28 results about "Information projection" patented technology

The invention discloses a video generation method and system based on a scene adaptive track and mirror moving control, and belongs to the technical field of computer vision. The method comprises the following steps: firstly, aligning a scene point cloud and a parameterized human motion sequence to a unified coordinate system, generating a ground adaptive three-dimensional track according to a two-dimensional track input by a user and scene geometry, and redirecting the motion; projecting the three-dimensional information into a two-dimensional condition graph based on camera parameters; and finally, in a conditional diffusion model generation process, selectively fusing scene geometric condition information after noise addition into the current denoising latent variable by utilizing a visibility mask generated by the depth map, so as to realize view angle self-adaptive mirror operation control. According to the method, the problems of conflict between character motion and scene, inflexible track control and inconsistent background under camera motion are solved, and a controllable video which is physically consistent and visually real can be generated.

The application relates to a rapid matching positioning optical projection system and method, wherein the optical projection system comprises a projector, a camera, an information editing module, a rapid positioning module and a projection operation module; the information editing module is used for compiling virtual process information required by each working procedure according to an assembly process flow, and generating a guide information set file; the rapid positioning module is used for determining two-dimensional coordinates of a preset target ball mark reference point in a camera image after movement according to projected workpiece images before and after movement of the optical projection system, and corresponding points of the target ball mark reference point in a projector image, and determining pose information of the projected workpiece relative to a projector space coordinate system in combination with measurement data of three-dimensional coordinates of the target ball obtained by a measuring device; the projection operation module is used for generating a working procedure guide image through a three-dimensional space projection algorithm according to the guide information set file and the pose information; and the projector is used for projecting the working procedure guide image on a surface of the projected workpiece.

This application provides a joint emotion recognition method and system based on action unit-driven attention, relating to the fields of computer vision and affective computing. The method includes: inputting a feature map into an action unit (AU)-driven attention branch, processing it through a sigmoid activation function to obtain an activation vector, and inputting this vector into a learnable mapping layer; projecting the AU information back into the spatial geometric space to generate a single-channel spatial attention map, which is then multiplied element-wise with the feature map to obtain a weighted feature map; determining continuous values ​​for discrete emotion category probabilities, valence, and arousal; constructing a total loss function; and training the model using the acquired AffectNet and Aff-wild2 datasets to determine the target model for emotion recognition. This application achieves end-to-end joint optimization of AU detection and emotion recognition, significantly enhancing the interpretability and generalization ability of the model while improving emotion recognition accuracy, enabling it to better adapt to the emotion recognition needs in complex scenarios.

The application provides a kind of complex environment under image enhancement and passage cost chart generation method and system, applied to image processing technical field, the method obtains original environment image and standardization processing, based on local gray variance self-adapting determination cutting limit threshold, combined with brightness protection weight generation enhanced image;Extract boundary mutation, surface roughness, local contrast and shadow risk and other multi-response characteristics, determine candidate high-cost area and generate boundary uncertain response;Fusion generates pixel-level passage cost chart above-mentioned response, and combined with camera calibration parameter and posture information projection to ground coordinate system, output spatial passage cost chart and passage area result.The application can reduce the influence of complex illumination, shadow and texture change on passage area extraction, improve the continuity and stability of passage risk representation.

Provided is an information projection method in which a projection device mounted on a vehicle displays information, wherein if it is determined that the vehicle is in an automatic driving state during automatic driving, the project unit displays information related to automatic driving on the basis of a display condition during the automatic driving.

This application provides an intelligent control method and device for a multi-functional projection device, belonging to the field of projection control. The method includes: acquiring personnel flow information, personnel distribution information, and personnel trajectory information of a target area; dividing the personnel flow information into multiple target personnel flow information based on the personnel flow information; each target personnel flow information corresponds one-to-one with a target sub-area; each target sub-area is an area within the target area that is at a different distance from the target multi-functional projection device; dividing the personnel trajectory information into multiple target personnel trajectory information based on the personnel flow information; each target personnel trajectory information corresponds one-to-one with a target sub-area; determining a target projection control strategy based on the multiple target personnel flow information, multiple target personnel trajectory information, and personnel distribution information; and controlling the target multi-functional projection device to perform projection display based on the target projection control strategy. This application can improve the adaptability of information projection by the projection device.

