132 results about "Seven-dimensional space" patented technology

The invention relates to a three-dimensional intelligent video monitoring method, which comprises the following specific steps of: firstly, performing three-dimensional modeling on an actual monitoring area and displaying a three-dimensional virtual scene corresponding to the actual monitoring area by using software; secondly, calibrating a camera to acquire the internal and external parameters and distortion correction parameter of the camera and establishing a two-dimensional image and three-dimensional space one-to-one mapping relational model; thirdly, intelligently analyzing a monitoring video acquired by the camera to acquire moving target information comprising a target category, a moving path and the like; fourthly, positioning target information in a two-dimensional image in a three-dimensional space and displaying the target information in the three-dimensional virtual scene in real time; and finally, storing a target two-dimensional video and the moving path in the three-dimensional space synchronously for system retrieval and playback. In the method, a two-dimensional moving target is positioned in the three-dimensional virtual scene by fully utilizing the real three-dimensional space feeling of the three-dimensional virtual scene, so that the ability of monitoring personnel of quickly positioning and processing an alarm event is improved and the workload of the monitoring personnel is effectively relieved.

A sound source localization method of a three-dimensional space adopts a movable small microphone array and a sound source localization technology based on time delay estimation. The small microphone array is used for collecting a period of target sound source signals, a mutual correlation algorithm is used for calculating time differences between the microphones of the small microphone array, the time differences are substituted into computational formulas of azimuth and elevation to get the azimuth and the elevation of the target sound source, and then the small microphone array is moved for some distance along a certain azimuth, and the operations are repeated to get the azimuth and the elevation of the target sound source at the moment. Through measuring the azimuth and the elevation of the target sound source twice, the distance of the target sound source is calculated. The method of measuring target sound source is a passive method. The small microphone array is moved during the measuring process, and the defects that accuracy of the sound source target distance measuring of the prior art is low, and cost is high and safety is not ensured due to the fact that an active method is adopted to measure the sound source target distance are overcome.

An “active learning” method trains a compact classifier for view-based object recognition. The method actively generates its own training data. Specifically, the generation of synthetic training images is controlled within an iterative training process. Valuable and/or informative object views are found in a low-dimensional rendering space and then added iteratively to the training set. In each iteration, new views are generated. A sparse training set is iteratively generated by searching for local minima of a classifier's output in a low-dimensional space of rendering parameters. An initial training set is generated. The classifier is trained using the training set. Local minima are found of the classifier's output in the low-dimensional rendering space. Images are rendered at the local minima. The newly-rendered images are added to the training set. The procedure is repeated so that the classifier is retrained using the modified training set.

According to the present invention, even if a plurality of operators perform gesture operations in three-dimensional space, the three-dimensional spatial gesture of each operator is accurately associated with the target object of the three-dimensional spatial gesture. For this, a projector displays at least one selection-target object on an upper surface of a table. When a pointer operated by an operator comes in contact with the upper surface of the table, a two-dimensional coordinate detecting apparatus detects the contact position, and determines which object has been designated by the operator. In this stage, among pointers detected by a three-dimensional coordinate detecting apparatus, a pointer having a position closest to the contact position is determined, and the pointer determined to be the closest is decided as a tracking target. Thereafter, the tracking-target pointer is tracked by the three-dimensional coordinate detecting apparatus to determine the operator's gesture pattern.

The invention discloses a rapid registering and splicing method used for a three-dimensional digital subtraction angiography image. The method comprises the following steps: a) two volume data images of the three-dimensional digital subtraction angiography image are selected, and the overlapped areas are extracted to denote as sub-volume-data images; b) maximum intensity projection is performed on the sub-volume-data images at a coronal surface, a sagittal surface and a cross section respectively so that MIP1 and MIP2 images are formed; c) first time of registering is performed on the MIP1 and MIP2 images respectively at the aforementioned two-dimensional surfaces; d) and second time of registering is performed on the two volume data images in three-dimensional space according to the result of the first time of registering, then the overlapped areas are fused and finally a panoramic three-dimensional subtraction volume data image is formed via splicing. According to the rapid registering and splicing method used for the three-dimensional digital subtraction angiography image, influence of image data quality on registering precision can be avoided, and registering and splicing processing time can be greatly shortened.

The invention discloses a hand positioning method and device in a three-dimensional space, and intelligent equipment, and is used for lowering a calculated amount for hand positioning in the three-dimensional space, improving hand positioning robustness and reducing environment interference for the hand positioning. The hand positioning method in the three-dimensional space comprises the following steps that: collecting a depth image which contains a hand; intercepting a target depth image which only contains the hand from the depth image, and on the basis of a pre-trained hand articulation point model and the target depth image, determining the three-dimensional space coordinate, which is relative to a camera used for collecting the depth image, of each articulation point in the target depth image; and according to the pre-determined pose data of the camera in the space and the three-dimensional space coordinate, which is relative to a camera used for collecting the depth image, of each articulation point in the target depth image, determining the three-dimensional space coordinate of each articulation point of the hand in the space in the target depth image.

