69 results about "Path tracing" patented technology

The invention relates to the technical field of data visualization, in particular to a digital twinning-oriented workshop data visualization system, which comprises a heterogeneous data space-time stamp reconstruction module for acquiring a sensor data stream, an MES service data packet and an environment monitoring data set and generating a space-time aligned fusion data frame; the dynamic topology compensation modeling module is used for constructing a digital twin body with a time sequence attribute and outputting a dynamic topology relation matrix comprising a geometric deviation compensation value; the event-driven incremental rendering engine module is used for generating a visual model only updating a change part by adopting a difference region recognition technology, and outputting a three-dimensional visual interface with an abnormal coordinate mark; and the bidirectional feedback control channel module is used for analyzing the abnormal coordinate mark, generating an equipment parameter adjustment instruction set through a reverse path tracking algorithm, and transmitting the equipment parameter adjustment instruction set back to the physical equipment controller. According to the invention, a bidirectional feedback closed loop with a physical equipment controller is realized, and dynamic adjustment and adaptive control are supported.

The invention relates to the technical field of defect detection, in particular to a connector wire harness crimping defect detection method based on image recognition, which comprises the following steps of: detecting the crimping defect of a connector wire harness based on image recognition; the method comprises the following steps: segmenting a crimping region image, extracting local brightness distribution characteristics, analyzing abnormal aggregation, detecting a port bare signal and contact uniformity, judging in combination with an area ratio, identifying a wiring harness crimping defect, and outputting a risk index. According to the method, image segmentation and regional brightness contrastive analysis are adopted, the recognition capability of micro-differences of all structures in a crimping region is refined, and a discrimination mechanism of spatial distribution anomaly aggregation is combined, so that hierarchical distinguishing of three-dimensional structure deformation, hidden defects and local anomalies, multi-stage reflection feature sorting and regional mutation detection are realized; the fine difference between metal exposure and coating material transition areas is effectively captured, and the contact distribution and stress consistency of the wire crimping part is reflected by combining pixel-level path tracking and gray uniformity comparison.

A Displaced Micro-mesh (DMM) primitive enables high complexity geometry for ray and path tracing while minimizing the associated builder costs and preserving high efficiency. A structured, hierarchical representation implicitly encodes vertex positions of a triangle micro-mesh based on a barycentric grid, and enables microvertex displacements to be encoded efficiently (e.g., as scalars linearly interpolated between minimum and maximum triangle surfaces). The resulting displaced micro-mesh primitive provides a highly compressed representation of a potentially vast number of displaced microtriangles that can be stored in a small amount of space. Improvements in ray tracing hardware permit automatic processing of such primitive for ray-geometry intersection testing by ray tracing circuits without requiring intermediate reporting to a shader.

The invention discloses a real-time visual feedback control system, and relates to the technical field of mechanical control. The system comprises a human body information acquisition unit, an environment information acquisition unit, an electric wheelchair, an auxiliary control unit and a main control computer, the human body information acquisition unit is intelligent head display equipment; a high-definition camera and inertial measurement equipment are integrated in the intelligent head display equipment; the environment information acquisition unit comprises a high-definition camera, a laser radar and an ultrasonic probe; the auxiliary control unit is a six-degree-of-freedom mechanical arm and is used for grabbing through the mechanical arm; and the main control computer is used for deciding autonomous navigation path planning of the electric wheelchair and path tracking of the mechanical arm. The head information of the disabled is collected, the lightweight convolutional neural network is adopted to fuse multi-modal signals in real time, the priority of an input source is automatically optimized through a dynamic weight distribution algorithm, the user intention is predicted, the moving path of a mechanical arm is generated, and taking and placing of articles are completed.

Approaches presented herein provide systems and methods for path tracing using a set of textured spherical surfaces obtained from an importance map for an image. An image representation may be generated using the importance map and evaluated to identify a first set of nodes. The nodes may have associated values, such as luminance values, that may be used to subdivide the nodes into bins to maintain a weighed distribution for the associated values. An array of nodes may be generated for sampling and conversion to a three-dimensional direction that may be applied to one or more lighting effects.

