699results about How to "Improve visual effects" patented technology

The invention relates to the technical field of coordinate conversion, in particular to a CAD and BIM model coordinate automatic conversion method and system based on coordinate mapping, and the method comprises the following steps: extracting CAD building two-dimensional coordinates input by reference to a building drawing, constructing an initial two-dimensional triangular mesh, extracting key geometric feature points of a building, and combining the floor height parameter and corner information of the building to obtain a CAD and BIM model coordinate automatic conversion model; and mapping the two-dimensional grid to a three-dimensional coordinate space to generate initial building three-dimensional point cloud data. According to the method, a high-quality initial triangular mesh is constructed through a Delaunay triangulation algorithm, coordinate information of a sparse position is accurately captured, a Poisson surface reconstruction technology is combined, global curved surface fitting and smoothing processing are performed on point clouds of a sparse region, and density compensation and precision improvement of coordinate point distribution are realized. According to the optimization mode, the problem of model precision loss is effectively relieved in complex scenes such as building corners, special-shaped spaces and floor height changes.

The invention discloses a de-noising diffusion model driven texture enhanced infrared and visible light image fusion method and system, and relates to the technical field of image processing and computer vision. The method comprises the following steps: performing multi-scale space-time modeling on infrared and visible light images; enhancing high-frequency texture features of the infrared image through an edge detection convolutional network; based on a bidirectional multi-scale convolution module and a bidirectional attention fusion module, capturing a remote dependency relationship and encoding multi-scale information to ensure full utilization of global information and accurate capture of local details; and optimizing the structural fidelity and color intensity distribution of the fusion result based on an adaptive structural similarity loss function and multi-channel intensity and texture loss so as to improve the quality of the fused image. According to the method, the process of diffusion feature extraction is enhanced by fusing the de-noising diffusion model and the texture enhancement strategy. Meanwhile, a bidirectional multi-scale convolution technology and an attention mechanism are combined, so that comprehensive utilization of global information and accurate mastering of local details are ensured.

The invention discloses an image-text retrieval method based on comparative learning and modal fusion. The method comprises the following steps: giving an original image-text pair; the method comprises the following steps of: 1, respectively carrying out local coding and global coding on an input image based on a target detection model and a deep residual network, and coding an input text based on a pre-training language model; 2, generating more matched image-text pairs (positive sample pairs) and mismatched image-text pairs (negative sample pairs) by adopting a diversified data augmentation strategy; 3, establishing cross-modal hierarchical semantic fusion of the image and the text, and bridging a semantic gap between a visual mode and a language mode; 4, measuring the semantic similarity degree between the image and the text; and 5, based on positive and negative sample pairs generated by data augmentation, carrying out model training through comparative learning. The method solves the problem that an existing image-text retrieval method is insensitive to fine granularity difference between modes.

The invention provides a diffusion model LoRA fine tuning optimization method and system based on CLIP loss and perception loss, and the method comprises the steps: 1, dynamically adjusting the weights of the CLIP loss and the perception loss in combination with the CLIP loss and the perception loss in a LoRA fine tuning process; 2, calculating the semantic similarity between the denoised intermediate image and the target text by using a CLIP model, and optimizing the noise prediction capability of a diffusion model according to the similarity difference; step 3, calculating the difference between the intermediate image and the target image in the feature space by using perception loss, optimizing the noise prediction capability of the diffusion model, and improving the visual quality and detail fidelity of the generated image; and step 4, adjusting whether to start CLIP loss and perception loss or not according to the training progress. By introducing the CLIP loss, the model can better align the image and the text in the fine tuning training process, so that the generated image better conforms to the description of the text prompt.

The invention discloses a cross-domain face anti-counterfeiting detection method and device based on multi-modal text enhancement, and relates to the technical field of network information security, and the method comprises the steps: inputting two types of description texts into a pre-trained text encoder, and extracting text type features representing reality / deception, inputting the image into a pre-trained visual encoder to extract visual features; a trainable text prompt is added to each layer of the text encoder, a trainable visual prompt is added to each layer of the visual encoder, and the visual prompt of each layer of the visual encoder is obtained by converting the text prompt of the current layer through a full connection layer; and embedding the PFT module and the TIM module into a middle layer of each layer of a text encoder and a visual encoder to realize feature interaction fusion, obtaining cosine similarity and masks between text category features and visual features, and performing face true and false classification. Based on the PFT module and the TIM module, modal feature interaction is completed in the feature extraction process at the same time, and the cross-domain detection performance is improved.

