedder encodes a watermark signal in a host signal to create a combined signal. The detector looks for the watermark signal in a potentially corrupted version of the combined signal, and computes its orientation. Finally, a reader extracts a message in the watermark signal from the combined signal using the orientation to approximate the original state of the combined signal. While adapted for images, video and audio, the watermark system applies to other electronic and physical media. For example, it can be applied to mark graphical models, blank paper, film and other substrates, texturing objects for ID purposes, etc.

A method of generating graphical models for providing security analysis in computer networks that in one embodiment includes the steps of generating a type abstract graph independent of particular networks that models abstract dependency relationships among attributes and exploits; generating network-specific attack graphs by combining the type abstract graph with specific network information; monitoring an intruder alert; and generating a real-time attack graph by correlating the intruder alert with the network-specific attack graph. The real-time attack graph can be generated using reachability checking, bridging, and exploit prediction based on consequence alerts and may further include the step of calculating the likelihood of queries using a Bayesian network model. The method may also include the steps of inferring unobserved attacks that may have been missed by intrusion detection sensors, and projecting on which hosts and using what exploits additional intruder attacks may occur. The method may further include the step of comparing alternate actions by computation, wherein the alternate actions include the step of patching some vulnerabilities, and wherein the specific network information includes network topology. The specific network information may also include firewall rules.

Methods and systems are provided for partitioning and distributing the model processing of a graphical model to provide an executable form of the graphical model. The methods and systems determine tasks of the model processing that can be processed separately and concurrently from other tasks. A distribution scheme for distributing the model processing tasks is determined that considers the characteristics of the model processing tasks in view of the characteristics of available computing resources. Variations of partitioning and distributing the model processing tasks can be determined to provide for distributed processing in an optimized or desired manner. The results of the distributed processing of the model processing tasks are obtained and combined to provide an executable form for the graphical model.

A system for visualizing concepts within a collection of information analyzes a set of materials from at least one collection of information and defines an attribute space associated with the set of materials. The system then determines automatically similarity of members of the attribute space. The system then generates a graphical model of the members of the attribute space, where the generating includes generating a display of the members of the attribute space, each of the members having a respective display distance from other respective members of the attribute space reflective of the determined similarity.

The surveillance visualization system extracts information from plural cameras to generate a graphical representation of a scene, with stationary entities such as buildings and trees represented by graphical model and with moving entities such as cars and people represented by separate dynamic objects that can be coded to selectively reveal or block the identity of the entity for privacy protection. A power lens tool allows users to specify and retrieve results of data mining operations applied to a metadata store linked with objects in the scene. A distributed model is presented where a grid or matrix is used to define data mining conditions and to present the results in a variety of different formats. The system supports use by multiple persons who can share metadata and data mining queries with one another.

A system for the representation, editing, evaluation, and inference of graphical models is disclosed which can be used to construct and evaluate a graphical model or graphical network and to calculate inference values. An efficient method of updating graphical models is demonstrated, and provides the basis for an improved system for manipulation and evaluation of probabilistic models. The graphical network editor is useful in the construction of graphical modes such as Bayesian Networks. The graphical network and network graphical user interface (GUI) are used in conjunction with each other to model a system wherein failure probabilities and the current state of components are taken into account to monitor the health and progress of a system for an engineer or engineering software to evaluate and monitor. The evaluation is useful in the monitoring of assets and other real systems having multiple, dependent, and independently operating components such as a pump, a manufacturing plant, a production line, an assembly line, where asset health and quality control is a concern. The asset components each influencing some overall outcome of a system or situation. Success or failure or probability of success, probability of failure and health of the system can be monitored and manipulated by altering the values of prior probability and posterior probability values. Failure correlation between components can be evaluated wherein failure rates of asset is unknown. Production and quality can be monitored and altered.

A method and system are provided for generating code from a graphical model in a graphical modeling environment. The graphical model includes at least one signal having a data size, a data dimensionality, or both that can vary from a first time instance to a second time instance as the model executes. The size and dimensionality of the signal can vary without the use of a graphically rendered connection to convey the size and dimension information to a block associated with the signal. The generated code includes the attributes of the signal.

The present invention allows a user to graphically define a hierarchy of user-defined, executable classes of graphical objects that can be implemented in a graphical model. The present invention supports the features of inheritance, abstraction and polymorphism. Further, descendant classes of graphical objects can graphically extend the behavior and/or structure of ancestor classes of graphical objects.

In a graphical modeling environment, a preview of code generated in response to a selected component in a graphical model is presented using a graphical user interface. The code preview provides feedback to a user regarding the impact of the settings for the selected component, allowing the user to observe the effect of certain settings before generating code for the entire graphical model. The code preview may be presented through the same graphical user interface used to select the settings for the component, or a separate graphical user interface.

A system, computer-readable medium, and method for creating an annotated 3D model are provided. First, 3D coordinates of at least two real alignment points for/on a real object are acquired. Second, 3D virtual space, in which a 3D model exists, is merged with 3D real space, in which the real object exists, to thereby align the 3D model with the real object, by matching at least two virtual alignment points of the 3D model with the at least two real alignment points of the real object. Third, an annotated 2D image/video of the real object is prepared and projected to surfaces of the 3D model by translating a 3D coordinate and orientation of the visual sensor in the 3D real space used to acquire the annotated 2D image/video to a 3D coordinate and orientation of the visual sensor in the 3D virtual space, to thereby create an annotated 3D model.

A watermark system includes an embedder, detector, and reader. The watermark embedder encodes a watermark signal in a host signal to create a combined signal. The detector looks for the watermark signal in a potentially corrupted version of the combined signal, and computes its orientation. Finally, a reader extracts a message in the watermark signal from the combined signal using the orientation to approximate the original state of the combined signal. While adapted for images, video and audio, the watermark system applies to other electronic and physical media. For example, it can be applied to mark graphical models, blank paper, film and other substrates, texturing objects for ID purposes, etc.

