448 results about "Vector field" patented technology

A Flogrid Simulation Gridding Program includes a Flogrid structured gridder. The structured gridder includes a structured areal gridder and a block gridder. The structured areal gridder will build an areal grid on an uppermost horizon of an earth formation by performing the following steps: (1) building a boundary enclosing one or more fault intersection lines on the horizon, and building a triangulation that absorbs the boundary and the faults; (2) building a vector field on the triangulation; (3) building a web of control lines and additional lines inside the boundary which have a direction that corresponds to the direction of the vector field on the triangulation, thereby producing an areal grid; and (4) post-processing the areal grid so that the control lines and additional lines are equi-spaced or smoothly distributed. The block gridder of the structured gridder will drop coordinate lines down from the nodes of the areal grid to complete the construction of a three dimensional structured grid. A reservoir simulator will receive the structured grid and generate a set of simulation results which are displayed on a 3D Viewer for observation by a workstation operator.

A method of analyzing and recognizing fingerprint images that utilizes vector processing of a vector field that is defined as the tangential vector of the fingerprint ridge curves is disclosed. The raw fingerprint image is divided into blocks, filtered to remove noise, and the orientation direction of each block is found. This allows the ridge curves to be enhanced and approximated by piece-wise linear approximations. The piece-wise linear approximations to the ridge curves allow the minutiae to be extracted and classified and a fingerprint minutiae template to be constructed. An enrollment process gathers multiple fingerprint images, creates fingerprint minutiae templates corresponding to the acquired fingerprint images, and stores the templates and other data associated with the respective individual or the enrolled fingerprint in a fingerprint database. In an identification process, an unknown raw fingerprint image is obtained via a fingerprint scanner and processed similarly to the enrollment process such that the fingerprint minutiae template of the unknown fingerprint is compared to one or more previously enrolled fingerprint minutiae templates. The identity of the individual associated with the unknown fingerprint is thereby ascertained. In addition, live finger detection can be accomplished in conjunction with the verification or identification process through analysis of the fingerprint image thus enhancing the security of the overall system.

The invention in one embodiment is an apparatus for compressing multi-view video data from a first view and a second view. The apparatus comprises a first encoder receiving a first set of video data from the first view, encoding the first set of video data and transmitting the encoded first set of video data. The apparatus further comprises a second encoder that includes an estimator and a codec. The estimator receives the encoded first set of video data from the first encoder, receives a second set of video data from the second view, generates a pixel-based disparity vector field from the received first and second sets of video data, and transmits the disparity vector field. The codec receives the vector disparity field from the estimator, encodes the received vector disparity vector field with motion compensated disparity, and transmits the encoded disparity vector field.

Techniques for segmenting data include receiving reference segmentation data and target data. The reference segmentation data defines a mesh indicating a boundary of a physical component in a reference body. The target data includes measured values at coordinates within a target body. Coordinates for vertices of the mesh are moved toward nearby edges in values of the target data. The adjustment also may be based on deviations from adjacent vertices or from a three dimensional generalized gradient vector field. The mesh may be initially transformed by a particular transformation that automatically maximizes a similarity measure between the target data and reference data. The reference data includes measured values within the reference body. The reference segmentation also may define a second mesh that indicates a second boundary in the reference body, and the adjustment is also based on an adjusted distance between the mesh and the second mesh.

The invention provides an improved VFH algorithm-based positioning and obstacle avoidance method and robot. According to the improved VFH algorithm-based positioning and obstacle avoidance method and robot, on the basis of an improved vector field histogram method and a scan matching algorithm, environmental information is acquired by the adoption of a laser range-finder sensor, and the pose error brought by speedometer is amended by the adoption of the polar coordinate scan matching algorithm. After robot positioning is finished, environmental information is rasterized, an obstacle is expanded according to the relationship between the robot and the obstacle and considering the sensing uncertainty of a movable robot and the real size of the robot, an original polar coordinate histogram is built, the free walking area and the obstacle avoidance area are acquired, a binary polar coordinate histogram is acquired through the definition of two threshold values, a shielding polar coordinate histogram is built through estimating the movement trail of the movable robot, and finally, the cost function is introduced to determine the best movement direction of the robot so as to solve the problem of shielding route planning of the movable robot in a home environment.

A system for creation of stereoscopic 3D images, including a disparity map initializer, for deriving one or more initial disparity maps represented as vector fields of translations between aligned left and right images of a scene, a disparity map generator, coupled with the disparity map initializer, for deriving disparity maps for the aligned left and right images, from the initial disparity maps, and a view renderer, coupled with the disparity map generator, for rendering stereoscopic 3D images, from the aligned left and right images, and from the disparity maps. A method for creating stereoscopic 3D images is also described and claimed.