The invention relates to the technical field of image data processing, in particular to a carton printing defect detection method and system based on visual identification, and the method comprises the steps: obtaining a carton image through an image collection device, calculating the gray feature quantity of a pixel point based on the gray value of each pixel point in the image and the gray difference in the neighborhood of the pixel point, and calculating the gray feature quantity of the pixel point; the gray scale is used for reflecting gray scale change conditions of local areas; the change degree of the pixel points is calculated based on the gray feature quantity, the change degree represents the clutter degree of the pixel points, and a change degree co-occurrence matrix is constructed to describe the joint distribution characteristic between different change degrees. Calculating the defect degree of each pixel point according to the change degree co-occurrence matrix; the defect degree of each pixel point is calculated, and the pixel points with the defect degrees larger than a set threshold value are responded to be defective pixel points. The problem that the accuracy of carton printing defect detection is not high is solved.

The invention relates to the field of image enhancement, in particular to an image enhancement method and system of a vehicle-mounted image sensor. The method comprises the following steps: acquiring driving record images of a vehicle at multiple angles; dynamic scene self-adaptive exposure adjustment is carried out on the driving record images of the vehicle at the multiple angles, so that multiple self-adaptive exposure driving images are obtained; carrying out deep network noise identification on the plurality of adaptive exposure driving images, and carrying out dynamic filtering and noise reduction on sub-images one by one so as to generate a plurality of filtering and noise reduction optimized images; carrying out image texture analysis on the plurality of exposure sub-images, and carrying out texture distortion reconstruction to construct a plurality of texture reconstruction images; and road object visual identification is carried out on the plurality of texture reconstruction images, and adaptive contrast enhancement processing is carried out, so that a plurality of detail contrast enhancement images are constructed. According to the invention, a high-definition and stable panoramic vehicle-mounted image is realized.

The invention relates to the field of animation rendering, and provides an intelligent rendering method for realizing an animation picture, which comprises the following steps of: firstly, collecting an initial animation picture, identifying a scene of the initial animation picture, analyzing an animation effect demand, carrying out picture analysis in combination with style characteristics to obtain a scene picture element, and detecting an element type to determine a special effect demand degree; a special effect rendering scheme is generated; an adaptive color mode is queried; visual atmosphere parameters are evaluated to calculate a color adjustment amount; a color optimization strategy is constructed; and determining a rendering target based on the special effect rendering scheme, the color optimization strategy and the visual angle adjustment plan, optimizing a picture to obtain a record, monitoring the rendering quality, and finally generating an intelligent rendering scheme. According to the invention, the efficiency and quality of animation picture rendering can be improved.

The invention provides an image enhancement optimization method based on multi-strategy improved sparrow search. The method comprises the following steps: performing normalization processing on a gray value of each pixel point of an original image; initializing a sparrow population and parameters according to an elite chaos reverse learning strategy; the method comprises the following steps: preprocessing an input image by adopting a dual gamma function BiGA; calculating the value of the evaluation function; updating the optimal fitness value of the sparrow population; when an iteration stop condition is not met, updating the position of the sparrow population by adopting a probabilistic following strategy, a self-adaptive local search strategy and a Cauchy Gaussian mutation strategy, and updating parameters of a dual gamma function BiGA; otherwise, ending iteration, and calculating an optimal parameter; processing the image, and outputting an enhanced image; according to the method, the visual effect of the image can be improved, edge details and textures can be richer, and the enhanced image can have higher contrast and better definition. The method is best in overall enhancement effect, and the obtained image is better in quality.

The invention discloses a design scheme generation method based on an information retrieval technology, and belongs to the field of information retrieval and image-text generation. Collecting the text description and an image matched with the content of the text description, preprocessing the text description and the image respectively, and performing feature extraction processing to obtain extracted visual feature monk and semantic features: extracting the visual features in the image data; for character description data matched with the image, processing the character image by using a semantic segmentation network so as to identify and segment a character region, extracting uniformly distributed semantic feature points through a quadtree distribution algorithm, and integrating the semantic feature points of all the regions to form a complete semantic feature point set corresponding to the image data including characters; a multi-scale feature map is constructed by using a feature pyramid network, the extracted visual features and semantic features are mapped to a unified feature space in the multi-scale feature map, and it is ensured that key information of the respective features is reserved in the mapping process.

