21 results about "Atlas data" patented technology

The invention relates to the technical field of geometric modeling of three-dimensional models, in particular to a three-dimensional assembly path planning method and system for a solar wing structure. The method comprises the following steps: acquiring three-dimensional assembly data of the solar wing, and constructing an assembly reachable atlas according to the three-dimensional assembly data of the solar wing to obtain assembly reachable atlas data; path evasion type behavior planning is carried out according to the assembly reachable atlas data, and assembly path data is obtained; performing optimization scheduling on the assembly path data to obtain assembly path optimization data; performing interference resolution reconstruction on the assembly path optimization data to obtain assembly path reconstruction data; and performing digital twinning scene generation according to the assembly path reconstruction data to obtain assembly path digital twinning data. According to the method, the whole-process digital mapping from action behavior modeling, assembly time sequence control to interactive linkage is realized, and the verifiability, the interactivity and the assessment capability before deployment of the assembly process are remarkably improved.

The invention provides a weld defect grade evaluation system based on Gabor-gray level co-occurrence matrix feature fusion, and relates to the technical field of weld defect grade evaluation. According to the weld defect grade evaluation system based on Gabor-gray level co-occurrence matrix feature fusion, factors such as geometric dimensions, textural features and defect categories which influence weld defect grades are subjected to feature fusion according to the acceptance standard of TOFD detection quality; fusing with geometric feature indexes such as detection thickness and maximum defect length, textural feature indexes such as energy and entropy, and indexes such as defect positions and defect types in weld defect rating, so as to construct a weld defect rating evaluation index system; according to the method, the problems of high subjectivity, low efficiency and lack of unstructured data such as standard defect grade atlas and the like due to the fact that manual evaluation is mainly adopted when defect grade evaluation is carried out by utilizing time-of-flight diffraction (TOFD) atlas data at present are solved, construction of a defect standard database is realized, and a quantifiable defect grade evaluation index system is established.

Disclosed is a computer-implemented method of segmenting a medical patient image using an atlas and relating the segmentation result to a model of possible geometric changes to the segmentation result (e.g. for correcting the position of the segmentation of anatomical structures) which consider for example anatomical limitations. The thus-related segmentation result may be used as a basis for changing and / or correcting the position, shape and / or orientation of at least parts of the segmentation result, e.g. by user interaction. The invention also relates to an atlas data set comprising information such as values of the variables of the model of possible geometric changes in relation to the positions of anatomical structures in the atlas.

The present invention provides a weld defect grade evaluation system based on Gabor gray-level co-occurrence matrix feature fusion, relating to the technical field of weld defect grade evaluation. This weld defect grade evaluation system, based on the acceptance criteria for time-of-flight (TOFD) inspection quality, integrates factors affecting weld defect grade, such as geometric dimensions, texture features, and defect category, with geometric feature indicators such as thickness and maximum defect length, texture feature indicators such as energy and entropy, and indicators such as defect location and defect type in weld defect rating, thereby constructing a weld defect grade evaluation index system. This system addresses the current issues of defect grade evaluation using time-of-flight ultrasonic diffraction (TOFD) atlas data, which is primarily manual, highly subjective, inefficient, and lacks unstructured data such as standard defect grade atlases. It achieves the construction of a defect standard database and establishes a quantifiable defect grade evaluation index system.

The connectivity and mapping information of mesh surface patches can be encoded after projection into 2D. Regarding the connectivity information, the projection operation does not change the connections between vertices, so the same list of connected vertices can be carried in the atlas data. Similarly, the mapping information does not change after projection and can be carried in the atlas data. We disclose two methods for encoding the connectivity and mapping information. For the connectivity information, the video-based method uses adjacent color coding. For the mapping coordinates, the method uses the projected vertex positions. The connectivity and mapping can also be processed by an external mesh encoder. The newly proposed mapping information can be utilized to perform temporal compression.

The invention discloses a building method for collecting and automatically inputting urban components to build a database, belongs to the technical field of geographic information engineering, effectively solves the problems of low data processing efficiency and consistency, and realizes integrated management of map database data. In order to solve the problem of difficult data matching caused by asynchronous field structure adjustment and non-uniform format standards in collection and database building links in the prior art, the method depends on a relational database and an EPS platform template control technology to construct an association attribute system of extension attribute-field information contrast-layer attribute contrast, so that the uniform whole process of the field structure is ensured, and the data matching efficiency is improved. The template supports flexible modification of entity coding and symbolization expression, format standard change can be synchronously updated through the template, mismatching of image library data is avoided, an automatic input system automatically matches the data according to a preset template, three-in-one associated storage of vector data, attribute information and photo information is ensured, and the efficiency is improved. And the problem that data formats and field structures are inconsistent is solved from the source.

