72 results about "Black edge" patented technology

The invention provides a video monitoring platform adaptive play support optimization method, which comprises the following steps that: a server acquires equipment information and user habits of a terminal, and correspondingly configures a plurality of types of video stream preprocessing strategies; and the server selects a video stream preprocessing strategy based on the prediction operation, and pulls the preprocessed video stream to the corresponding terminal in advance. Wherein when the video picture proportion of the stream pushed by the server is not matched with the picture proportion of the terminal player, the server carries out cutting and scaling on the pushed video stream based on a black edge removing algorithm. According to the method, efficient self-adaptive stream pushing is realized by predicting user habits and combining the preset strategy, on one hand, adaptive coding video streams and code rates can be pushed according to requirements, so that bandwidth occupation is reduced, playing delay is reduced, and terminal types are expanded; and on the other hand, the video stream matched with the picture proportion is pushed by using the black edge removing algorithm in a feedback mode on the server side, so that the effective information of the picture is reserved to the maximum extent, and the playing pressure of the terminal can be reduced.

The invention provides an image processing method, electronic equipment, a readable storage medium and a chip. According to the method, when the N to-be-cut image materials are cut, the picture proportions of the N image materials are all the first picture proportion according to the first picture proportion, black edges can be prevented from appearing in the finally stored processed image materials, and in addition, the image quality is improved. According to the embodiment of the invention, under the condition that main body detection is carried out on an image frame to obtain first position information used for indicating the position of a target main body in the image frame, second position information used for indicating the position of a first cutting frame in the image frame is obtained based on the first position information and a first picture proportion; the image frame is cut according to the second position information, the first image frame is obtained, the first image frame contains the target body due to the fact that the first cut frame contains the target body, it is guaranteed that the finally stored processed image material contains the target body, and the user experience is improved.

The invention relates to the technical field of VR, and provides a cloud game display method and equipment based on VR equipment, which are used for improving the fluency of picture display. According to the method, aiming at the condition that a left-eye image and a right-eye image are independently coded and transmitted, when the decoding frame rate of a first-eye image video in a left-eye image video stream and a right-eye image video stream is smaller than a display frame rate, a cached first target image, a current frame of a normally received second-eye image and a binocular difference are used, and a second target image is obtained; the current frame of the first-eye image is predicted respectively, and the current frame of the first-eye image and the current frame of the second-eye image are displayed synchronously, so that the problem of picture jamming when the transmission of the monocular image is abnormal is solved, and the picture display fluency is improved; meanwhile, the field angle corresponding to the left eye image and the field angle corresponding to the right eye image are larger than the field angle of the VR equipment, so that the image black edge problem is reduced, the resolution ratio of the edge area is lower than that of the center area, the coding data volume is effectively reduced, and the transmission efficiency is improved.

Provided in the present application are a video shake processing method and apparatus, and an electronic device and a computer-readable storage medium. The method comprises: acquiring a video to be processed, and determining a shake compensation matrix for each original image frame in the video to be processed; on the basis of the shake compensation matrix for the original image, performing compensation processing on the original image to obtain a compensated image and vertex information of the compensated image; on the basis of the vertex information, determining a bounding box of the compensated image, wherein two adjacent edges of the bounding box are respectively parallel to two coordinate axes of an image coordinate system of the original image; on the basis of boundary information of the original image and the compensated image, determining an image to be displayed, and on the basis of the bounding box, determining a region to be cropped in the image to be displayed; and on the basis of a corresponding region to be cropped, cropping each image frame to be displayed to obtain a video subjected to anti-shake processing. The present application can improve the flexibility and accuracy of black-border processing in a video anti-shake process.

The embodiment of the invention discloses a screen projection method and device, a terminal and a storage medium, and relates to the technical field of screen projection. Comprising the steps of determining a target adaptive resolution from at least two adaptive resolutions supported by an application program based on an expected resolution of a destination end under the condition that a screen projection demand exists; determining a virtual screen resolution of a virtual screen based on the target adaptive resolution, wherein the aspect ratio of the virtual screen resolution is consistent with the aspect ratio of the target adaptive resolution; based on the virtual screen resolution, the source end coding resolution and the expected resolution, determining a target coding resolution, the source end coding resolution being related to the coding capability of the source end; performing video coding on the application picture by using a coder with a target coding resolution to obtain a screen projection data stream; and transmitting the screen projection data stream to the destination end, so that the destination end performs screen projection display based on the screen projection data stream. According to the scheme, black edges appearing when the target end displays the screen projection picture can be reduced.

The invention discloses a dynamic self-adaptive video black edge real-time detection method based on multistage scanning, and relates to the technical field of image processing, and the method comprises the following specific steps: 1, inputting a video frame, and selecting 28 detection regions in the video frame according to the requirements of four-corner region positioning, edge center region center positioning and cross region positioning; 2, sparse sampling is carried out on the 28 detection areas one by one, whether the detection areas are black areas or not is judged according to sampling results, if yes, the step 3 is executed, and if not, the detection areas are output; 3, preliminarily determining the orientation of the black edge of the video frame and the starting and ending positions of the black edge in the four-edge direction of the video frame; the method supports real-time updating of the position of the black edge, adapts to resolution switching, transverse and vertical screen change and picture cutting, realizes efficient and accurate black edge detection, and updates the detection result in real time. Meanwhile, the method supports a mainstream video format (RGB / YUV), and the false detection rate is lower.