The invention provides an image restoration method and system based on dynamic decomposition and fusion, and the method comprises the steps: decomposing a to-be-restored image with hybrid features according to a degradation mode, and extracting degradation features of which the number is the same as the type number of the degradation mode; respectively processing each degradation feature to obtain a recovery feature corresponding to each degradation mode; and the recovery features are dynamically fused to obtain a clear recovery image with the same size as the to-be-recovered image, so that the function of performing high-quality recovery on the complex hybrid image is realized. According to the method, the recovery feature map is decomposed, processed and fused under multiple scales, the recovery feature map fusing the recovery features of the multiple scales is obtained, and the visual effect of hybrid image recovery is improved. According to the method, the symmetric U-shaped network is constructed based on the corresponding model formed by the method, and the processing sub-module corresponding to the degradation mode is constructed, so that complex and diversified degraded images in a real environment are well dealt with, and an efficient and reliable solution is provided for the field of image restoration.

The invention relates to a monocular vision tower span measurement method based on RTK correction, and belongs to the technical field of space distance measurement. Comprising the following steps: acquiring ambient light intensity and quality in real time based on an environment where a power transmission and distribution tower is located, and obtaining ambient light adaptation parameters by analyzing ambient light data and adjusting ISO sensitivity and shutter speed of a camera. According to the method, real-time environment light data analysis and camera parameter automatic adjustment are introduced in the monocular vision tower span measurement process, the image quality is effectively improved, tower recognition is more accurate, background interference is reduced, the geographic position and the shooting angle of a shooting point are corrected through the RTK technology, and the measurement accuracy is improved. And perspective transformation correction is carried out on the image in cooperation with a perspective projection theory, and the accuracy of distance measurement data is improved to centimeter level.

The utility model provides a detergent putting device and clothes processing equipment. The detergent feeding device comprises a liquid outlet waterway, a first waterway, a second waterway and a turbulent flow structure. The liquid outlet waterway is provided with a water inlet end and a water outlet end; the first waterway and the second waterway are used for conveying fluid, the first waterway communicates with a water source and the water inlet end of the liquid outlet waterway, and the second waterway communicates with the water source and the water inlet end of the liquid outlet waterway; fluid in the first water path and fluid in the second water path converge in the liquid outlet water path, and the fluid in the first water path is a detergent mixed solution; the turbulent flow structure is arranged on the first water path or the second water path and used for providing circumferential velocity components for fluid in the first water path or the second water path. According to the detergent putting device and the clothes treatment equipment, the detergent, especially the powdery detergent, is put into the clothes treatment cavity after being fully dissolved, the dissolution degree and the cleaning effect of the detergent are improved, and the user experience is improved.

The invention discloses an adjusting and mounting system for a hyperbolic single curved arc-shaped suspended ceiling and a construction method thereof.The adjusting and mounting system comprises a roof main steel structure, a transfer layer structure and a hyperbolic suspended ceiling, and the transfer layer structure comprises a hanging steel frame, a forward adjusting main keel, a hanging auxiliary keel, a keel posture adjusting assembly and a suspended ceiling hanging adjusting assembly; the two ends of the adjacent keel sections and the bottom ends of the hanging rods are adjustably connected through the keel posture adjusting assemblies, the suspended ceiling hanging adjusting assemblies are longitudinally arranged corresponding to the hanging secondary keels, the suspended ceiling hanging adjusting assemblies are transversely arranged corresponding to the suspended ceiling plate sections, and the tops of the suspended ceiling hanging adjusting assemblies are connected to the corresponding hanging secondary keels in a buckled mode. According to the method, the equal-plate unequal-joint mode is adopted, the width of the suspended ceiling plate is a fixed value, the hyperboloid is adjusted by controlling the posture of the suspended ceiling plate and the width of the plate joint, variable cross-section welding machining does not need to be conducted on the arc-shaped suspended ceiling plate, the overall hyperboloid curvature of the arc-shaped hyperboloid suspended ceiling is guaranteed, batch production is conducted on the plate, and the construction quality is guaranteed.

The invention provides a method and a device for simulating a video medium by a multi-mode medium in dubbing and a readable storage medium thereof. In the dubbing field, a traditional video medium has the problems of high cost, poor flexibility and the like. According to the method, multi-mode media such as audios, pictures and texts are dynamically loaded during program running, and the video effect is simulated through specific steps. The method comprises the following steps of: initializing an item, configuring resources, requesting and analyzing data, loading a UI (User Interface) control, synchronizing the data and the control, adding an interactive operation and an extended function, and finally releasing the resources. The technology effectively reduces the cost, realizes resource sharing, improves the operation efficiency and flexibility, has cross-platform compatibility, has important practical value in dubbing and other multimedia application scenes, and can bring more efficient and convenient experience to users.