The invention discloses a multi-level surface scattering material rendering method based on a conditional variation auto-encoder, and the method comprises the steps: training a neural network, which is called as a BSSRDF model, through employing simulation data, taking the trained neural network as a bidirectional subsurface reflection distribution function BSSRDF for path tracking rendering, and in the process of path tracking rendering, carrying out the reconstruction of the BSSRDF model. And when the light intersects with the three-dimensional grid with the multi-layer surface scattering material, inputting information of intersection points into the distribution function to predict an incidence point and transmissivity of the light in the next step, and reprojecting the predicted incidence point of the light by using an implicit SDF model to obtain an efficient and real rendering result. According to the method, the local geometric features of the three-dimensional grid can be accurately expressed, the BSSRDF model is trained by using the generated light data set, and the transmissivity, the incident position and the incident direction of the light in subsurface scattering are accurately predicted.

Disclosed approaches provide for interactions of secondary rays of light transport paths in a virtual environment to share lighting contributions when determining lighting conditions for a light transport path. Interactions may be shared based on similarities in characteristics (e.g., hit locations), which may define a region in which interactions may share lighting condition data. The region may correspond to a texel of a texture map and lighting contribution data for interactions may be accumulated to the texel spatially and / or temporally, then used to compute composite lighting contribution data that estimates radiance at an interaction. Approaches are also provided for reprojecting lighting contributions of interactions to pixels to share lighting contribution data from secondary bounces of light transport paths while avoiding potential over blurring.

The invention discloses an automatic driving laser radar simulation method for high-fidelity material modeling, and the method comprises the steps: carrying out the high-fidelity modeling of a complete physical process of a single laser channel, and designing a complete technical chain from laser beam modeling, material reflectivity modeling, light path modeling to post-processing. In laser beam modeling, energy space distribution is accurately depicted by introducing an angle attenuation conical beam model; in material reflectivity modeling, a bidirectional reflection distribution function system covering Lambert body, specular reflection, transmission, retroreflection and general materials is established; in light path modeling, traditional single reflection hypothesis is broken through, time-resolved Monte Carlo path tracking and kernel density estimation are adopted, simulation of multi-path reflection and transmission effects is achieved, traditional model bottlenecks are broken through, complex optical phenomena are simulated, the generation mode has expandability and controllability, rare key scenes are efficiently synthesized, and the method is suitable for large-scale popularization and application. And the method has wide field extension potential and high technical universality.

The invention discloses a blood relationship path tracking system and method based on quantum coding and GPU acceleration, and relates to the technical field of data processing.The method comprises the steps that an original execution plan log is analyzed, and cross-platform operation is abstracted into probability superposition state representation including mapping, filtering and connecting operators; compressing the quantum state blood relationship path set to generate a compressed data block composed of binary codes corresponding to the operation sequence; managing the compressed data block by adopting a memory pooling strategy, and outputting a memory pool address corresponding to the compressed data block; in response to a consanguinity query request received in real time, positioning a target memory pool address based on a target path included in the consanguinity query request; calculating a GPU resource allocation weight according to the query priority, the size of a target compressed data block corresponding to the target memory pool address and a video memory residual rate; scheduling the GPU to execute consanguinity path feature matching operation in parallel; and assembling a blood relationship map in a JSON format based on the screened coding path subsets.

The invention discloses an unmanned aerial vehicle image-assisted path tracking and obstacle avoidance method and system, and the method comprises the following steps: calling a multi-modal sensor group deployed on an unmanned aerial vehicle to collect environment data in response to a flight task instruction of the unmanned aerial vehicle, and carrying out the cross-modal data fusion of the environment data through an adaptive time synchronization algorithm; and calling a preset generative adversarial network model, performing image generation and illumination compensation on low-light image data in the fused environment data, and generating a target enhanced image close to a visible light environment. According to the invention, through cross-modal learning and self-supervised learning technologies, the perception and data synchronization capability of the unmanned aerial vehicle in a complex environment is improved. According to the invention, the generative adversarial network is adopted for image enhancement, and especially in a low-light environment, the accuracy of obstacle detection is improved; real-time obstacle detection and three-dimensional environment modeling are performed in combination with a deep learning model, and path planning and obstacle avoidance control are optimized through deep reinforcement learning.