This invention discloses a visual recognition-based method and system for detecting OCA bonding defects, belonging to the field of defect detection. The method includes: acquiring the original grayscale image of the OCA bonding area; automatically filtering a candidate set of normal regions based on local texture flatness, and estimating the global background joint grayscale distribution based on the candidate set of normal regions; extracting the empirical joint grayscale distribution of the local neighborhood window for each pixel position in the original grayscale image; calculating the minimum information projection distribution of the empirical joint grayscale distribution onto the global background joint grayscale distribution under exponential family constraints, and calculating the cross-entropy between the global background joint grayscale distribution and the minimum information projection distribution to obtain a cross-entropy map; performing threshold segmentation on the cross-entropy map and outputting a defect location mask. This application solves the technical problem that existing OCA bonding defect detection technologies are unable to distinguish between grayscale changes caused by normal process fluctuations and real defects, resulting in insufficient detection efficiency and production line adaptability.

The invention relates to a projection lamp and method for an underground coal mine, and belongs to the technical field of intelligent illumination and information projection for the underground coal mine. The technical problems that traditional underground lighting equipment can only provide environment floodlight and cannot dynamically project graphical information, and a universal projector is poor in adaptability, low in safety and prone to causing image blurring in the underground high-dust, humid and vibration environment are solved. According to the technical scheme, the projection lamp is provided, the projection lamp is provided with an anti-explosion shell, an optical projection module, an image generation and control module, an environment sensing module and a power supply and communication module, image parameters are dynamically optimized through environment sensing data, and clear projection is achieved. The technical effects are that the underground information transmission mode is innovated, the environmental adaptability and intrinsic safety are improved, the intelligent integration capability is enhanced, and the long-term operation and maintenance cost is reduced.

A hand piece for dermal therapy is provided that includes a projector configured to project digital information onto the skin of the patient. A clinician may thus monitor the digital information to confirm that the proper therapy parameters are being used or to adjust the dermal therapy based upon the therapy parameters including in the digital information. In addition, the hand piece includes a camera so that image processing may be used to identify features such as a lesion within a treatment area on the skin of the patient. Based on this image processing, the projector may then selectively illuminate the lesion.

A work information projection system for estimating a position in a work site. The work information projection system includes a camera (13), a stereo camera (14), and a control device. The camera (13) is disposed toward a first direction, and acquires first environment information that is information of an object disposed in the first direction and around. The stereo camera (14) is disposed toward a second direction, and acquires second environment information that is information of an object disposed in the second direction and around. In a case where it is determined that the second environment information cannot be acquired, the control device estimates a position in a first coordinate system based on the first environment information.

The invention provides a model resource processing method and device, a computer program product and electronic equipment. The model resource processing method comprises the following steps: determining a geometric grid corresponding to a target neural field model based on the target neural field model and original images under a plurality of observation view angles; performing UV expansion on a geometric grid corresponding to the target neural field model to obtain a UV layout of the geometric grid, and performing reverse solution based on the UV layout of the geometric grid to obtain a PBR material map of the geometric grid; semantic instance segmentation information of each original image is determined through semantic instance segmentation, and the semantic instance segmentation information of each original image is projected to a surface corresponding to the geometric grid to obtain a semantic instance label corresponding to the geometric grid; and packaging the geometric grid, the PBR material map of the geometric grid and the semantic instance label corresponding to the geometric grid into a standardized PBR asset package based on a preset packaging format so as to improve the reusability of model resources.

The application relates to a laser radar and camera external parameter online calibration method and device based on a deep neural network and a storage medium, wherein the method comprises the following steps: building a laser radar and camera joint calibration platform; calibrating camera internal parameters; synchronously time stamping; acquiring a gray image and a point cloud and completing pretreatment; initializing external parameters; converting the point cloud to a camera coordinate system; based on a random mask mode, respectively covering the point cloud and the gray image according to a preconfigured covering ratio; projecting the covered point cloud to an image plane to obtain depth information projection and reflectivity information projection; constructing an external parameter online calibration network, which is composed of an input branch, a prediction branch, a fusion branch and a result output module, and realizing external parameter calibration by fusing the features of the depth information projection, a depth map, the reflectivity information projection and a covered gray image; training the external parameter online calibration network; and completing external parameter online calibration. Compared with the prior art, the application has the advantages of good calibration effect, wide application range and the like.

