252 results about "Shadowings" patented technology

This application relates to a shadow rendering method performed by a computer device. The method includes: obtaining a world space location of a pixel point of a screen space in a world space in which a virtual scene is located; determining, from a plurality of light sources in the virtual scene, a target light source whose illumination area comprises the world space location of the pixel point; obtaining a world space location of the target light source in the world space; performing ray tracing based on the world space location of the target light source and the world space location of the pixel point, to obtain light source access information of the target light source for the pixel point; and performing shadow rendering on the virtual scene based on the light source access information.

The present disclosure relates to systems, methods, and non-transitory computer-readable media that detects shadows, removes shadows, and synthesizes shadows in a joint-framework. In particular, the disclosed systems access an object mask of an object and a digital image depicting the object and a shadow of the object. Furthermore, the disclosed systems perform object-centered shadow detection and removal to generate a modified digital image without the shadow by utilizing a shadow analyzer model. Moreover, the disclosed systems receive a user interaction to manipulate an object and generate a modified shadow utilizing a shadow synthesis model where the shadow synthesis model is conditioned on a shadow mask generated by the shadow analyzer model.

The invention discloses a self-adaptive dimming control method and system for multi-light-source data acquisition, and relates to the technical field of intelligent control. The method comprises the following steps: capturing a real-time image of an operation area for multi-angle analysis, obtaining a multi-angle illumination image data set for illumination analysis, and identifying illumination defect information; mapping the shadow distribution data to an operation area for analysis and identification, generating a plurality of shadow sub-areas, performing multi-light-source optimization according to the glare intensity data and the plurality of shadow sub-areas, and generating multi-light-source initial combination parameters; and driving the multi-light-source combined shadowless lamp to perform illumination control according to the multi-light-source initial combination parameters, updating and adjusting the multi-light-source initial combination parameters according to a control result in combination with the real-time image of the surgical area, and generating a multi-light-source dynamic combination to perform real-time illumination control on the shadowless lamp. The technical problem that in the prior art, a shadowless lamp cannot be dynamically adjusted according to a real-time scene, and consequently the lighting effect is poor is solved, and the technical effect of improving the lighting effect is achieved.

The invention relates to a method for removing a mountain shadow in an optical remote sensing image. The removing method comprises the following steps: determining a shadow region and a non-shadow region in the optical remote sensing image according to spectral data of different wavebands; acquiring first spectral data of various ground objects in a non-shadow area, and establishing a non-shadow area spectrum library; according to the similarity between each second spectrum data in the shadow area and the first spectrum data in the non-shadow area spectrum library, obtaining reference spectrum data in the non-shadow area spectrum library, and respectively generating new spectrum data corresponding to the second spectrum data of each pixel in the shadow area; and generating a new shadow area according to the new spectral data, and merging to obtain a shadow-free remote sensing image. The shadow-free remote sensing image is obtained by removing the shadow, so that the image is clearer and brighter, the target recognition capability is enhanced, the information extraction precision is improved, and the application of the remote sensing data is more accurate and reliable.

The invention discloses a cluster type whole mine AI video analysis and linkage method, and relates to the technical field of artificial intelligence and mine safety monitoring, and the method comprises the following steps: under a unified event time baseline, obtaining light source modulation information and a mine car moving trajectory, constructing a spatial-temporal feature dictionary of a shadow, and generating a shadow profile reference for dynamic comparison; based on shadow profile reference, a multi-view geometric trajectory is collected, a polarization image and a temperature image are fused, falling textures are stripped, and a shadow confidence spectrum is constructed. According to the method, a unified event time baseline and shadow profile reference is constructed, multi-view geometric, polarization and temperature images are fused, the dynamic shadow is identified, and the confidence is quantified; according to the method, stable features are extracted through anti-fact playback to generate misjudgment fingerprints, misjudgment is filtered through cluster consistency arbitration and dual field verification, and finally, shadow dynamics are actively intervened through a phase gating illumination structure, so that closed-loop regulation and control are realized, and the mine monitoring accuracy and safety are improved.