The invention discloses a product oil supervision beforehand early warning system and method based on AI and big data fusion, and relates to the technical field of data supervision. Comprising the steps of 1, constructing a real-time monitoring network, deploying a millimeter-wave radar liquid level instrument to track the liquid level change of an oil tank in real time, matching a refueling machine tax control sensor and an AI camera for behavior recognition, monitoring refueling operation in a whole process, and collecting whole-process data, 2, integrating heterogeneous data sources, carrying out cross-department data real-time synchronization through Kafka and DataX, and carrying out real-time monitoring on the whole-process data. The method comprises the following steps: step 1, establishing a supervision data lake, and preprocessing the collected data to form a structured data system covering the whole chain of purchase-sales-storage-transportation, and step 2, fusing a multi-modal AI model to identify non-periodic abnormity of the liquid level and temperature of an oil tank and early warning equipment associated faults according to the preprocessed structured data, the method comprises the following steps: step 1, constructing an oil station three-dimensional model, fusing transaction data, monitoring videos and equipment logs, identifying cheating behaviors, and constructing an oil station-equipment-personnel-transportation knowledge graph for path traceability of quality abnormity and cheating risks, and step 4, constructing a 1: 1 oil station three-dimensional model by adopting laser point cloud scanning, and automatically highlighting a fault area and performing whole-process visual display when early warning is triggered.

The present application relates to the field of photoelectric detection technology, and provides a full-airspace target capture and tracking method based on a five-axis decoupling control system, comprising: obtaining the initial position parameters of the target through a five-axis decoupling control system; wherein the five-axis decoupling control system comprises: a two-degree-of-freedom swing mirror, a first fixed reflector, a second fixed reflector, a fast reflector and a photoelectric detector; constructing a multivariate linear equation group based on the final position parameters determined by the photoelectric detector and the initial position parameters of the target; using the original-dual path tracking method with predictive correction to solve the multivariate linear equation group in real time, obtaining the optimal angle adjustment amount of each axis, and giving the solution result; a servo control unit controls the angle adjustment amount of each axis in the five-axis decoupling control system according to the solution result, so as to accurately capture and track the target.

The invention discloses an automatic distribution method for patrolling and dispatching personnel based on a knowledge graph. The method comprises the following steps: S1, collecting and preprocessing data information; s2, constructing a heterogeneous knowledge graph, setting node types and generating an attribute matrix and an adjacent matrix; s3, traversing a multi-hop path, calculating an edge weight, and extracting a person post semantic feature vector; s4, introducing avoidance, duty rotation and conflict rules, and performing constraint screening on the semantic feature vectors; s5, scoring the candidate persons based on the post matching degree, the historical frequency and the post rotation period, and outputting a post matching score set; s6, sorting the post matching score set, and generating a sorting list according to the fitness from high to low; and S7, performing path traceability on the primary selection result, extracting associated information, and outputting a recommended result set of the calling personnel. According to the invention, the intelligent, compliant and interpretable distribution of the dispatching process of the patrol personnel is realized, and the personnel selection efficiency and the post matching accuracy are remarkably improved.

This invention relates to the field of unmanned surface vessel (USV) path tracking control technology, specifically disclosing a method, computer equipment, and storage medium for path tracking of USVs based on prioritizing experience replay optimization of near-end policy. The method includes setting up a prioritizing experience replay memory pool, an action space, a state space, and a reward function; constructing a network model based on a near-end policy optimization algorithm, and training the network model using samples from the prioritizing experience replay memory pool; generating current state information based on images acquired by the USV, the current position information of the USV, and the position information of matching points on the reference trajectory; and prioritizing the training of samples with poor action performance based on priority sampling data. This invention employs a prioritizing experience replay memory pool to ensure rapid model convergence, and the network model is constructed based on near-end policy optimization. The use of a state space and reward function tailored to environmental conditions improves the algorithm's adaptability and stability to the environment.