The application discloses a kind of multi-feature regularization rendering methods and systems for sparse view angle.It is easy to appear appearance overfitting, detail loss, geometric drift and floating artifact and other problems for traditional three-dimensional Gaussian splashing (3DGS) new view synthesis under sparse view angle input, the joint optimization mechanism of pixel reconstruction constraint, multi-source feature consistency regularization, depth information projection consistency, scale-insensitive depth geometry regularization is used to realize stable learning and high-quality new view rendering of three-dimensional scene representation.The application does not need large-scale pre-training and additional artificial labeling, is compatible with 3DGS, training cost is controllable and inference keeps real-time rendering ability, significantly improves the quality and stability of new view synthesis under sparse view angle input, and can be widely applied to few-shot three-dimensional reconstruction, real-time new view synthesis and high-quality scene visualization and other fields.

The application provides a robot explainable intelligent computing method and system, which comprises the following steps: S1, collecting action behavior data and tactile representation data of a target object operation task of a robot in a working state; S2, extracting feature information of semantic description of the action behavior data and the tactile representation data, projecting feature information with strong correlation into a shared semantic subspace, and establishing a feature information vector matrix corresponding to the data and the task; S3, combining a symbolic planner with a specific tactile model based on a GEP algorithm, so as to achieve the goal of combining a long-term task structure of the robot with an operation strategy learned from tactile signals; and S4, based on a Bayesian trust model, cognitively fusing and calculating the robot action behavior data and the tactile representation data by using a probability method, so as to predict the next action of the robot. The problems of lack of explainability and transparency of a machine learning model are effectively solved.

The application relates to a multi-level 3D target expression method, system and medium applied to an automatic driving scene, the method comprising the following steps: B1. A vehicle travels on a road, real-time road image data information is acquired based on a vehicle-mounted camera, real-time road point cloud data information is acquired based on a vehicle-mounted laser radar, and distance data information of an obstacle is acquired in real time based on a vehicle-mounted ultrasonic radar; B2. The road image data information is input into a convolutional neural network for identification, and is classified according to highway signs, and highway scene classification data information and non-highway scene classification data information are output; and B3. The road point cloud data information is projected to the road image data information based on the highway scene classification data information. The application not only facilitates selection of an optimal expression scheme for decision planning under suitable working conditions, but also solves the problem of perception and planning cooperation in different scenes.

The application provides a kind of engineering structure multidimensional variable non-directional cooperative measurement method and system, it is related to data determination technical field, comprising: obtaining the original observation data about the to-be-measured multidimensional variable of engineering structure;Based on the original observation data of mute working condition, estimate sensor noise covariance matrix;Combined with sensor noise covariance matrix, direct information matrix describing non-coupling information is sequentially constructed and composite information matrix describing cooperative information;Combined with load working condition original observation data, construct information projection regularization functional about composite information matrix, to suppress cooperative estimation divergence caused by cooperative information quantity condition number too large;According to the information non-directional filling rate in composite information matrix, determine the inhibition intensity of cooperative estimation divergence in information projection regularization functional;According to the inhibition intensity, update information projection regularization functional;Solve the updated information projection regularization functional, obtain the optimal estimated value of to-be-measured multidimensional variable.

The application discloses a phonon transport property calculation model, system and method based on wave-particle duality, which comprises a normal mode analysis module, a phonon wavelet transform module and a thermal conductivity calculation module, and unifies the particle nature and wave nature of phonons in a thermal conductivity prediction framework, wherein the normal mode analysis module is used for projecting atomic scale dynamic evolution information to a phonon mode space to obtain mode-resolved space-time evolution data; the phonon wavelet transform module is used for wavelet transforming the mode-resolved space-time evolution data to quantitatively characterize the coherent time and coherent length of phonons; and the thermal conductivity calculation module is used for simultaneously calculating the contribution of phonon particle nature lifetime and wave nature coherent time to thermal conductivity based on the mode-resolved space-time evolution data, the coherent time and the coherent length, thereby providing a phonon transport image closer to physical reality and greatly improving the research and development efficiency.

This invention discloses a federated transfer fine-tuning system using visual cues and contrastive learning, relating to the field of intelligent transportation. This invention addresses the contradiction between data constraints and the high data requirements of large-scale traffic scene model training. It introduces non-public or private data from multiple parties for large-scale model training through a federated learning approach that eliminates the need for direct data transfer. Simultaneously, by using a visual cue learning module and a contrastive learning loss module, the overall model training effect is effectively improved, further enhancing the performance of generative large models in traffic scene image question answering tasks. By utilizing the cross-modal projection mechanism of linear multimodal large models, and employing a process of projecting visual modal information onto the text modality for language model processing, the text generation capability of the large language model is preserved, avoiding the problem of traditional training methods based on training data answer labeling limiting model response performance due to answer limitations imposed by data content.