The invention provides a photovoltaic panel arrangement method and system under the same wind and light field, and relates to the technical field of photovoltaic panels, and the method comprises the steps: obtaining fan parameters and a photovoltaic panel arrangement region; based on the fan parameters, shadow data of a photovoltaic panel arrangement area within a preset duration are obtained; establishing a mapping relation between the arrangement parameters of the photovoltaic panel and the generating capacity per unit area in the presence of shadow data; clustering the shadow regions to obtain a plurality of shadow clustering regions; determining optimized photovoltaic panel arrangement parameters of each shadow clustering region by combining the mapping relationship and taking maximization of the generating capacity per unit area as a target; and arranging the photovoltaic panels in each shadow clustering area according to the optimized photovoltaic panel arrangement parameters. The power generation loss and the hot spot effect caused by shielding are reduced, and land waste caused by large-scale distribution forbidding is avoided.

The invention relates to the field of shadow removal, in particular to a single-image shadow removal method based on global context perception and a computer device. According to the scheme, an original data set is preprocessed, then a shadow model based on the Retinex theory is introduced, and the model can describe illumination and color differences between a shadow area and a non-shadow area in an image; an encoder and a decoder which are constructed by using a multi-scale channel attention mechanism are used for efficiently capturing hierarchical global information; constructing a shadow removal network based on context awareness based on an encoder and a decoder, and adding a shadow interaction module and a shadow interaction attention mechanism in a bottleneck stage of the shadow removal network based on a shadow model; training a shadow removal network by using a loss function; testing the trained shadow removal network by using the public data set to evaluate the performance of the shadow removal network; and finally, performing image shadow removal according to the evaluated shadow removal network. The method is suitable for single image shadow removal.

The invention relates to a shadow-based ground moving target parameter estimation method, device and equipment, and the method comprises the steps: constructing a geometric model of terahertz video SAR (Synthetic Aperture Radar) moving target imaging in a bunching mode, and obtaining an echo mathematical model of a moving target based on the geometric model; after an echo signal obtained by detecting a ground motion scene by a terahertz video radar is expressed based on the echo mathematical model, the distance direction speed of a moving target is estimated through the relative offset of a moving target image and a shadow in the azimuth direction, and the distance direction speed of the moving target is calculated through the frequency broadening of the target image and the shadow in the azimuth direction. And estimating the azimuth direction speed of the moving target, and estimating the distance direction acceleration of the moving target according to the frequency modulation rate of the secondary phase through the compensation of the secondary phase. By adopting the method, accurate target parameter estimation can be obtained.

The invention discloses a shadow region contrast gain method and related equipment. The contrast gain method for the shadow area comprises the following steps: acquiring a shadow center position of the shadow area; obtaining a direction vector of a to-be-gained area according to the position of the to-be-gained area in the shadow area and the shadow center position; obtaining the boundary point position of the shadow area in the direction of the direction vector; and obtaining a gain coefficient of the to-be-gained area according to the boundary point position, the position of the to-be-gained area and the shadow center position. According to the shadow area contrast gain method and the related equipment provided by the embodiment of the invention, adaptive contrast adjustment can be carried out on the shadow area of the shadow scene.

The invention discloses a wooden furniture material quality detection method and system for furniture customization, and relates to the technical field of furniture quality detection.The method comprises the steps that shadow images corresponding to different target detection areas in wooden furniture shot at multiple illumination angles are acquired; based on the shadow change characteristics of the shadow images at different illumination angles, screening out a first shadow region with an abnormal shadow from each shadow image; based on the light and shadow feature difference of each part of shadow in the first shadow area, calculating to obtain the light and shadow matching degree of the target detection area, obtaining height point cloud data corresponding to the first shadow area, and based on the height difference of each data point in the height point cloud data, calculating to obtain the three-dimensional height dispersion of the target detection area; and performing quality evaluation on the wooden furniture based on the three-dimensional height dispersion and the light and shadow matching degree to obtain a quality evaluation result. The technical effect of improving the detection precision is achieved.