A network switch configured for switching data packets across multiple ports uses an address table to generated frame forwarding information. The switch receives frame information including a source address and destination address along with a virtual local area network (VLAN) ID, if applicable. A decision-making engine searches a network address table to "learn" Medium Access Control (MAC) addresses without having to store receive port numbers by embedding the receive port number in the stored port vector fields.

The method (100) involves determining a dense motion vector field (Vn) for an actual image area (In) of an image sequence by comparison with an image area (In-1) of the image sequence. A confidence vector field (Kn) is determined for the actual image area, which indicates a confidence value for a motion vector for the motion vector field. Motion vector field reconstruction parameters (FP) for the actual image area are determined based on the motion and confidence vector fields. The motion vector field is reconstructed by using the reconstruction parameters. Independent claims are also included for the following: (1) a method for decoding an image sequence (2) a method for transmission and / or storage of an image sequence (3) an image coding device (4) an image decoding device (5) a system for transmission and / or storage of an image sequence (6) a computer program comprising instructions for executing a method for compression of image sequence.

A method, apparatus and system for, in a computing system, modeling a subsurface structure at a time period when the structure was originally formed. A memory may store a first model having a plurality of non-planar horizons representing a current state of the subsurface structure. A processor may compute a vector field based on the non-planar geometry of the horizons of the first model. The vector field may be a non-uniform vector field (e.g., the axe and / or co-axe vector field) or a uniform vector field (e.g., a global axis). Using the vector field, the processor may transform geographic coordinates of the first model to paleo-geographic coordinates of a second model representing a predicted state of the subsurface structure at a time period when the subsurface structure was originally formed, where the non-planar horizons in the first model are transformed to planar horizons in the second model. A display may display the first model.

The invention relates to a real-time multi-target human body 2D attitude detection system and method. The system comprises an image acquisition module used for acquiring image data, a real-time processing module used for inputting the image data to the neural network for learning and prediction and generating the human body attitude information according to a hot spot map of the acquired joint point position and a hot spot map of the direction vector field among joint points, and a visual display module used for presenting the predicted human body attitude information to users in a line connection mode. The system is advantaged in that the depth learning method is utilized to encode the joint position and the position and the direction of bones formed by joints through interconnection, accurate human body 2D attitude estimation of a single image is realized, for complex people gathering conditions, multiple human body attitudes of the scene can be accurately estimated, the users are facilitated to carry out further analysis processing and mining of the human body attitudes, and next behaviors are predicted.

A method is disclosed for automatically extending interpreter horizon picks over a wider area of traces in such manner that the automatically generated picks are very similar to picks that an interpreter would pick manually. The method applies optical filters to seismic sections to determine the intrinsic orientation of seismic events. Seismic orientation is captured in the Orientation Vector Field, which is then used to guide the picking process.

The invention provides a depth map coding method and a device. The depth map coding method includes establishing a plurality of partition lines which are used for performing wedge-shape partition to a depth macro block, and forming the partition lines into a partition set; using an intra coding mode to code the depth micro block to obtain a first rate-distortion cost value; judging whether an inter coding mode is used for coding the depth micro block and using the inter coding mode to code the depth micro block to obtain a second rate-distortion cost value if the inter coding mode is used for coding the depth micro block; and continuing judging whether the depth micro block contains a discontinuous motion vector field and using a geometric partitioning coding mode to code the depth micro block if the depth micro block contains the discontinuous motion vector field, wherein the geometric partitioning coding mode includes selecting an optimal partition line to partition the depth micro block to obtain a first depth subdomain and a second depth subdomain and subjecting the two subdomains to predictive coding to obtain a third rate-distortion cost value; and comparing the rate-distortion cost values in different coding modes so as to select the coding mode with the minimum rate-distortion cost value for coding the depth micro block. According to the depth map coding method and the device, depth map compression efficiencies are improved, and coding complexities are reduced.