The application relates to the field of machine vision, and discloses a printing and dyeing defect detection method and system. The method comprises the following steps: an image of a printing and dyeing object surface is collected by a multi-angle imaging device arranged on a production line to obtain an original image set containing multiple visual angles; alignment processing is performed on the original image set to obtain a registration image set in a unified coordinate system; a three-dimensional point cloud model is generated according to the registration image set to obtain the geometric structure features of the printing and dyeing object surface; color information in the registration image set is projected to the three-dimensional point cloud model to obtain a three-dimensional color distribution model; pixel points in the three-dimensional color distribution model are grouped to obtain boundary features of a color difference area; according to the boundary features of the color difference area, the coordinate range of the color difference area in the three-dimensional color distribution model is analyzed to determine the spatial position coordinates of the defect. Through the technical scheme, color information projection distortion caused by geometric undulations is avoided, and the recognition accuracy of the color difference area is improved.

The invention discloses a traffic emergency dispersion system based on unmanned aerial vehicle ground vehicle window information projection, which realizes accurate identification of spectral data of different glass materials and protective layers of a front vehicle window through a multispectral imaging and polarized light detection technology, and dynamically adjusts projection parameters in combination with a reflected light spot acquisition and quality evaluation technology. Projection information is ensured to be clear and visible; wherein the information comprises road congestion information, traffic management prompt information and the like. The system is composed of a multispectral camera, a polarization camera, a miniature projector, an edge calculation module and a communication module, can detect different glass materials and protective layers of a front car window in real time, assesses projection quality, and adjusts projection brightness, contrast and focal length according to needs. The system has the advantages of high precision, strong real-time performance, adaptability to complex environments and the like, can be widely applied to the fields of traffic emergency guidance and smart city management, and effectively overcomes the defects of the existing traffic dispersion means in the aspects of accuracy, timeliness and flexibility of information transmission.

The present disclosure relates to the technical field of data processing, and in particular, to a multi-target tracking method, device, storage medium and electronic equipment. The method comprises: determining image data sequence and point cloud data information of a current time in a current scene, wherein the elements in the image data sequence are moving targets; projecting the point cloud data information onto the corresponding elements in the image data sequence to generate a target sequence; generating a correlation matrix according to the feature information of each element in the target sequence; and matching the latest point cloud data information and the correlation matrix to obtain a tracking result. In this way, the point cloud data information corresponding to the three-dimensional space can be projected into the image data sequence corresponding to the two-dimensional space, the elements in the image data sequence are used to filter part of the point cloud, the calculation amount when generating the correlation matrix is reduced, the target tracking efficiency is improved, and meanwhile, the uniformity of the image data sequence and the point cloud data information in space and time is ensured, and the accuracy of the target tracking is improved.

The application provides a geological disaster monitoring method, a geological disaster monitoring device, an electronic device and a computer readable storage medium. The method comprises: observing the ground surface beside the track through a synthetic aperture radar arranged on a train to obtain an observation image; obtaining deformation information of the ground surface according to the observation image; projecting the deformation information to a two-dimensional coordinate system, the two-dimensional coordinate system taking the spatial position of the synthetic aperture radar as the origin, taking the instantaneous driving direction of the train as the Y axis, and taking the direction horizontally pointing to the synthetic aperture radar and perpendicular to the instantaneous driving direction as the X axis; and monitoring the geological disaster distribution of the ground surface according to the deformation information in the two-dimensional coordinate system. According to the application, the synthetic aperture radar is carried on the train platform, more accurate observation can be realized, the deformation information is stored in the two-dimensional coordinate system, the data can be simplified, and the operation efficiency is improved.

The present application relates to the technical field of intelligent interaction, and discloses a multifunctional portable intelligent interaction system having an AI glasses mode. The multifunctional portable intelligent interaction system comprises: a device body, comprising a brain module and used for executing an AI processing task; a recognition module, connected to the brain module and used for performing environment recognition and user demand analysis; a front camera, connected to the brain module and used for image acquisition and environment monitoring; a voice intercom module, connected to the brain module and used for voice recognition and dialogue; a projection module, connected to the brain module and used for projecting a simulated result of a user demand; and AI glasses, connected to the brain module and used for displaying information, thereby addressing defects of projection technology. A plurality of functional modules are integrated such that a single device can implement multiple functions such as environment recognition, health monitoring, voice dialogue, and information projection, thereby greatly improving operational efficiency and convenience. Compared with robots and intelligent vehicles, the present system has lower manufacturing costs, is easy to carry, and is applicable to more scenarios.