The invention discloses an image processing method for improving dazzle light and shadow environments, which comprises the following steps of: adjusting focus offset in real time by adopting a dynamic compensation algorithm, and judging the correctness of a current focusing direction and the suitability of a focusing amplitude by monitoring the change trend of a contrast value and the convergence state of a definition index in a focusing process; analyzing transition features of shadow and non-shadow areas through a shadow edge enhancement algorithm, and dynamically adjusting the direction and amplitude of focus transformation to obtain a real position locking result of a shadow edge; and for the improved edge sharpness distribution parameters, verifying the focus consistency of the whole image by adopting a feature matching algorithm, and obtaining an evaluation result of global focus quality by calculating the definition difference between different regions.

The invention discloses a real-time dynamic light and shadow rendering optimization method based on an unreal engine, and relates to the field of light and shadow rendering, and the method comprises the steps: firstly distributing shadow importance scores for all grid objects in a scene based on a camera view cone and AI context data, and carrying out the priority ranking of potential shadow projectors; and then, performance budget evaluation is carried out in combination with the current frame rate and the GPU load, and intelligent shadow projector selection and LOD application are carried out on the sorted shadow projection object list according to the performance budget evaluation. And finally, the optimized shadows to be rendered are sent to a light visual angle rendering and VSM page filling process in batches, and a movable light source optimization virtual schlieren is generated. According to the method, the unnecessary calculation overhead is remarkably reduced, so that the rendering efficiency and the frame rate stability are greatly improved while the high-quality dynamic light and shadow effect is ensured, and the core problem that the traditional performance and quality are difficult to balance is effectively solved.

The invention relates to the technical field of virtual reality rendering, in particular to a virtual scene rendering method and device, terminal equipment and a medium. The method comprises the following steps: loading a pre-constructed preform assembly; the preform assembly comprises at least one dynamic object and at least one static object in the scene to be rendered; illumination information of all static objects is bound on the prefabricated body assembly; performing shadow rendering on the at least one static object according to the bound illumination information; and performing shadow rendering on the at least one dynamic object by adopting a plane shadow projection algorithm. According to the method, the illumination baking information is directly mounted on the preform assembly, so that the illumination information can be obtained without baking the static object in the scene again, shadow rendering is performed on the dynamic object by adopting the plane shadow projection algorithm, the dynamic object also has real-time illumination, and the scene is more real. Therefore, the dynamic shadow and the baking shadow in the existing virtual scene can be effectively fused, and the playing experience of a low-configuration equipment user is improved.

The invention provides a document image shadow removal method based on a diffusion model, and provides a diffusion model DocShadow for removing a document image shadow, and the diffusion model comprises a shadow soft mask generation module SSGM and a shadow mask perception guide diffusion module SMGDM. The SSGM is used for generating a high-precision shadow mask and adding noise specially for a shadow area, so that shadow removal is more accurate and efficient. The SMGDM is based on the shadow mask obtained from the SSGM and is used for effectively removing the shadow in the document image in the supervised diffusion and denoising process. And a loss function combining shadow robust feature loss and diffusion target loss is utilized to ensure that the model DocShadow can effectively remove the shadow in the image.

The present disclosure relates to systems, methods, and non-transitory computer-readable media that performs shadow removal and harmonizes lighting properties of a foreground with a background. Furthermore, the disclosed systems receive a shadow removal request for an input digital image that includes a foreground object with a shadow occluding at least part of the foreground object. Moreover, the disclosed systems generate a combined embedding from a mask of the foreground object and the input digital image. Further, the disclosed systems generate a modified digital image without the shadow occluding at least part of the foreground object and lighting properties of the foreground object harmonized with lighting properties of a background.

The invention discloses a ground normal vector recovery method for removing shadow interference and a related device, and relates to the technical field of polarization image processing, and the method comprises the steps: obtaining target polarization image data; inputting the target polarization image data into a generator of a dual-stage generative adversarial network model to obtain the target polarization image data after shadow removal; the two-stage generative adversarial network model comprises a shadow detection network model and a shadow removal network model which are connected in sequence; the shadow detection network model comprises a first generator and a first discriminator which are connected in sequence; the shadow removal network model comprises a second generator and a second discriminator which are connected in sequence; according to the target polarization image data after shadow removal, calculating to obtain a ground normal vector; the ground normal vector is used for detecting the ground concave-convex area. According to the method, efficient and accurate shadow removal can be realized, and accurate image data is provided for subsequent ground normal vector calculation and concave-convex region detection.