The invention provides a spatial light clustering-based image surface feature point matching method. According to the spatial light clustering-based image surface feature point matching method, in a unique three-dimensional space, feature point matching is realized according to analysis on the clustering of image surface feature points corresponding to reconstruction light, and therefore, the uniqueness of a measured space is utilized to regress two-dimensional matching problems to a three-dimensional space so as to solve the problems. The spatial light clustering-based image surface feature point matching method includes the following steps of: (1) spatial light reconstruction; (2) light clustering threshold value determination; (3) light clustering judgment; and (4) image surface feature point matching; and (5) homonymy point merging.

The invention discloses a three-dimensional spherical path planning method based on a dynamic spherical window. The method comprises the steps of performing filtering integration based on environmentinformation sensing through a sensor, and furthermore converting to a spatial grid map; establishing a dynamic spherical window model, performing dynamic sampling on the inner part and the surface ofa sphere for obtaining local candidate target points; establishing a uniform evaluation function, performing optimization screening on the candidate points according to the evaluation function; and performing successive approximation to a destination through the local target points until arriving at the destination. The three-dimensional spatial path planning method can be applied to a quick pathplanning problem of an unmanned aerial vehicle/unmanned underwater vehicle in a three-dimensional space. High freedom in the three-dimensional space is sufficiently considered, and the no-collision three-dimensional path with considered safety and efficiency can be quickly obtained.

The invention relates to a method for drawing a three-dimensionally assisted two-dimensional graphic, which relates to a drawing method applying a three-dimensional model to a two-dimensional animation and belongs to the field of digital entertainment. The method aims at solving the problem that the prior software cannot automatically determine which parts of a role will be covered under a condition that the visual angle is changed. The method comprises the following steps: 1, reading in the three-dimensional model, and acquiring a vertex normal vector, a vertex principal curvature, a vertex Gaussian curvature and the direction of the vertex principal curvature of the three-dimensional model; 2, placing the three-dimensional model in a three-dimensional space; 3, drawing an edge contour line of the three-dimensional model; 4, acquiring a characteristic line related to a viewpoint; and 5, drawing the characteristic line related to the viewpoint in the step 4. Through the combination of the two-dimensional animation and a three-dimensional animation, the visual effect is enriched, and the source of animation raw data is expanded.

Embodiments of the invention may provide systems and methods for supporting restricted search capabilities in high-dimensional spaces. These example restricted search capabilities may allow for an unbiased search that is simply restricted to those regions of interest to a decision maker. It will be appreciated that a restricted search does not mean that additional constraints, such as preference or biasing information, are utilized to reduce the search space into some feasible sub-space of the original optimization problem. Instead, the example restricted search may limit the search to a certain sub-space of the full multi-dimensional tradeoff space.

The index scan device acquires information on a search space in a multi-dimensional space corresponding to a search range of a query, or information on a partial search space in this search space; sets, as a search point, a data point corresponding to at least one of a minimum and a maximum of values obtained by changing each data point in the multi-dimensional space to be one-dimensional, from among data points contained in the search space or the partial search space; identifies, in the index storage unit, index data associated with a partial space containing the search point; estimates a boundary line passing through the search space or the partial search space on the basis of identification information on the partial space obtained from the identified index data; and determines, from among divided search spaces obtained by dividing the search space or the partial search space by the estimated boundary line, a divided search space excluding the partial space containing the search point as the partial search space.

A method for corresponding, evolving and tracking feature points in a three-dimensional space performs corresponding, evolving and tracking on the features points after transferring the two-dimensional feature point information in an image information into a corresponding state in the three-dimensional space. A recursion is employed to continuously update the states of the feature points in the three-dimensional space and evaluate the stability of the feature points by evolving. Hence, the obtained three-dimensional feature point information has a stronger corresponding relationship than the feature point information conventionally generated on the basis of the two-dimensional feature point information. As a result, a more precise three-dimensional scene can then be constructed.

Embodiments of the present invention are directed to a novel approach for realistically modeling sub-surface scattering effects in three-dimensional objects of graphically rendered images. In an embodiment, an indirection map is generated for an image by analyzing the triangle mesh of one or more three-dimensional objects in the image and identifying pairs of edges between adjacent triangles in the mesh that have the same spatial locations in the three-dimensional representations, but which have different locations in the texture map. For each of these edges, the opposite triangle in each pair is projected into their corresponding edge's two-dimensional space. This allows samples which cross a seam in the two dimensional representation that would otherwise sample out into invalid data to be redirected to the spatially correct region of the texture and generate consistent results with non-seam areas.