Apparatus and methods according to some embodiments of the present invention use a graphical model, such as a Markov random field model, to represent principal driving directions within an environment. The model has a plurality of nodes representing spatial locations within the environment, and the principal direction for each node is determined probabilistically using linear features detected within an image of the environment. Apparatus and methods according to embodiments of the present invention can be used in improved autonomous navigation systems, such as robotic vehicles.

The preferred embodiment provides an ultra-wide band radio frequency real-time location system (RTLS), synchronized with a GPS location system to provide reliable location data, in and around concrete and steel superstructures to a BIM graphic model system, to gather and display worker location data and coordinate its display for use. The RTLS system continuously locates each participant through the use of an active RFID tag and/or GPS location device, which may be placed in a personnel badge and verified. The location system logs the participant locations in a database for real-time information retrieval and upload into a BIM display system.

A financial scenario modeling and analysis tool, including a graphical user interface which enables a user of the tool to create a graphical model of a financial scenario, generally including at least one financial transaction, on a display screen, and an engine operable, in response to creation of the graphical model, to automatically generate information, such as financial or mathematical information, which at least partially models at least a part of the financial scenario using information collected by the engine during creation of the graphical model. The graphical user interface enables the user to create party graphics respectively representing parties to the financial deal, and to generate financial instrument graphics representing financial instruments, wherein each financial instrument graphic connects two of the party graphics. The engine generates, in response to the creation of a graphical model, an instrument information, such as an object or template, for each of the instruments in the graphical model. The tool includes a natural date language and a formula language for use in modeling a scenario. The tool enables optimization of optimizable parameters defined in the scenario, and includes a user-friendly, book-like and CAD-like user interface. A “Cockpit” comprising a number of modules is provided to the tool to enable a user to structure partnerships. Also, a number of partnership calculations can be performed and a number of reports generated for communicating and interpreting the effects and results of the assumptions and structural options provided in the Cockpit modules.

Exemplary apparatus, method, and system embodiments provide for accelerated hardware processing of an action script for a graphical image for visual display. An exemplary method comprises: converting a plurality of descriptive elements into a plurality of operational codes which at least partially control at least one processor circuit; and using at least one processor circuit, performing one or more operations corresponding to an operational code to generate pixel data for the graphical image. Another exemplary method for processing a data file which has not been fully compiled to a machine code and comprising interpretable descriptions of the graphical image in a non-pixel-bitmap form, comprises: separating the data file from other data; parsing and converting the data file to a plurality of hardware-level operational codes and corresponding data; and performing a plurality of operations in response to at least some hardware-level operational codes to generate pixel data for the graphical image. Exemplary embodiments also may be performed automatically by a system comprising one or more computing devices.

The present invention is a method and system to provide a face-based automatic ethnicity recognition system that utilizes ethnicity-sensitive image features and probabilistic graphical models to represent ethnic classes. The ethnicity-sensitive image features are derived from groups of image features so that each grouping of the image features contributes to more accurate recognition of the ethnic class. The ethnicity-sensitive image features can be derived from image filters that are matched to different colors, sizes, and shapes of facial features—such as eyes, mouth, or complexion. The ethnicity-sensitive image features serve as observable quantities in the ethnic class-dependent probabilistic graphical models, where each probabilistic graphical model represents one ethnic class. A given input facial image is corrected for pose and lighting, and ethnicity-sensitive image features are extracted. The extracted image features are fed to the ethnicity-dependent probabilistic graphical models to determine the ethnic class of the input facial image.

The present invention allows a user to graphically define a hierarchy of user-defined, executable classes of graphical objects that can be implemented in a graphical model. The present invention supports the features of inheritance, abstraction and polymorphism. Further, descendant classes of graphical objects can graphically extend the behavior and/or structure of ancestor classes of graphical objects.

Graphical programming or modeling environments, such as a block diagram environment, are disclosed in which dependencies that influence how a model executes are defined without altering the visual representation of the model. In the graphical modeling or programming environment, users create a model that describes how the system is to execute. The users can then augment the model with non-graphical dependencies that provide general execution goals or specific dependencies between blocks. The user can augment the graphical model with dependency constraints specifying how the model should execute. The constraints are coupled to the model and can be optionally displayed on the model in a debugging/analysis mode to provide further insight into how the model executes.

The computational efficiency of Finite Element Methods (FEM) on parallel architectures is typically severely limited by sparse iterative solvers. Standard iterative solvers are based on sequential steps of global algebraic operations, which limit their parallel efficiency, and prior art techniques exploit sophisticated programming techniques tailored to specific CPU architectures to improve performance. The inventors present a FEM Multigrid Gaussian Belief Propagation (FMGaBP) technique that eliminates global algebraic operations and sparse data-structures based upon reformulating the variational FEM into a probabilistic inference problem based upon graphical models. Further, the inventors present new formulations for FMGaBP, which further enhance its computation and communication complexities where the parallel features of FMGaBP are leveraged to multicore architectures.

This disclosure describes, generally, tools to allow more intuitive display and/or definition of ranges in software applications. Merely by way of example, a software application might include a user interface that has a graphical element (such as a line, a bar, and/or the like) that represents a spectrum of values. The application might further include one or more markers that serve to define boundaries of one or more ranges within the spectrum. By allowing a user to move the markers (through manipulation of the markers using a mouse, typing values for the markers, and/or the like), the interface can allow the user to quickly and easily define different ranges of values and/or to view defined ranges. In an aspect, a marker (and/or an accompanying indicator) may be configured to indicate to the user whether the value represented by the marker falls within or outside the range bounded by the marker.