The invention relates to a vector-field-based small-sized unmanned plane wind-field anti-interference self-adaptive control method, which relates to track design, establishment of track control vector field and design of slip-form variable structural controller of small-sized unmanned plane scientific research task. The motion of a small-sized unmanned plane is simplified to plane control and trans-lateral control through the plan of the scientific research task, the plane track plan is realized on the basis of a transitional connection point principle, and an expected complicated track is decomposed into a series of expected tracks consisting of circle arc sections with different circle centers and radiuses and straight sections; then a track control vector field of each expected track section is respectively established for the decomposed straight sectional expected track and the decomposed circle arc sectional expected track on the basis of the position error between the current position of the small-sized unmanned plane and the expected track; and the high-precision track control of the small-sized unmanned plane under the wind interference environment can be realized through the slip-form variable structure self-adaptive control method. The method has the advantages of good real-time performance, fast dynamic parameters, strong adaptability to the wind field interference and the like, and can be used for the high-precision control of the small-sized unmanned plane in a complicated environment.

The invention discloses a quick motion estimation method of multi-view video coding, comprising the following steps of: carrying out spatial median filtering on a motion vector field of coded frames of adjacent views; calculating an overall parallax vector between the current view and the adjacent view by using a parallax vector field of the coded frame of the current view; selecting a reference motion vector from the filtered motion vector field by using the overall parallax vector; selecting a searching center of motion estimation by using the reference motion vector and the spatial motion vector of adjacent estimated blocks; selecting the searching range of the motion estimation by using the deviation degree of the searching center and the reference motion vector; and carrying out the final motion searching in the searching range, selecting the final motion vector of the current block, and finishing the selection of the final motion vectors of all blocks by using the same method and finishing the motion estimation of the multi-view video coding. The method is suitable for the motion estimation of the multi-view video encoding and can effectively reduce the calculation amount of the motion estimation and synchronously maintain the coding rate distortion performance.

The invention provides a fire emergency evacuation simulation method. On the basis of establishing a real three-dimensional fire scene, researches are made around a vector-field-based global motion planning algorithm to navigate the escape of a plurality of individuals in the fire scene in real time. The method comprises the following steps of calculating a vector-field-based safety field in real time by virtue of the algorithm, constructing a fire-scene-based crowd behavior model in combination of a social force model-based local collision avoiding algorithm, and finally providing fire escape guidance for each escape individual in the scene according to the fire-scene-based crowd behavior model. According to the fire emergency evacuation simulation method, a theoretical basis is provided, the calculation accuracy can be ensured, and verification application is developed under various experimental conditions; the method has the characteristics of low calculation complexity, high simulation effect trueness and the like, and the real-time emergency evacuation of hundreds of escape individuals can be simulated during practical application.

A method and system for modeling a subsurface structure at a time when the structure was originally formed. A first model having non-planar horizons representing a current subsurface structure may be used to calculate a vector field based on the non-planar geometry of the horizons of the model. The vector field may be non-uniform or uniform. Geographic coordinates of the first model may be transformed to paleo-geographic coordinates of a model representing the subsurface structure in the past, where the non-planar horizons in the first model are transformed to planar horizons in the second model. A set of points describing one or more fractures in the subsurface structure may be used to calculate a tuning parameter to correct a first set of paleo-geographic coordinates. A second set of coordinates representing an improved prediction at a time period when the subsurface structure was originally formed may be generated.

Method for processing digital images, such as magnetic resonance images of a brain. The images contain a first object, for example the cerebrum white matter, a second object, for example the cerebral cortex, and a third object, for example the cerebrospinal fluid. The method involves providing a digital dataset representing a deformable curve or surface that in an initial state approximates the boundary between the first object and the second object. Further, a vector force field is provided that for each point on the deformable curve or surface defines a direction from the point approximately towards the second boundary between the second and the third object, and this vector force field is applied for iteratively deforming the deformable curve or surface convergently towards the second boundary. In order to reconstruct a folded structure of the second object, for example the cortex, the vector force field also involves a normal vector field with a vector normal or approximately normal to the deformable curve or surface for each point on the deformable curve or surface.

The invention discloses a complex scene-based human body key point detection system and method. The method comprises the following steps of: inputting monitor video information to obtain a single-frame static map and a multi-frame optical flow graph; extracting features of the single-frame static map through a convolution operation so as to obtain a feature map, and in order to solve influences, on personnel target detection, of interference targets under complex scenes, judging a practical confidence coefficient and a preset confidence coefficient of the feature map by adoption of a personneltarget detection algorithm so as to obtain a discretized personnel target surrounding box; and carrying out optical flow overlapping on the multi-frame optical flow graph to form a two-dimensional vector field; extracting features in the discretized personnel target surrounding box to obtain a feature map, obtaining key points and association degrees of parts, generating a part confidence map foreach part of a human body by utilizing a predictor, and accurately detecting human body key points through the part confidence map and the two-dimensional vector field. The system and method are usedfor human body key point detection under complex scenes so as to realize accurate detection of personnel target key points.