The invention provides an atlas data similarity measurement method and an atlas data category determination method. The atlas data similarity measurement method comprises the following steps: acquiring atlas data to be identified and candidate atlas data; dividing the to-be-identified atlas data and the candidate atlas data into data segments with the same number, and obtaining at least two first data segments corresponding to the to-be-identified atlas data and at least two second data segments corresponding to the candidate atlas data; according to the segment correlation parameter between each first data segment and the corresponding second data segment, carrying out distance calculation on each first data segment and the corresponding second data segment, and determining a similarity value between the to-be-identified atlas data and the candidate atlas data; the segment correlation parameter is used for representing whether the shape of the first data segment is similar to the shape of the corresponding second data segment. By adopting the technical scheme of the invention, accurate similarity measurement can be carried out on plane atlas data which focuses on atlas shapes rather than absolute positions.

Methods, apparatus, systems and articles of manufacture to identify a video decoding error are disclosed. An example apparatus includes an atlas generator to generate atlas data for one or more atlases generated from input views of video; a hash generator to: perform a hash operation on the atlas data to generate a hash value; and include the hash value in a message; and a multiplexer to combine the one or more atlases, coded atlas data corresponding to the atlas data, and the message to generate a video bitstream.

The embodiments relate to a method for encoding and decoding, and to apparatuses for the same. The method for encapsulating includes receiving a visual volumetric video-based coding bitstream containing common atlas bitstream and one or more atlas bitstreams; storing the common atlas bitstream and the one of the one or more atlas bitstreams in samples of one track or in an item data of one item in a file; providing a signaling in the file that indicates that the samples of the one track or the item data of the one item contains both common atlas data and atlas data; and writing in the file the signaling and the samples of the one track or the item data of the one item containing both common atlas data and atlas data. The embodiments also relate to a method for decapsulating and apparatuses for implementing the method for encapsulating and decapsulating.

The invention provides a method for identifying and optimizing partial discharge of a gas insulated switchgear for a small sample set, which comprises the following steps of: S1, acquiring original data when the partial discharge phenomenon of GIS (Gas Insulated Switchgear) occurs, and converting the original data into a PRPD atlas; s2, screening out high-quality PRPD maps, carrying out classification labeling, and constructing an A-class training set and an A-class test set according to a certain proportion after preprocessing; s3, applying a K-nearest neighbor interpolation method in the A-class training set to generate new PRPD atlas data, constructing a B-class sample set, and constructing a C-class training set by using the B-class sample set and the A-class training set; s4, training the C-class training set by using a ViT model to obtain an optimized recognition model; s5, testing the trained ViT model by using the A-class test set to carry out identification and classification validity evaluation; and S6, verifying the superiority of the method by comparing the training effects of the A-class training set and the B-class training set. The new sample is generated by using the local feature information of the known sample, and the training set scale is effectively expanded, so that the learning ability and accuracy of the model are improved.

The embodiment of the invention discloses a photoelectron spectroscopy data analysis method and system, electronic equipment and a storage medium, and relates to the technical field of material analysis. The method comprises the following steps: acquiring target photoelectron spectroscopy data of a target material, and generating first atlas data based on the target photoelectron spectroscopy data; performing charge correction on the first atlas data to obtain second atlas data, and determining a target peak based on a pre-established target database; fitting the second atlas data based on the attribute information of each target peak to obtain target atlas data matched with the target photoelectron spectroscopy data; and in response to an export instruction of the target map data, exporting the target map data to a target file. According to the scheme provided by the embodiment of the invention, the photoelectron spectroscopy data can be quickly and accurately analyzed.

Methods, apparatus, systems and articles of manufacture to identify a video decoding error are disclosed. An example apparatus includes an atlas generator to generate atlas data for one or more atlases generated from input views of video; a hash generator to: perform a hash operation on the atlas data to generate a hash value; and include the hash value in a message; and a multiplexer to combine the one or more atlases, coded atlas data corresponding to the atlas data, and the message to generate a video bitstream.

The invention discloses a method and a system for intelligently judging the multi-modal consistency of a non-metallic material. The method comprises the following steps of: preprocessing multi-modal data; heterogeneous features are embedded, distribution differences among different atlas data are eliminated, and comparable features are extracted; projecting feature vectors of the atlas to a common subspace; carrying out cross-modal relation modeling; carrying out physical constraint modeling and edge attributes; establishing a message transmission mechanism; carrying out attention weight calculation and aggregation; and performing layer output and consistency judgment. According to the method, a multi-modal topology fusion mechanism is constructed for coping with the problem of data isomerism, and unified processing and analysis are realized through a physical constraint edge association cross-modal rule; a fuzzy boundary algorithm is designed for a critical case misjudgment problem, and misjudgment conditions are reduced; a federal increment updating system is constructed for solving the problem of data drift, and a gradient thermodynamic diagram technology is introduced for realizing visual positioning of a difference region.