The invention provides a shadow map generation method and device, electronic equipment and a computer storage medium, and the method comprises the steps: determining an influence value of a light source on an entity for each light source according to the illumination intensity of the light source and the distance between the light source and the entity after obtaining the light source information of each light source; the method comprises the following steps: taking a light source with the maximum influence value on an entity in all light sources as a main light source, then obtaining a depth map of the entity shot by a depth camera at the main light source and a rendering picture of a virtual camera, and then generating a scene depth map under the main light source according to the rendering picture; and finally, generating a first shadow map according to the depth map of the entity and the scene depth map under the main light source. In the actual application process, after the first shadow map is obtained, the first shadow map acts on the output picture of the virtual camera, so that the output virtual scene and the entity are combined more naturally, and the shooting effect is better.

The invention relates to a shadow generation method and device for a three-dimensional model, computer equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring light source information of a virtual light source and observation parameters of a virtual camera; according to the light source information and the observation parameters, a multi-view profile diagram corresponding to the three-dimensional model is generated, and the multi-view profile diagram is used for representing an initial shadow; projecting the multi-view profile diagram to a reference plane according to the light source information and the observation parameters to obtain a hard shadow image corresponding to the three-dimensional model; obtaining shadow features of the three-dimensional model according to the light source information and material attributes of the three-dimensional model; and inputting the hard shadow image and the shadow features into a trained shadow prediction model based on a convolutional neural network, and outputting a soft shadow image corresponding to the three-dimensional model through the shadow prediction model according to the hard shadow image and the shadow features. By adopting the method, the shadow of the three-dimensional model can be quickly generated.

The present technology addresses the need for color-consistent photos and videos by comparing a frame captured under ambient lighting and a frame captured using flash lighting to adjust the frame to appear as if the ambient lighting were substantially removed. Since the ambient lighting is the source of the inconsistent appearance of color, processing the frame to appear as if it were presented under consistent lighting conditions yields a color-consistent frame that can be more useful in the medical context or other contexts where consistent color is more important than ambiance created from ambient lighting. The present technology can also address unwanted shadows as well. Since the present technology adjusts the frame to appear as if the ambient lighting were substantially removed, the source of the lighting causing the shadows is also removed.

The invention discloses a 3D digital human mixed shadow generation method and system, a medium and equipment, and the method comprises the following steps: S1, main shadow generation: carrying out the real-time light tracing of a main light source, and generating a main shadow; s2, secondary shadow generation: generating a secondary shadow for the dynamic scene by using cascade shadow mapping; s3, soft shadow and penumbra processing: generating a soft shadow by using percentage asymptotic filtering or variance shadow mapping; s4, global illumination shadow: calculating the influence of indirect illumination on the main shadow, the secondary shadow and the soft shadow by using a real-time global illumination technology, and generating a global illumination shadow; s5, dynamic shielding processing: detecting the shielding relationship between the digital person and the environment in real time, and adjusting the generation algorithms of the main shadow, the secondary shadow and the soft shadow; s6, model optimization: using a deep learning model to carry out noise reduction or resolution improvement on the shadow; and S7, shadow synthesis: synthesizing the main shadow, the secondary shadow, the soft shadow and the global illumination shadow. The method has the advantages of improving the shadow quality and ensuring the real-time interaction of the shadow.

The invention provides a photovoltaic array dynamic adjustment method based on artificial intelligence shadow detection and prediction. According to the method, a multi-modal data set is formed by collecting photovoltaic array operation and maintenance related data, accurate recognition of a shadow area is achieved through quantization feature enhancement and a dynamic space attention mechanism, shadow boundary coordinates are determined, and the shadow coverage rate is calculated. Further calculating the shadow expansion speed and propagation time according to the shadow boundary coordinates, the solar altitude and the shelter parameters, and predicting the shadow coverage range. Meanwhile, the hot spot risk is quantified through the temperature difference between the shadow area and the non-shadow area and the shadow duration, and graded early warning is triggered. And dynamically adjusting the output voltage of the photovoltaic array based on the shadow coverage rate, and tracking the maximum power point through a particle swarm optimization algorithm. In addition, in combination with a shadow prediction result, the angle of the photovoltaic panel is mechanically adjusted to avoid a shadow area. According to the invention, the power generation efficiency of the photovoltaic array under the shadow shielding condition is improved, and the stability and safety of the system are enhanced.