Techniques for finding a correspondence between a source object and a target object, the objects having n>2 dimensions, such that a vector field based on the correspondence generates objects which tend to preserve the characteristics of both the source object and the target object. The techniques result in vector fields which maximize the generated object's similarity to the target object while minimizing structural changes to the source object. Minimization of structural changes is done by associating directional spring functions with points in the source object and finding a vector which generates an object for which changes in the directional spring functions are minimized. Further included are techniques for reducing the computational cost of finding a correspondence by making a set of pairs of increasingly-simplified representations of the source object and the target object and then finding pair vector fields for the pairs, beginning with the most simplified pair and ending with the original representations of the source object and the target object. The increasingly-simplified representations have the property that they preserve the large-scale structure of the original representations of the source object and the target object. The pair vector field for a given pair is found by extending the pair vector field found for the next simpler pair so that it applies to the pair's source object and then using the extended pair vector field as the initial vector field in finding the pair vector field. The techniques may be applied to images and to surfaces in which color is represented by means of additional dimensions. Vector fields found using the techniques may be used to generate objects belonging to a class of objects defined by the source object and at least the target object.

The invention discloses a three-dimensional point cloud reconstruction method based on improved shield poisson algorithm. The method comprises the following steps: obtaining a three-dimensional point cloud data of a model; introducing shielding factor, and preprocessing the constraint of the poisson algorithm by the constraint of the introduction point and the gradient; using the octree segmentation to simplify the denoising of the point cloud, compressing the storage, establishing the inter-cloud topology, and realizing the fast establishment and efficient searching of the octagonal tree neighbor nodes; normalizing each point cloud vector to reduce the ambiguity of normal direction; calculating the vector field; solving poisson equation to get instruction function; on point cloud equivalent surface extraction, getting three-dimensional reconstruction model. The method of the three-dimensional point cloud reconstruction method based on improved shield poisson algorithm has the advantages of improving the normal vector precision, removing the pseudo-closed surface well, and being well filled with the hole, and the detail of the object is rich. The method can be widely used in the fields of reverse engineering, cultural restoration, and medical image.

The present invention relates to an apparatus for time-coherent texture synthesis including a texture preprocessor for receiving as input information a 2D texture image and a 3D triangular mesh, and preprocessing the 2D texture image in a form suitable to rapid searching, a vector field generator for defining a vector field on a 3D surface of the 3D triangular mesh, a color search unit for finding a color of each edge of a triangle having the defined vector field in consideration of a previous frame, and a texture synthesizer for determining texture coordinates of the triangle using the found colors. The texture preprocessor further receives information regarding a size of the texture to be synthesized and an initial vector field orientation.

Stimulation treatments for various medical disorders, such as neurological disorders, comprise novel systems, strategies, and methods for providing TMS, electrical, magnetic, optical and other stimulation. Some stimulation methods comprise varying the stimulation parameters to improve the therapeutic efficacy of stimulation, and decrease risk of habituation and side-effects such as interference with normal brain, sensory, motor, and cognitive processes. The creation, and subsequent variation, of stimulation parameters can use sensed data in order to match, adjust, or avoid matching characteristics of the stimulation therapy relative to certain endogenous brain activities. Novel methods are described for choosing, creating and subsequently stimulating with partial signals which summate to produce therapeutic vector fields having unique temporal patterns and low-or high-frequency spectral content.

The present invention relates to a liquid crystal display in multiple alignment or MVA mode in which liquid crystal molecules having negative dielectric anisotropy are aligned differently, and it is an object of the invention to provide a liquid crystal display having improved response characteristics while suppressing any reduction in transmittance. In a liquid crystal display having an electrode formed on each of opposite surfaces of two substrates facing each other with a predetermined gap therebetween, vertical alignment films 2 and 4 formed on the electrodes and liquid crystal molecules 6 having negative dielectric anisotropy sealed between the two substrates, there is provided singular point control portions 10a through 10d and 8 for controlling singular points (+1 or −1) of an alignment vector field of the liquid crystal molecules 6 such that they are formed in predetermined positions when a voltage is applied between the electrodes and for thereby controlling the alignment of the liquid crystal molecules 6 based on the singular point thus formed.