The invention relates to an artificial intelligence-based air-based wireless gateway device, which comprises a gateway shell, an opening is reserved in the gateway shell to fix a lens of an ultra-high-definition image acquisition unit, and an image transmission line and a power supply line of the ultra-high-definition image acquisition unit are connected with an artificial intelligence processing unit through an MIPI interface; the artificial intelligence processing unit is connected with the ad-hoc network communication unit through the inter-board connector, and the artificial intelligence processing unit and the ad-hoc network communication unit are provided with fixing hole sites which are used for being fixed in the gateway shell; the ultra-high-definition image acquisition unit is used for acquiring a target image; the artificial intelligence processing unit is used for inputting the target image into a yolov5AI algorithm model to obtain a target result, and performing path tracking on the target result and individual cooperative control of an aircraft cluster; and the ad hoc network communication unit is used for carrying out inter-board communication with the artificial intelligence processing unit.

This application provides an image distortion simulation method and electronic device. The method includes: acquiring first image parameters of a source image, second image parameters of a target image, and lens parameters of a camera, wherein the target image is a distorted image of the source image after being imaged by the camera's lens; determining the spatial coordinates of each target pixel in the target image based on the second image parameters; performing reverse ray path tracing on each target pixel based on the spatial coordinates, the first image parameters, and the lens parameters to obtain the mapping relationship between each target pixel and each non-distorted pixel in the source image; assigning color values ​​to each target pixel in the target image based on the mapping relationship, and outputting the assigned target image to improve the accuracy, efficiency, and flexibility of image distortion simulation.

The invention discloses a pedestrian re-identification method based on path tracking, and the method comprises the steps: constructing a geographic time-space relation graph according to the layout position of a camera group, taking the camera group in which a target pedestrian appears for the first time as the camera group of the current round, and adding the camera group into a path record set; taking the current round and the adjacent camera group as a query camera group and a gallery camera group respectively; a monitoring video shot by a camera group is input into an image preprocessing module to extract pedestrian images to construct a query set and an image library set, and then the pedestrian images are input into a pedestrian re-recognition module to be compared to obtain a hit image; if the target pedestrian exists in the hit image, adding the corresponding camera into the path record set, taking the corresponding camera as a camera group of the current round, and repeating the previous steps; otherwise, outputting the target pedestrian path trajectory. According to the method, the application technical problems of huge detection quantity, low robustness of the pre-training model and poor applicability are solved, and the problem of intuitively describing personnel path tracking logic is solved.

Provided in the present invention are a rendering method and rendering system for an oblique photography model. The rendering method comprises: acquiring geometric information and texture information of oblique photography model data; on the basis of the geometric information and the texture information, using vector correction, ellipsoid transformation and projection transformation to perform geometric mapping on an oblique photography model; performing texture mapping on the oblique photography model by means of texture coordinate matching and texture mapping, so as to complete preliminary visualization of the model; and, on the basis of the preliminary visualization, rendering the oblique photography model by means of a Monte Carlo path tracing algorithm. Different from conventional scan line or rasterization rendering modes, for oblique photography models, on the basis of parsed geometric information, texture information and coordinate information, the present invention uses diversified technical processes to achieve geometric mapping and texture mapping of models, and introduces a Monte Carlo path tracing algorithm to simulate natural lighting for oblique photography models, thereby effectively improving rendering authenticity of oblique photography models.

The present disclosure relates to systems, methods, and non-transitory computer-readable media that provide guidelines for path tracing of raster images. In particular, the disclosed systems, in one or more implementations, determine a set of outlines corresponding to the boundaries of a set of segments within a raster image. The disclosed systems select from the set of outlines an outline corresponding to a segment in response to input from a client device specifying one or more points within a threshold for the outline's distance. The disclosed systems provide a highlighted indication of the outline corresponding to the segment for display in a graphical user interface of a device.The disclosed systems generate a vector path within a vector image based on the outline corresponding to the segment, in response to a selection of the outline via the graphical user interface.