The invention provides an image shadow removal method and device, equipment, a storage medium and a program product, and relates to the technical field of image processing, and the method comprises the steps: converting a grayscale image into an HSV space, and obtaining an HSV image; detecting a brightness component in the HSV image to determine a shadow region; performing multi-scale Gaussian filtering on the shadow region, and performing CLAHE processing on the filtered shadow region on each scale; and fusing the multi-scale CLAHE processing results to obtain an enhanced image after shadow removal. According to the invention, the brightness and contrast of the shadow area can be improved, the naturalness of the non-shadow area is maintained, and the overall processing effect and visual quality of the image are improved. Meanwhile, shadow areas and non-shadow areas can be effectively distinguished based on brightness component detection in the HSV image, different shadows in different areas can be effectively processed through multi-scale fusion, and a good effect is integrally presented.

A ray (e.g., a traced path of light, etc.) is generated from an originating pixel within a scene being rendered. Additionally, one or more shadow map lookups are performed for the originating pixel to estimate an intersection of the ray with alpha-tested geometry within the scene. A shadow map stores the distance of geometry as seen from the point of view of the light, and alpha-tested geometry includes objects within the scene being rendered that have a determined texture and opacity. Further, the one or more shadow map lookups are performed to determine a visibility value for the pixel (e.g., that identifies whether the originating pixel is in a shadow) and a distance value for the pixel (e.g., that identifies how far the pixel is from the light). Further still, the visibility value and the distance value for the pixel are passed to a denoiser.

The invention relates to the technical field of soil environment protection, in particular to a soil erosion gully depth monitoring method and system based on camera metrology, and the method comprises the steps: analyzing the length of an existing shadow through an orthoimage of a soil erosion gully, and converting the lengths of the existing shadow at different angles to obtain the vertical shadow length of the existing shadow; based on the vertical shadow length of the existing shadow, the change rate of the soil erosion gully is analyzed, and the virtual vertical shadow length of the parallel gully area is obtained; and obtaining the measurement depth of the soil erosion gully according to the vertical shadow length of the existing shadow and the virtual vertical shadow length of the parallel gully area. Through the method and the system, the problem that gully depth detection by utilizing the shadow length fails due to the fact that the soil erosion gully is parallel to the sunlight irradiation direction and cannot form an effective shadow is solved, the effective range of gully depth detection can be improved, and operability is achieved.

The present disclosure provides a shadow rendering method, apparatus, computer equipment and storage medium for a three-dimensional model, wherein the method comprises: determining a shadow body corresponding to a three-dimensional model in a virtual three-dimensional space; the shadow body is used to indicate a projection rendering range of the three-dimensional model when projecting the three-dimensional model onto a projection surface of a preset object in the virtual three-dimensional space; in response to at least one target vertex on the projection surface being located within the area where the shadow body is located, determining a display shadow intensity corresponding to the target vertex based on second position information of the target vertex in the virtual three-dimensional space and first position information corresponding to the shadow body; rendering the projection surface based on the display shadow intensity corresponding to the at least one target vertex to obtain a shadow rendering result of the three-dimensional model on the projection surface.

The invention relates to the technical field of mine lighting, in particular to an intelligent mining intrinsically safe LED lighting lamp strip and a lighting system.The lamp strip comprises an insulation assembly, a plug-in assembly and a lighting assembly, and the system comprises a production judgment module, a light attenuation judgment module, a lighting regulation and control module, a regulation and control detection module, a shadow judgment module and a shadow compensation module; the system predicts a high-dust working condition through vibration analysis and evaluates light attenuation by fusing dust concentration and coal rock absorbance; regulating and controlling the brightness and spectrum of the lamp strip according to the evaluation result; the regulation and control effect is verified through closed-loop detection; identifying a dynamic shadow area based on the equipment pose and the light field distribution; and finally, in combination with the gas concentration safety constraint, performing safety-first local compensation or brightness-first overall brightening on the shadow area. The problems that instantaneous light attenuation caused by cooperation of dust outbreak at the moment of cutting and strong light absorption of a coal wall cannot be effectively handled, and dynamic shielding shadow caused by movement of a huge machine body of mining equipment cannot be effectively handled are solved.