The invention discloses an autonomous navigation guidance method used for a pilotless plane, which comprises a fairway planning method based on a speed vector field and a track tracking guidance method based on nonlinear navigation logic guidance law. The fairway planning method is characterized in that the flying area of a pilotless plane is regarded as the area of a speed field; a hauling field is generated at a target point in the area and generates the hauling speed on a planning point; an evasion field and a guide field are generated in a threat area and generates evasion speed and guide speed on the planning point; under the action of planning resultant speed, the movement track of the planning point is a fairway to be planned. The track tracking method is characterized in that a nonlinear navigation logic guidance command is given according to a given track by combining with the current position, the attitude information and the detection step length of the pilotless plane; a nonlinear guidance command is converted into a roll angle command by the conversion relation between accelerated speed and a roll angle; and the track tracking is realized by a flight control system. The invention has simple realization and good real-time performance and has very strong practical application prospect.

A kit comprising rotating element sheet material, a highlighting implement, and an erasing implement, a binder, and a method of use. The rotating element sheet material comprises a plurality of first rotatable elements and a plurality of second rotatable elements disposed in a substrate. Each first rotatable element in the plurality has a first collection of responses to incident electromagnetic radiation of interest. One response in the first collection renders the first rotatable element transparent-clear to incident electromagnetic energy of interest, and a second response renders the first rotatable element opaque to incident electromagnetic energy of interest. The first rotatable element also exhibits a first work function. Likewise, each second rotatable element has a second collection of responses to incident electromagnetic radiation of interest. A first response in the second collection renders the second rotatable element transparent-clear to the incident electromagnetic energy of interest. A second response renders the second rotatable element transparent-colored to the incident electromagnetic energy of interest. The second rotatable elements also exhibit a second work function that is less than the first work function. The addressing implement introduces a vector field in a first direction in the substrate where the vector field has a magnitude greater than the second work function and less than the first work function. In addition, the erasing implement introduces a vector field in a second direction in the substrate where the vector field has a magnitude greater than the second work function and less than the first work function. The binder is configured to accommodate the rotating element sheet material, the highlighting implement, and the erasing implement.

A method to detect and classify a structure of interest in a medical image is provided to enable high specificity without sacrificing the sensitivity of detection. The method is based on representing changes in three-dimensional image data with a vector field, characterizing the topology of this vector field and using the characterized topology of the vector field for classification of a structure of interest. The method could be used as a stand-alone method or as a post-processing method to enhance and classify outputs of a high-sensitivity low-specificity method to eliminate false positives.

Processing techniques of volumetric anatomic and vector field data from volumetric phase-contrast MRI on a magnetic resonance imaging (MRI) system are provided to evaluate the physiology of the heart and vessels. This method includes the steps of: (1) correcting for phase-error in the source data, (2) visualizing the vector field superimposed on the anatomic data, (3) using this visualization to select and view planes in the volume, and (4) using these planes to delineate the boundaries of the heart and vessels so that measurements of the heart and vessels can be accurately obtained.

A method of analyzing and recognizing fingerprint images that utilizes vector processing of a vector field that is defined as the tangential vector of the fingerprint ridge curves is disclosed. The raw fingerprint image is divided into blocks, filtered to remove noise, and the orientation direction of each block is found. This allows the ridge curves to be enhanced and approximated by piece-wise linear approximations. The piece-wise linear approximations to the ridge curves allow the minutiae to be extracted and classified and a fingerprint minutiae template to be constructed. An enrollment process gathers multiple fingerprint images, creates fingerprint minutiae templates corresponding to the acquired fingerprint images, and stores the templates and other data associated with the respective individual or the enrolled fingerprint in a fingerprint database. In an identification process, an unknown raw fingerprint image is obtained via a fingerprint scanner and processed similarly to the enrollment process such that the fingerprint minutiae template of the unknown fingerprint is compared to one or more previously enrolled fingerprint minutiae templates. The identity of the individual associated with the unknown fingerprint is thereby ascertained. In addition, live finger detection can be accomplished in conjunction with the verification or identification process through analysis of the fingerprint image thus enhancing the security of the overall system.

The invention discloses a method and device for setting positioning lines on a positioning image and a piece of CT equipment. The method for setting positioning lines on a positioning image comprises the following steps: setting control points on a template image; globally registering the template image with the positioning image; after global registration, locally registering the template image with the positioning image to obtain a deformation vector field of the template image with respect to the positioning image; mapping the control points on the template image to corresponding anatomical positions on the positioning image according to the deformation vector field; and calculating positions and angles of positioning lines according to the control points on the positioning images. The technical scheme of the device for setting positioning lines on a positioning image corresponds to the technical scheme of the method for setting positioning lines on a positioning image. With the technical schemes, the accuracy of setting positioning lines is high and the scanning efficiency can be increased.