The embodiment of the invention discloses a high-precision three-dimensional surface reconstruction method and device based on polarization information enhancement. A specific embodiment of the method comprises the following steps: acquiring multi-view polarization images by using a polarization camera to obtain a polarization image set; performing structured light initialization processing on the target image to generate initialized target image information; inversely projecting the accurate depth information set into a three-dimensional space to obtain enhanced Gaussian point cloud data; gaussian point cloud de-reflection processing is carried out on the initialized target image information to generate de-reflection Gaussian point cloud data; generating Gaussian point cloud data based on the enhanced Gaussian point cloud data and the de-reflected Gaussian point cloud data; and performing data optimization and reconstruction processing on the Gaussian point cloud data to generate a three-dimensional triangular patch. According to the embodiment, the precision and efficiency of three-dimensional surface reconstruction can be improved.

The invention discloses a zero-sample image super-resolution reconstruction method and system based on a dense Unet diffusion model. The zero-sample image super-resolution reconstruction method comprises the steps that the trained dense Unet diffusion model is adopted to carry out zero-sample image super-resolution reconstruction; the dense Unet diffusion model is obtained by introducing a dense Unet network structure in a forward diffusion process of a diffusion model without classifier guidance; according to the dense Unet network structure, on the basis of a Unet network structure, two DRB modules are additionally arranged in each layer of encoder and each layer of decoder; each DRB module comprises a time step coding layer, a label coding layer, a dense residual block and a time label direct embedding standardization layer; the dense residual block comprises four convolution layers and a parameter correction linear unit; the feature maps are densely connected; and the time label direct embedding standardization layer is used for firstly embedding a time sequence coding feature from the time step coding layer and then summing the time sequence coding feature with a label coding feature from the label coding layer so as to directly embed information into the dense residual block.

The invention relates to the technical field of single cell data processing, in particular to a database visualization method based on single cells. The method comprises the following steps: acquiring a single cell data set; standardizing the single cell data set to obtain standardized single cell data; performing high-dimensional feature extraction on the standardized single-cell data to obtain single-cell high-dimensional feature data; and performing nonlinear dimension reduction processing on the single-cell high-dimensional feature data to obtain single-cell dimension reduction data. Performing data clustering on the single cell dimension reduction data to obtain single cell clustering data; performing gene differential expression extraction on the single cell clustering data to obtain differential expression gene data; multi-modal data fusion analysis is carried out on single cell data through a data processing technology, a feature mapping technology and a visualization technology; and dynamic weight division is carried out on the single cell database, so that the effect of visualization of the single cell database is enhanced.

The invention discloses a low-illumination image enhancement algorithm based on deep convolution, which is suitable for the field of image processing, and the core of the algorithm lies in an efficient noise reduction process and accurate decomposition of an illumination image and a reflection image. Comprising the following steps that firstly, a channel noise reduction module works cooperatively through multiple noise reduction strategies, noise in an image is effectively removed, and a foundation is laid for follow-up processing; then, the illumination image decomposition network and the reflection image decomposition network accurately separate the brightness information, texture and color information of the image based on a deep learning structure. And finally, by ingeniously fusing the illumination image and the reflection image, reconstructing a high-quality enhanced image, remarkably improving the brightness, contrast and details of the image, and meanwhile, retaining the natural color of the image. The algorithm has the advantages of being high in noise reduction capacity, accurate in illumination image decomposition, efficient in reflection image decomposition, good in enhancement effect and the like, and an effective and practical solution is provided for image enhancement under the low-illumination condition.

The invention discloses a two-stage potential diffusion model underwater image enhancement method based on a frequency domain. The method comprises the following steps: inputting a degraded image and ambient light estimated according to the degraded image into a lightweight underwater image enhancement model to obtain a preliminary recovery image; inputting the preliminary recovery image into a high and low frequency feature pyramid encoder to obtain a potential spatial feature map set and an intermediate feature map set, and inputting the potential spatial feature map set and the intermediate feature map set into a high and low frequency prior extraction module to obtain high and low frequency images and high and low frequency image prior; inputting the low-frequency guidance priori and the potential spatial feature map set of the low-frequency image into a low-frequency guidance condition module to generate a priori guidance condition, and sending the priori guidance condition into a potential diffusion model to obtain a reconstructed potential spatial feature map set; and inputting the reconstructed potential spatial feature map set, the intermediate feature map set and the high and low frequency images into a high and low frequency feature pyramid decoder in prior to obtain an enhanced image. And improving the performance of the potential diffusion model and recovering a high-quality underwater image by using high and low frequency information priori knowledge of the underwater image.