The invention relates to a quick volume data skeleton extraction method based on rendering. The quick volume data skeleton extraction method comprises the following steps: under upper, lower, front, rear, left and right viewpoints, using a RayCasting direct volume rendering algorithm to render three-dimensional volume data, so as to obtain six two-dimensional images; extracting the contours and partial key feature lines of all the two-dimensional images obtained through direct volume rendering; projecting the obtained contours and partial key feature lines of the two-dimensional images back to a three-dimensional space, so as to obtain a three-dimensional standby curve; sampling the space, calculating curve density of space sampling points and constructing a curve density field; after the curve density field is obtained, obtaining the gradients of the sampling points through a three-dimensional Sobel operator; according to the gradient values of the sampling points, calculating the curve directions of the sampling points through a least-square method; assigning the curve direction to the voxels of the corresponding three-dimensional volume data; according to the directions of the voxels, constructing a bounding box and calculating the average value of the voxels of the bounding box to obtain characterization nodes; connecting the characterization nodes and smoothing the connecting curve, so as to obtain a three-dimensional volume data skeleton.

The invention discloses a method and a system for deblurring of space three-dimensional motion of different fuzzy cores. The method comprises the following steps of: step 1, obtaining a motion model set of which a frame rate on time domain is N times within imaging exposure time according to the result of three-dimensional motion tracking, wherein N is the number of cameras; step 2, calculating acontinuous motion path of each vertex of the motion model set via an interpolation algorithm; step 3, counting visible vertexes of the vertexes in the motion model set in every moment; step 4, calculating a visible surface patch set in every moment; step 5, calculating a point spread function of each visible surface patch on an imaging plane; step 6, solving an equation Ax=b, wherein the variablex to be solved is vein color of all the visible surface patches within the imaging exposure time, the matrix A is the point spread function of the visible surface patches and the b is a practically acquired image. The method and the system can be used for large-size motion blur problems comprising complex conditions, such as different space complex motions, occlusion, appearance and the like.

The invention discloses a graph visualization method based on a graph convolution network. The method comprises the following steps of: 1) for a network G = (V, E) in a target field, embedding nodes in the network G into a low-dimensional Euclidean space to obtain a low-dimensional embedding vector of the network G; wherein the low-dimensional embedded vector comprises feature information of nodesin a network G and topological structure information of the network G; wherein V is a node set, and E is an edge set; 2) constructing the low-dimensional embedded vector into a K neighbor graph, namely a KNN graph, and 3) drawing the KNN graph in a two-dimensional space based on a probability model. According to the method, the learned embedded vector retains the structure information and the feature information of the node at the same time, and the visualization result can be subjected to granularity adjustment.

The invention provides a method for determining a complex geologic structure in a two-dimensional space according to seismic data and stratum geological data in petroleum and natural gas exploration. The method comprises the following steps: first, processing the seismic data to obtain overlaid seismic data, so as to determine horizontal distribution of an objective formation and the distribution of faults penetrating the objective formation; then determining fault shapes and contact positions between the faults and the stratum; performing fitting and interpolation on layer data, followed by connection point and undirected edge tracking so as to build a geological model undirected graph; allowing the undirected graph to be subjected to traversal processing according to a depth-first search algorithm to finally obtain a topological structure; and finally, performing traversal tracking for obtaining an inversion result. According to the invention, the method can correctly depict the characteristics of geologic structures including ordinary faults, reverse faults and the like, and depict special geologic bodies such as salt domes and lenses, and the practical geologic structures being subjected to geologic movements, such as extrusion, tension and cutting, and can accurately recognize complex structural hydrocarbon reservoir.

The invention discloses an RAE-HT-TBD accumulation detection method for a hypersonic-velocity weak target in a three-dimensional space, which belongs to the field of radar target detection. The problem on how to precisely detect a hypersonic-velocity weak target in a near space is solved through hierarchical dimension-reduced Hough transform and track merging. The method includes the following steps: (1) preprocessing initial threshold data; (2) normalizing time plane data; (3) discretizing and initializing a Hough transform parameter space; (4) carrying out two-dimensional Hough transform in a radial distance-time plane, in an azimuth-time plane and in an elevation-time plane in turn; (5) carrying out energy accumulation and peak detection in the parameter space; (6) inversely mapping Hough transform to a data space; and (7) carrying out plot temporal sequence association and track merging to further eliminate false plots and get a final test track. The method of the invention needs less calculation, is of high detection probability, can be used to solve the problem on how to precisely detect a hypersonic-velocity weak target in a near space, and is easy to implement in engineering.