The application discloses an agent training data set construction method and system combined with cross-modal learning, relates to the technical field of agent training, and comprises the following steps: acquiring multi-modal intelligence data from a multi-source database and extracting feature information, projecting the feature information to a preset semantic space to obtain cross-modal alignment features; constructing an agent function call syntax tree based on the cross-modal alignment features, analyzing the agent function call syntax tree into an instruction sequence, constructing an analysis and reasoning chain, generating sample labels and interaction trajectories; constructing a task dependency graph using the sample labels and the interaction trajectories, decomposing the task dependency graph into multiple parallel decision branches, dynamically adjusting a processing strategy to form a training data set; mapping the training data set to an agent target space, optimizing the analysis and reasoning chain through a training feedback channel, and outputting a standardized sample library; and finally inputting to-be-analyzed data into a trained agent, generating an intelligence analysis report according to the analysis and reasoning chain.

This invention discloses a method, system, device, and medium for projecting warning information onto power equipment. The method includes: acquiring warning information from the power equipment; sorting the warning information to generate a first projection sequence; compressing the expected projection time of warnings belonging to a first hazard level in the first projection sequence to obtain a second projection sequence; inputting the second projection sequence into a preset fitness function for iterative optimization to obtain a third projection sequence; determining whether the expected projection time of warnings belonging to a third hazard level in the third projection sequence meets preset constraints; if so, filling the gap projection point set of the third projection sequence with warning information belonging to the second hazard level to obtain a target projection sequence; and projecting the warning information from the power equipment according to the target projection sequence. This application can accurately determine the monitoring projection display time of different levels of warnings for power equipment under conditions of multiple concurrent faults.

The invention relates to a method for projecting information about a geometric three-dimensional user interface onto the user interface, which is arranged, for example, in a vehicle, in particular a passenger car, comprising the steps: a) Projection (S1, S11) of information about a function of the user interface in the form of a physical control element (1, 2, 3, 4, 5), its state, its set value or other optically representable information relating to the control element onto at least a part of a surface of the control element (1, 2, 3, 4, 5) with at least one information element (1B) with a predetermined illumination intensity of the at least one information element (1B), b) Detection (S3, S13) of an approach of a first point (P1) of a finger (10'), hand (10) or elbow of a user of the control element (1, 2, 3, 4, 5) facing the control element (1, 2, 3, 4, 5) to a second point (P2) on the surface of the control element (1, 2, 3, 4, 5) at a predetermined distance (d1), and c) Change (S4) of the projected information on at least part of the surface of the control element (1, 2, 3, 4, 5) upon reaching and / or falling below the predetermined distance (d1) between the first point (P1) and the second point (P2) such that at least one other information element (1B') than the at least one information element (1B) before reaching the predetermined distance, or a further information element (1C1, 1C2) is displayed in relation to the at least one information element (1B) before reaching the predetermined distance (d1), and / or a further illumination intensity of the at least one information element (1B) before reaching the predetermined distance (d1), or of the other (1B') or further information element (1C1, 1C2) that is displayed upon reaching and / or falling below the predetermined distance (d1).is higher than the illumination intensity of at least one displayed information element (1B) before reaching the predetermined distance (d1).

The invention discloses a rapid wall surface simulation method of a lattice point type unstructured grid finite volume method, and belongs to the technical field of calculation fluid wall surface simulation. According to the method, wall surface flow flux calculation logic is simplified, and the boundary facet center gradient is calculated through original grid physical quantity information projection; in the process of solving the convection flux and the diffusion flux, through calculation modes such as momentum interpolation and boundary node physical quantity interpolation, in combination with an iterative solution and under-relaxation processing mode, rapid solving of the wall surface flow flux is achieved, so that the time consumption of overall simulation calculation is shortened, the solving efficiency is improved, and the calculation cost in engineering application is reduced.

The invention discloses a prompt information projection method, device and equipment for an automobile, and relates to the technical field of display. Determining a vehicle driving state according to the vehicle driving speed; determining projection content according to the vehicle driving state; and projecting the projection content on the rear windshield of the automobile for external display. According to the scheme, the reason that the front vehicle cannot move can be directly and visually transmitted to the rear vehicle in a projection mode, doubts and misunderstanding of a driver of the rear vehicle are eliminated, meaningless whistling caused by information asymmetry is remarkably reduced, and urban noise pollution is reduced.