The embodiment of the invention provides an image processing method, a model training method, electronic equipment and a storage medium. The image processing method comprises the steps of obtaining color information corresponding to each image frame in a target image frame sequence obtained through Monte Carlo path tracking rendering; determining target color information corresponding to the image frame i according to the first color information of the image frame (i-1) and the second color information of the image frame i; determining a plurality of color features and a plurality of weight parameters corresponding to the image frame i according to the target color information; generating a plurality of grid sampling features according to the first color information and the plurality of color features, the plurality of grid sampling features corresponding to different image resolution; decoding the plurality of grid sampling features by using the plurality of color features to obtain a plurality of grid decoding features, the plurality of grid decoding features corresponding to the same image resolution; and determining de-noised color information corresponding to the image frame i according to the plurality of grid decoding features and the plurality of weight parameters.

A method for rendering an image of a three-dimensional scene using path tracing. For a current pixel of the image to be rendered using path tracing, an associated pixel is identified, associated with the current pixel, wherein at least one parameter for rendering the associated pixel using path tracing has been previously determined. The at least one parameter for rendering the associated pixel is obtained, and used to determine at least one parameter for rendering the current pixel. The at least one determined parameter is output to control a rendering of the current pixel using path tracing.

This invention relates to a system and method for opinion extraction and evolution path tracking, belonging to the field of film review analysis technology. It includes a data input module, a data processing module, a temporal alignment module, a temporal enhancement module, a deep extraction module, an analysis module, and a visualization module. The data input module acquires long film review text data, temporal metadata, and external event data. The text processing module outputs text feature vectors, temporal decay factors, and external event feature vectors. The temporal alignment module outputs aligned temporal context. The temporal enhancement module performs temporal enhancement attention calculation. The deep extraction module extracts deep temporal features. The analysis module outputs sentiment curves and topic drift detection results. The visualization module generates a dynamic reputation evolution map and a visualization analysis report. This application effectively demonstrates the evolution of opinions in long film reviews.

The present disclosure relates to systems and methods for volume data rendering. The methods may include obtaining an initial image relating to volume data of a subject by performing a path tracing operation on the volume data, obtaining a total sampling operation count corresponding to the initial image, determining, based on the volume data, one or more reference parameters relating to the initial image, and generating, based on historical image data relating to the volume date of the subject, the initial image, the total sampling operation count, and the one or more reference parameters, a target image using an image processing model.

The present invention provides a control method for a cable used for charging an unmanned ship based on visual recognition, which relates to the technical field of data processing. The method includes: collecting continuous image frames of the charging area of the unmanned ship, identifying the spatial displacement and tilt angle change of the unmanned ship, analyzing the attitude deviation of the unmanned ship caused by sea waves, calculating the water surface disturbance factor, identifying the position of the charging interface to obtain the initial positioning coordinates, predicting and analyzing the disturbance trend within a preset time window, predicting the position change range of the charging interface to obtain predicted coordinate data, planning the path for the cable to dock with the charging interface to obtain a compensation path sequence, generating a cable propulsion instruction, and collecting images of the charging interface area to obtain path tracking image data, and determining whether the docking of the charging interface is successful. When the result is no, the compensation path sequence is dynamically corrected. The present invention controls the cable to charge the unmanned ship through visual recognition.

A method for rendering an image of a three-dimensional scene using path tracing. Scene feature data for a pixel of the image to be rendered using path tracing is obtained, indicating visual features of a location of the three-dimensional scene for depiction by the pixel in the image, is obtained. The scene feature data is processed at an artificial neural network, ANN, to determine a budget allocation parameter for rendering the pixel using path tracing. The budget allocation parameter is indicative of an amount of computing resources to be used for rendering the pixel using path tracing. The ANN is trained to determine, from the scene feature data, the budget allocation parameter based on the visual features indicated by the scene feature data. The determined budget allocation parameter is output from the ANN to control a rendering of the pixel using path tracing.