The invention relates to the technical field of agricultural illumination, in particular to an illumination light supplementing method and system for agricultural detection. According to the method, the shadow is used as a valuable information source containing space prior, and the feature representation capability is enhanced through explicit modeling of a shadow detection task. A shadow guide gating fusion mechanism is provided, and the feature weight is dynamically adjusted according to whether the spatial position is in a shadow area or not, so that adaptive enhancement is realized. And the mechanical arm serves as a light source carrier, flexible adjustment of the light supplementing position and intensity is achieved through double fuzzy PID control, and illumination light supplementing is conducted on the shadow part of the target area in the sight line. According to the method, the performance and the robustness of an agricultural visual inspection system are remarkably improved.

The application provides a photovoltaic array dynamic adjustment method based on artificial intelligence shadow detection and prediction. The method forms a multi-modal data set by collecting photovoltaic array operation and maintenance related data, uses quantumized feature enhancement and dynamic spatial attention mechanism to realize accurate identification of shadow area, determines shadow boundary coordinates and calculates shadow coverage. Further, according to the shadow boundary coordinates, the solar elevation angle and the shelter parameter, the shadow expansion speed and the propagation time are calculated, and the shadow coverage range is predicted. At the same time, the risk of hot spot is quantified by the temperature difference between the shadow area and the non-shadow area and the shadow duration, and the graded warning is triggered. Based on the shadow coverage rate, the photovoltaic array output voltage is dynamically adjusted, and the maximum power point is tracked through the particle swarm optimization algorithm. In addition, combined with the shadow prediction result, the angle of the photovoltaic panel is adjusted mechanically to avoid the shadow area. The application improves the power generation efficiency of the photovoltaic array under the condition of shadow shielding, and enhances the stability and safety of the system.

This invention provides a dust concentration detection device and measurement method for underground drilling in coal mines. It includes a hemispherical glass body with an open top, containing a cleaning unit. The cleaning unit includes a vertically arranged annular cleaning frame, the center of which is collinear with the axial centerline of the glass body. A motor support frame is coaxially mounted on the top of the glass body, forming a spherical body with a hollow top. The bottom of the motor support frame is connected to the glass body, and its vertical top is connected to a coaxially mounted sleeve. An explosion-proof motor is also coaxially mounted inside the sleeve, with its output shaft connected to the top of the cleaning frame. The output shaft drives the cleaning frame to rotate around the central axis of the glass body. A point light source is also coaxially mounted on the inner top of the cleaning frame. A shadow sensor is also installed on the outer bottom wall of the glass body. The device of this invention has a fast response speed and can quickly capture instantaneous shadow changes, thereby achieving real-time continuous measurement.

This invention discloses an efficient 2D dynamic soft shadow rendering method and system based on symbolic distance fields, belonging to the field of computer graphics and image processing technology. It includes extracting displacement vectors to determine active occlusions and generating bounding boxes to be updated; downsampling and reconstructing within the bounding boxes and concatenating with an external buffer to generate a low-resolution symbolic distance field; calculating a local original resolution symbolic distance field within the same region; calculating and normalizing the difference matrices of the two types of distance fields to generate a fusion weight matrix; and using the weight matrix to weightedly superimpose the two types of distance fields, performing ray propagation to output shadow textures. This invention uses bounding boxes established based on inter-frame displacement vectors to lock dynamic regions and constructs pixel-by-pixel fusion weights through multi-level resolution distance difference matrices to achieve smooth superposition of heterogeneous field data. This significantly reduces scene reconstruction overhead while eliminating visual seams caused by incremental updates, outputting high-quality and spatiotemporally continuous 2D soft shadow effects.