The invention discloses a three-dimensional space imaging interaction method and a three-dimensional space imaging interaction based on ultrasonic wave. The three-dimensional space imaging interaction method is different from an existing holographic imaging technology. The method comprises the following steps: firstly establishing the three-dimensional coordinates of a space to generate a target three-dimensional space, and emitting ultrasound microbubbles capable of sensing with an ultrasonic wave field; then, forming the ultrasonic wave field in the target three-dimensional space through the ultrasonic wave, generating a potential well position in the target three-dimensional space, controlling the ultrasound microbubbles to move in the target three-dimensional space and to be stabilized at the position, simultaneously coloring the ultrasound microbubbles by adjusting laser, and thus forming a three-dimensional image in the target three-dimensional space. Furthermore, the three-dimensional images are converted into 3D pictures and the 3D pictures are shown for a user by continuously repeating the steps. Through the 3D pictures shown for the user in the method and the system, the user can be interactive with the 3D pictures, so that the user can feel the real touch of the 3D pictures in the interaction process, and the original structures of the three-dimensional images can also be maintained.

The invention relates to a distributed sensor network cooperative target estimation and interference source passive-positioning method. The project mainly researches the target positioning algorithm of a network multi-agent system in two-dimensional and three-dimensional spaces and application in malicious interference source positioning of a sensor network. Individuals of the network multi-agentsystem include a ground mobile robot (the two-dimensional space) and a four-rotor aircraft (the three-dimensional space); each individual is equipped with a sensor (a camera, an ultrasonic ranger finder and the like) and wireless communication equipment, and has mobility, perception, computing and communication capabilities; the main problem is to design a distributed nonlinear state observer; andthus, each agent dynamically estimates the relative coordinate of a target corresponding to the agent only by utilizing angle measurement and information interaction between adjacent individuals andangle measurement of an unknown interest target (an interference source in the sensor network) in a certain place.

The invention discloses a wireless sensor network positioning method based on based on overlapped domain gravity center of anchor balls in a three-dimensional space, which is characterized by comprising the following steps of: 1, extracting position information; 2, increasing the radius of an initial ball according to a certain rule, enabling an unknown node to be contained in the ball, wherein the kind of balls are named as domain anchor balls, and a series of domain anchor balls containing the unknown node can be found by taking different anchor nodes as ball centers; 3, respectively projecting all anchor nodes, the unknown node and the domain anchor balls in the space to an XOY plane and a YOZ plane; 4, solving an intersecting circuit region containing the unknown node; and 5, solving gravity center coordinates of the intersecting circuit region as estimating coordinates of the unknown node. According to the invention, the three-dimensional space positioning problem is transformed into positioning in a two-dimensional plane, the complexity of the method is simplified, the calculated amount of the method is reduced at the same time, and a favorable effect under the condition that the node energy of a sensor is limited is achieved.

A method for modeling and animating an object trajectory in three-dimensional (3D) space. The trajectory includes at least one course which represents a 3D model mesh. A course includes at least one segment which is a display unit of the 3D model mesh. A segment includes two 3D points. Multiple vertices are generated for a first 3D point of the segment to specify a plane such that a normal vector of the specified plane is parallel to a vector directed from the first 3D point of the segment to a second 3D point of the segment. The generated vertices are added to the 3D model mesh so that the generated vertices can be subsequently displayed as an extension of the 3D model mesh.

The invention belongs to the technical field of the earth surface evapotranspiration remote sensing estimation, and relates to an evapotranspiration remote sensing inversion method and the applicationbased on the two-dimensional space of the reflectivity-vegetation coverage. The method comprises the steps of: obtaining the relevant data of a target area at the pre-set time scale; determining theprinciple and the definition of the evapotranspiration remote sensing inversion method based on the two-dimensional space of the reflectivity-vegetation coverage, and a variation law of the evapotranspiration ratio in the two-dimensional space of the reflectivity-vegetation coverage; according to the long-term sequence remote sensing short-wave infrared reflectance data and the vegetation coveragedata, determining dry and wet edges of the two-dimensional space of the reflectivity-vegetation coverage, and constructing the two-dimensional space of the reflectivity-vegetation coverage; determining a parameter [Phi] related to the evapotranspiration ratio according to an extended P-T equation and a change of evapotranspiration ratio in the two-dimensional space of the constructed reflectivity-vegetation coverage; and calculating the evapotranspiration of the pre-set time scale based on the determined parameter [Phi]. The evapotranspiration remote sensing inversion method and the application based on the two-dimensional space of the reflectivity-vegetation coverage are of great significance to accurately use the remote sensing to obtain the surface evapotranspiration.