The invention discloses a medicine packaging box pattern printing defect detection method, and relates to the technical field of printing quality detection, and the main scheme is as follows: collecting to-be-detected printing data and standard printing packaging box template data, and then calculating a character deviation index, a pattern position coordinate index and a to-be-detected color index according to the data; wherein the character deviation index is obtained by the pixel and format similarity index of the character area; the pattern position coordinate index is calculated based on the standard position coordinate system number and the data to be measured; a color index to be detected is calculated by a deviation color coefficient and the like, then text, position and color index thresholds are set, whether a text area, a pattern position and a pattern color are qualified or not is judged by comparing each index with a corresponding threshold, the printing defect is judged to exist as long as one of the indexes is unqualified, and the method can effectively detect the printing defect.

The invention discloses a high-resolution angular displacement absolute measurement method and device based on color coding imaging, belongs to the technical field of photoelectric angular displacement measurement, and aims to solve the problems in the prior art. A stepping motor of the device is connected with the center of the back of a circular coded disc, and a bearing of the stepping motor rotates to drive the circular coded disc to rotate; the laser light source and the high-speed CCD camera are placed right in front of the circular coded disc, and the high-speed CCD camera, the stepping motor and the center of the circular coded disc are coaxially placed and are connected with the PC terminal; laser emitted by the laser light source is vertically incident on a coded disc outer ring RGB color block on the front surface of the circular coded disc to form a laser circular light spot as a target detection point; when the stepping motor rotates, the high-speed CCD camera shoots the circular coded disc in real time to obtain a coded disc image signal with a target detection point; and the high-speed CCD camera shoots and stores the image signal in real time and uploads the image signal to the PC terminal for specific demodulation of rotation angle information. The device and the measurement method thereof have the measurement advantages of higher precision and high resolution.

The invention relates to an exterior mirror system and method for fluorescence imaging, and relates to the technical field of image processing, the system can detect fluorescence under a white light operation condition in a tumor excision process, and imaging in a dark or dim operating room is not needed; white light in the fluorescent light is separated, so that a clear fluorescent light image is presented; in addition, fluorescence images can be displayed in a 3D mode, and development is more visual. According to the invention, the technical problems of dark fluorescence image, poor definition and complicated operation in the developing process in the prior art are solved.

The invention relates to the technical field of cool fabric preparation, in particular to a waterproof and sun-proof twill tatting superfine cool fabric and a preparation process, the waterproof and sun-proof twill tatting superfine cool fabric is composed of a warp and weft twill tatting blank, a waterproof coating covering the blank, and a cool finishing agent sprayed and shaped on the surface of the waterproof coating; through coating of the waterproof agent and the cross-linking agent and special drying treatment, the fabric has excellent waterproof performance, and water permeation is effectively blocked; in the preparation process of the fabric, sun protection is provided through padding treatment, and the passing rate of ultraviolet rays is reduced; the twill tatting structure is combined with specific drying, baking and calendaring treatment, so that the structural stability and wear resistance of the fabric are enhanced, and the air permeability of the fabric is ensured while the waterproof effect of the fabric is not influenced; due to the use of the cool-feeling finishing agent and the fine shaping treatment, the soft and comfortable hand feeling of the fabric is ensured, and the fabric can have a good temperature adjusting effect.

The invention relates to a parameter adjustment method and device, electronic equipment and a storage medium. The parameter adjustment method comprises the following steps: determining a target parameter and / or a current display interface of the display equipment; determining an adjustment scene according to the type of the target parameter and / or the current display interface; determining a target adjustment mode according to the adjustment scene; and adjusting display parameters of the display equipment according to the target adjustment mode. According to the embodiment of the invention, by determining the target parameter and / or the current display interface of the display equipment, the adjustment scene and the target adjustment mode are determined, and the display parameter of the display equipment is adjusted according to the target adjustment mode. Therefore, according to the type of the target parameter and / or the current display interface, the target adjustment mode conforming to the adjustment scene can be determined, and the parameter adjustment requirements in different scenes are met.

