167 results about "Shadowings" patented technology

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 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 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 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 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 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 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.

This invention provides a method and apparatus for shadow processing. The method includes: acquiring multiple first shadow maps baked under the condition that the angle of the target 3D model relative to the lighting direction monotonically changes for a target 3D model; performing interpolation calculations on the multiple first shadow maps to obtain multiple second shadow maps; merging the multiple first shadow maps and the multiple second shadow maps to obtain a third shadow map; and rendering the target 3D model in combination with the third shadow map. This invention optimizes shadow rendering, avoids the performance overhead of rendering the entire scene at the light source location, and improves the accuracy of shadow rendering.

The application discloses a kind of for promoting image processing method under glare, shadow environment, comprising: using dynamic compensation algorithm to focus point offset amount is adjusted in real time, by monitoring the change trend of contrast value and the convergence state of definition index in focusing process, the correctness of current focusing direction and the suitability of focusing amplitude are judged;The transition characteristics of shadow and non-shadow area are analyzed by shadow edge enhancement algorithm, the direction and amplitude of focus point transformation are dynamically adjusted, and the real position locking result of shadow edge is obtained;For the edge sharpness distribution parameter after promotion, the focus consistency of overall image is verified using feature matching algorithm, and the evaluation result of global focus quality is obtained by calculating the definition difference between different regions.

The invention relates to the field of tower-type solar power generation, and discloses a tower-type photo-thermal mirror field shadow shielding efficiency rapid calculation method, which comprises the following steps: dividing a mirror field into a plurality of square grids according to coordinate data of heliostats, and determining the grid to which each heliostat belongs; for each heliostat, determining a neighbor heliostat of the heliostat; re-dividing the heliostat field into a plurality of square grids, and randomly selecting a heliostat from each grid as a typical heliostat; for each typical heliostat, calculating the shadow shielding proportion generated by the neighbor heliostat, and taking the shadow shielding proportion of the typical heliostat as the shadow shielding proportion of the grid where the typical heliostat is located; and the shadow shielding proportions of all typical heliostats are calculated, so that the shadow shielding efficiency of the whole heliostat field is calculated. According to the method disclosed by the invention, the calculation speed of the shadow shielding efficiency is improved while the calculation precision is ensured, and the balance point of the calculation precision and the calculation speed can be adjusted through different values of the parameters.

The utility model relates to the technical field of photography auxiliary equipment, and particularly discloses a polishing platform convenient for clear photographing, which comprises a rack, a first roller, a second roller and a driving assembly, wherein the first roller and the second roller are rotationally arranged on the rack; the rotating axis of the first roller is parallel to the rotating axis of the second roller, and the rotating axis of the first roller is located obliquely above the rotating axis of the second roller. The coil stock abuts against the peripheries of the first roller and the second roller, the driving assembly drives the two rollers to rotate so as to drive the coil stock to move, and the rack is provided with an arc-shaped material guiding platform used for abutting against the coil stock located between the two rollers and facilitating clear photographing of the photographing equipment. The arc-shaped structure of the arc-shaped material guide platform can effectively optimize the light reflection angle, reduce light reflection and shadows, provide a clear and stable shooting surface for shooting equipment, and remarkably improve the shooting effect. And meanwhile, the driving assembly drives the two rollers to rotate so as to drive the coil stock to move, and continuous shooting of the coil stock can be achieved.

The invention discloses a remote sensing surveying and mapping target automatic identification method and system adopting deep learning and application, and relates to the technical field of remote sensing surveying and mapping identification, and the method comprises the steps: obtaining remote sensing data of a target region including a target mountain range, and carrying out the identification to obtain a sunny side region and sunny side feature information of the target mountain range; obtaining a shadow region adjacent to the sunny side region, extracting the scale of the shadow region, and predicting and obtaining the scale of the predicted shadow region according to the time information and the sunny side feature information; according to the shadow region scale and the predicted shadow region scale, calculating to obtain a shadow region error coefficient, configuring a shadow feature recognition resource for feature recognition, and obtaining shadow feature information; and performing matching degree analysis on the dark side feature information and the sunny side feature information, calculating to obtain an identification reference coefficient in combination with the shadow region error coefficient, and identifying the sunny side feature information and the dark side feature information as an identification result. The technical problem of poor remote sensing surveying and mapping recognition accuracy in the prior art is solved.

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.

1. The name of the design product: the bottom of ceiling lamp. 2. The use of the design product: the whole is used for lighting, and the local design is the bottom of ceiling lamp. 3. The design points of the design product: in shape. 4. The picture or photo that can best show the design points: design 1 perspective view. 5. Design 1 is designated as the basic design. 6. Other circumstances that need to be explained: the dotted line does not constitute part of the claimed design. The gray shadow represents the outline, which is not a surface pattern or a color itself.

The invention discloses an image shadow removing method and device for generating an image shadow based on a GAN model, a storage medium and a program product. Two-stage models are adopted, the first-stage model is a shadow generation model, the second-stage model is an image shadow removal model, the shadow generation model adopts a GAN model architecture, and shadows very similar to real shadows are generated by using the GAN model, so that image pairs with shadows and without shadows can be prepared on a large scale; the technical route of removing the image shadow by adopting a deep learning method is implemented and developed, and many defects caused by removing the shadow by adopting a traditional image processing method are avoided.

An automated lighting system for operating rooms that aims and focuses light into a work area while eliminating shadows. Mounted to a boom system, akin to traditional operating room lights, or a specially made frame, adjustments to the lighting can be made conveniently, with little or no manual adjustment of the lights. The disclosed automated lighting system allows a surgeon to easily define a target region with some type of user interface, then lights automatically adjust based on the surgeon defined target region to illuminate the target region.

The application discloses a remote sensing image shadow index performance evaluation method based on multiple scenes and multiple criteria, so as to evaluate the performance of different shadow indexes in urban and mountain scenes. The method comprises the following steps: data preparation, shadow extraction, sample selection, multiple criteria evaluation and comprehensive scoring. In the multiple criteria evaluation process, the shadow extraction accuracy evaluation is for the urban and mountain scenes; the separability of the shadow and the easily confused ground objects is for the urban scene, and is quantitatively evaluated by a 1.5 interquartile range (1.5IQR) separation ratio; the sensitivity of the shadow to the light intensity is for the mountain scene, and is quantitatively evaluated by the correlation between the shadow index and the cosine value of the solar incident angle (cosi). The method disclosed by the application can avoid the problems of single scene and single criterion in the traditional evaluation method, the evaluation result is intuitive and reliable, and the method has important scientific significance for objectively analyzing and evaluating the performance of the shadow index.

The invention provides a fan tower corrosion defect identification method and device based on image processing, and relates to the technical field of fan tower defect identification, and the method comprises the following steps: a shadow processing step: converting an input fan tower image with a shadow into a non-shadow image by using a GAN (Generative Adversarial Network); performing edge feature extraction on the shadow-free image output in the shadow processing step to obtain an edge feature map; inputting the edge feature map into a convolutional neural network (CNN) for feature extraction and classification, and outputting an identification result of the corrosion defect of the fan tower; the generative adversarial network (GAN) comprises a generator, which is used for executing shadow detection and shadow removal and comprises a shadow detection module used for outputting a shadow probability confidence map and an encoder based on negative residual learning; and the discriminator is used for evaluating the authenticity of the shadow-free image output by the generator by adopting a spectrum normalization method. According to the invention, the identification accuracy of the corrosion defect of the fan tower can be improved.