Systems and methods for 3D image scanners for real-time dynamic 3D surface imaging are disclosed. Embodiments of the present systems and methods describe a system and method comprising a first and / or second camera, and a projector, and a processor, the projector projects structured light with a fringe pattern onto a 3D object, the processor is configured to extract a phase map and a texture image from the image, and the processor calculates depth information from the phase map. Embodiments further describe methods and systems to determine wrapped phase from the image using a Hilbert transform, and to generate absolute phase from the wrapped phase using a combination of a quality-guided path following algorithm, a two-wavelength phase unwrapping algorithm, or a Markov Random Field method, and to generate a phase map from the absolute phase to determine depth information of the 3D object. Algorithms using conformal mapping, optimal transport mapping, and Tschupmueller mapping are used to register and track captured 3D geometry surfaces.

The invention discloses a calibration method of a curved surface medium imaging vision measurement system based on a light model. The calibration method comprises the following steps: shooting a group of first plane targets under the condition of no curved surface medium; extracting a first target feature, and performing camera calibration of the general distortion model based on the first target feature; shooting a group of calibration point images in first spatial distribution under the condition of no curved surface medium, and calibrating a first pose of the camera in a world coordinate system based on the calibration point images in the first spatial distribution; shooting a group of second plane targets in the presence of the curved medium; extracting a second target feature, and performing camera calibration of the general distortion model based on the second target feature; shooting a group of calibration point images in second spatial distribution in the presence of the curved medium, and calibrating a second pose of the camera in the world coordinate system based on the calibration point images in the second spatial distribution; eliminating distortion of the extracted second target feature and the second spatial distribution calibration point image feature by using a general distortion model calibrated based on the first target feature to obtain a distortion-removed two-dimensional feature point set; establishing a light model between an image point which is imaged through the curved surface medium and incident light outside the curved surface medium based on light path tracing; and calibrating mapping parameters of the light model by using the two-dimensional feature point set after distortion removal and the corresponding three-dimensional space position. A corresponding measurement method is also disclosed.

A technique for performing a path tracing operation is provided. A cache is interrogated using a probe operation that returns a Boolean result for each of a plurality of scene data elements associated with the path tracing operation. The Boolean result indicates presence or absence of a scene data element in the cache. The path tracing operation executes at least a first instruction based at least in part on the probe operation returning a Boolean result indicating absence of one of the scene data elements in the cache. The path tracing operation executes at least a second instruction based at least in part on the probe operation returning a Boolean result indicating presence of said one scene data element in the cache, wherein the first instruction is different from the second instruction.

The application provides a violent and terrorist video recognition method based on key feature fusion. A key feature database based on violent and terrorist video recognition is built in advance; a to-be-recognized segment video is acquired, and content features and propagation channel data of the to-be-recognized segment video are extracted; wherein the content features include audio features and image features; according to the key feature database, audio key features and image key features of the to-be-recognized segment video are subjected to time-axis synchronous space-time fusion, and synchronous space-time features are generated; according to the propagation channel data, propagation path tracing and synchronous space-time feature authentication of the to-be-recognized video are performed, and a video subject of the to-be-recognized video is determined; according to the video subject, violent and terrorist video identification is performed, and when the video subject is a violent and terrorist video, the to-be-recognized segment video is identified as a violent and terrorist video.

The invention relates to the technical field of photoelectric detection, and provides a full-airspace target capturing and tracking method based on a five-axis decoupling control system, and the method comprises the steps: obtaining an initial position parameter of a target through the five-axis decoupling control system; the five-axis decoupling control system comprises a two-degree-of-freedom swing mirror, a first fixed reflecting mirror, a second fixed reflecting mirror, a fast reflecting mirror and a photoelectric detector. Constructing a multivariate linear equation set based on the final position parameter determined by the photoelectric detector and the initial position parameter of the target; resolving the multivariate linear equation set in real time by using a primal-dual path tracking method with prediction calibration, obtaining the optimal angle adjustment amount of each axis, and giving a resolving result; and the servo control unit controls the adjustment amount of each axis angle in the five-axis decoupling control system according to the resolving result so as to accurately capture and track the target.