A computer-implemented method for training a likelihood-based computational model to determine a position of an image representation of an annotated anatomical structure in a two-dimensional X-ray image includes inputting a medical DRR together with an annotation to a machine learning algorithm to train the algorithm, the adaptive learnable parameters of the machine learning model are generated. An annotation may be derived from metadata associated with the DRR, or may be included in atlas data that matches the DRR to establish a relationship between the annotation included in the atlas data and the DRR. The machine learning algorithm thus generated may be re-used to analyze clinical or synthetic DRRs in order to appropriately add annotations to those DRRs and / or identify the location of anatomical structures in those DRRs.

Example methods, apparatus, systems, and articles of manufacture to identify video decoding errors are disclosed. An example apparatus includes an atlas generator to generate atlas data for one or more atlas generated from an input view of a video; a hash generator for performing the following operations: performing a hash operation on the atlas data to generate a hash value; and including the hash value in the message; and a multiplexer to combine the one or more atlas, the encoded atlas data corresponding to the atlas data, and the message to generate a video bitstream.

The decoding method can be set according to the characteristics of the grids in the patch, and the number of bits of displacement can be reduced. A mesh decoding device (200) according to the present invention is provided with: an Atlas data decoding unit (208) configured so as to decode an Atlas bit stream and output patch information and frame information; a sub-division unit (203) configured so as to be able to change a sub-division method in accordance with the patch information and the frame information; and a mesh decoding unit (204) configured so as to be able to change the inverse quantization method in accordance with the patch information.

A computer-implemented method for adapting a biomechanical model of an anatomical body part of a patient to a current state of the patient is disclosed. The method comprises determining a currently performed workflow step, such as a medical intervention, and the result of the determination is used as a basis for adapting and / or updating the biomechanical model of the anatomical body part to the corresponding current state of the patient. Determining the current workflow step may also be used as a basis for controlling an imaging device for tracking entities surrounding the patient; or for imaging the anatomical body part; or for acquiring further data; or for prompting a user to perform a specific action, such as acquiring information using a tracking instrument, such as a pointer. The biomechanical model is generated based on atlas data. The data set generated based on the current workflow step may additionally or alternatively be used as a basis for determining the current workflow step and / or for adapting further workflows.

Disclosed is a computer-implemented of adapting a biomechanical model of an anatomical body part of a patient to a current status of the patient. The method encompasses determination of a currently executed step of a workflow such as a medical intervention, the result of the determination serving as a basis for adapting and / or updating a biomechanical model of an anatomical body part to the corresponding current status of the patient. The determination of the current workflow step may also be used as basis for controlling an imaging device for tracking entities around the patient or for imaging the anatomical body part or acquiring further data or for urging the user to perform a specific action such as acquisition of information using a tracked instrument such as a pointer. The biomechanical model has been generated from atlas data. The data sets which are generated according to the current workflow step may additionally or alternatively serve as a basis for determining the current workflow step and / or adapting the further workflow.

A mesh decoding device 200 according to the present invention includes: an atlas data decoding unit 207 configured to decode a syntax defining a maximum value of the number of iterations of subdivision, wherein the syntax decoded by the atlas data decoding unit 207 has a value of 15 or less.

The application discloses a kind of methods of atlas data visualization, comprising, obtaining atlas data, wherein, atlas data includes node information, and relationship edge information, determine the node position information of node in space layout based on the node information and the relationship edge information, based on the relationship edge information, obtain the density distribution and density gradient distribution of each relationship edge, using the density gradient distribution of each relationship edge, respectively each relationship edge is bent to the high density distribution area of its relationship edge to the distance threshold value set, so that each relationship edge bent to the distance threshold value is bound, obtain edge binding result;With the node position information and edge binding result as rendering position, rendering is carried out.The application at least solves the problem of global visualization of atlas data, and further improves the efficiency of large atlas data visualization.

Disclosed is a computer-implemented of adapting a biomechanical model of an anatomical body part of a patient to a current status of the patient. The method encompasses determination of a currently executed step of a workflow such as a medical intervention, the result of the determination serving as a basis for adapting and / or updating a biomechanical model of an anatomical body part to the corresponding current status of the patient. The determination of the current workflow step may also be used as basis for controlling an imaging device for tracking entities around the patient or for imaging the anatomical body part or acquiring further data or for urging the user to perform a specific action such as acquisition of information using a tracked instrument such as a pointer. The biomechanical model has been generated from atlas data. The data sets which are generated according to the current workflow step may additionally or alternatively serve as a basis for determining the current workflow step and / or adapting the further workflow.