The present invention discloses a method for dynamic simulation of flood inundation of digital twins of small and medium-sized watersheds based on UE5. It includes the following steps: step one: construct a two-dimensional hydrodynamic numerical model; step two: create a flood inundation simulation UE5 plug-in project; step three: create a flood role class; step four: construct a method for drawing triangular mesh primitives of flood models; step five: construct a method for rendering flood hydrological characteristics and flood flow patterns; step six: realize the dynamic simulation process of digital twin flood inundation. The present invention realizes the dynamic rendering and high-fidelity visualization of large-scale flood models in the three-dimensional scenes of digital twins of small and medium-sized watersheds, expresses the multi-dimensional flood inundation numerical simulation results such as water level, water depth, flow velocity, flow direction, as well as complex flood flow patterns such as backflow, convergent flow, bifurcated flow, floodplain flow, turbulence, etc., improves the authenticity and accuracy of flood inundation simulation, and is conducive to enhancing the decision-making support capabilities of flood risk assessment and flood control plans in small and medium-sized watersheds.

The invention discloses an anti-shake method for an image transmission video of an unmanned aerial vehicle. The anti-shake method comprises the following steps: step 1, data acquisition; step 2, multi-frame optical flow analysis; step 3, feature extraction and jitter judgment; step 4, generating a jitter-free frame by the generative adversarial network; and step 5, post-treatment and synthesis. And step 6, performing real-time feedback and optimization. Through combination of multi-frame optical flow analysis and deep learning feature extraction, different types of jitters can be accurately identified. The accurate jitter judgment not only improves the reliability of detection, but also provides an important basis for subsequent processing, so that the video quality can be effectively guaranteed in practical application no matter in a complex environment or in a rapid movement condition, and the scheme can remarkably improve the video quality on the premise of keeping details and definition. The visual effect of the image is further enhanced through subsequent color correction and sharpening processing, so that the finally output video is smooth and has higher watching value.

The invention discloses a video translation method and a related device, and relates to the technical field of video processing, and the method comprises the steps: obtaining a to-be-translated original video, carrying out the voice synthesis through the voiceprint features and emotion labels of a speaker in the original video, and obtaining the voice data of a target language, the method comprises the following steps: acquiring a target language, replacing original voice data in an original video with the voice data of the target language to obtain an initial translated video, performing speaker mouth area image synthesis by using the voice data of the target language to obtain a synthesized image of the speaker mouth area, and finally fusing the synthesized image of the speaker mouth area with the initial translated video to obtain a speaker mouth area image. And obtaining a final translated video. According to the scheme, the original sound of the video can be restored as much as possible, the speaking state of a character in the original video can be fitted as much as possible, and natural transition of a lip picture before and after the lip picture is lost or appears in the final translated video can be ensured, so that the auditory sense and visual sense of a user can be improved.

The invention relates to the technical field of picture rendering, in particular to a media picture rendering optimization method and system based on artificial intelligence. The method comprises the following steps: acquiring a terminal video stream; performing RGB format conversion on the terminal video stream to generate an RGB type frame image set; pixel partitioning is carried out on the RGB type frame image set, and RGB pixel matrix blocks are generated; performing color space acceleration conversion on the RGB pixel matrix block to generate a YUV cache data matrix; the YUV storage data matrix is sent to a DSP internal processing unit for key frame selection, and YUV key video frame data and YUV non-key video frame data are obtained; and performing intra-frame coding on the YUV key video frame data so as to generate YUV key frame coded data. According to the method, the media picture rendering efficiency is improved by optimizing data processing, transmission and rendering and combining user visual focus analysis.

The invention discloses an intelligent light source regulation and control system and method based on AI relighting, and belongs to the technical field of light source regulation and control, and the method comprises the following steps: 1, carrying out the three-dimensional reconstruction of a site through employing a three-dimensional reconstruction technology, and outputting a three-dimensional environment model; 2, matching the light source parameters with the AI re-lighting model; step 3, simulating a character polishing effect by the AI re-polishing model; 4, judging whether light source setting is completed or not, if not, executing the step 5, and if yes, executing the step 7; 5, detecting and feeding back space coordinates and spectral data; step 6, light source control adjustment and registration; step 7, event setting and light source matching; 8, scene figure detection and registration; step 9, registering light source switching and camera switching events; and 10, judging whether event matching is completed or not. The system can achieve the effects of intelligent dimming, cost reduction, high-precision matching, automatic control and the like, and is suitable for application scenes of studios or stage plays.