The application discloses a SIFT image splicing method and system based on multi-feature fusion and adaptive optimization, and comprises the following steps: performing data preprocessing on acquired image data to generate a gray image; constructing a scale space by using a SIFT feature extraction method, detecting local extreme points in the gray image to generate a descriptor, and performing SIFT feature matching optimization; performing false matching elimination by using a nearest neighbor ratio criterion and a matching threshold value, and maintaining the distribution balance of feature points in the gray image by using a uniform sampling method; performing random sample consensus estimation by using an adaptive threshold value in a feature matching point set, eliminating outliers, and calculating a homography matrix to realize image registration; and realizing image splicing in an overlapping area based on a weighted fusion strategy, avoiding the abruptness of a joint transition by combining a smoothing weight, and performing black edge trimming to optimize a splicing result. The application can optimize a traditional SIFT image splicing algorithm, and thus the splicing quality of an image can be improved.

The invention discloses an image processing method, electronic equipment and a storage medium, and belongs to the field of image data. The method comprises the steps of loading and displaying videos and pictures in a picture library in response to a first operation of a user; in response to the fact that the user selects the image materials in the image library and confirms to execute cutting operation, the image materials are cut in batches according to the first picture proportion, so that the picture proportion of the image materials is the first picture proportion; wherein the image materials comprise videos and / or pictures; in the process of cutting the image material in batches according to the first picture proportion, after a first image frame sequence in the image material is processed, the first image frame sequence with the first picture proportion obtained through processing is previewed and displayed, and the first image frame sequence is any batch of image frames processed in batches in the image material. In this way, the situation that black edges appear in the processed video can be avoided, and real-time preview of the cutting processing result can be achieved.

The invention discloses a multi-image wide-angle splicing and black edge removing method and system, and the method mainly comprises the steps: carrying out the preprocessing of a plurality of to-be-spliced images, carrying out the optimization processing of the brightness of black pixels in the images, guaranteeing the image quality and integrity of the images in the environments of strong light, weak light and dark light, and improving the image quality. According to the method and the system, the similar feature points in the images are paired by using an ORB feature detection algorithm, the real-time performance of the spliced images is improved, the splicing relationship among the images is determined, the visual consistency of the spliced images is improved, the quality of the spliced images is not damaged in a weak light environment, and the adaptive capacity of the system in different scenes is ensured.

The invention discloses an SIFT image splicing method and system based on multi-feature fusion and adaptive optimization. The method comprises the steps of performing data preprocessing on acquired image data to generate a grayscale image; constructing a scale space by using an SIFT feature extraction method, detecting a local extreme point in the grayscale image to generate a descriptor, and performing SIFT feature matching optimization; carrying out mismatching elimination through a neighbor ratio criterion and a matching threshold value, and maintaining the distribution balance of feature points in the grayscale image in a uniform sampling mode; random sampling consistency estimation is carried out in the feature matching point set by using an adaptive threshold value, outer points are eliminated, a homography matrix is solved, and image registration is realized; and image splicing is realized in the overlapped region based on a weighted fusion strategy, joint transition abrupt is avoided in combination with a smooth weight, and black edge cutting is performed to optimize a splicing result. According to the method, a traditional SIFT image splicing algorithm can be optimized, so that the image splicing quality can be improved.

The utility model discloses a computer protective shell which comprises a frame and a decorative shell, and the frame is arranged in a surrounding mode in the circumferential direction of the decorative shell. A concave connecting step is arranged on the outer side wall of the frame, the connecting step is arranged around the inner edge of the frame, and the edge of the inner side wall of the decorative shell is detachably connected with the connecting step. According to the embodiment of the utility model, the decorative shell is detachably mounted on the outer side of the frame through the concave connecting step arranged on the outer side wall of the frame, so that the outer side edge of the decorative shell cannot be covered by the frame, the decorative shell can be completely displayed, the'black edge 'of the decorative shell is eliminated, and the service life of the decorative shell is prolonged. And the overall visual effect and the aesthetic degree of the computer protection shell can be improved.

The utility model provides electronic equipment. The electronic equipment comprises a display device, an input device and a folding mechanism. The folding mechanism comprises a first staddle, the first staddle comprises a fixed part and a rotating part, and the rotating part is fixedly connected to the fixed part. The display device comprises a display screen and a first shell, the display screen is installed on the first shell, the fixed part of the first staddle is fixedly connected between the first shell and the display screen and is arranged opposite to the display area of the display screen, and the rotating part of the first staddle is rotationally connected with the input device. The electronic equipment further comprises a flexible part, the flexible part is fixed between the fixing part of the first staddle and the first shell, and the hardness of the flexible part is smaller than that of the first shell. Thus, the non-display area of the display device can be reduced, the black edge of the display device is narrow, and the flexible part is used for avoiding appearance marks caused by hard contact between the folding mechanism and the first shell after the fixing position of the folding mechanism is changed.

The present application relates to the technical field of vehicle windows, and particularly relates to a black-edged display vehicle window and a vehicle. The black-edged display vehicle window comprises a glass body (10) and a functional reflecting element (20), wherein the functional reflecting element (20) is arranged in a bottom shaded area (1021) of the glass body (10); a display area and a non-display area are provided in the bottom shaded area (1021); and the display area has a first reflectivity RL1 regarding projected light, and the non-display area has a second reflectivity RL2 regarding visible light, with the ratio of the first reflectivity RL1 to the second reflectivity RL2 satisfying RL1 / RL2≥3. The black-edged display vehicle window provided by the present application can partially or even completely replace conventional instrument panels, allowing the driver to have a better field of view and spend more time observing external conditions; moreover, necessary driver-assistance information can be more easily obtained, thereby significantly improving the driving safety. In addition, by means of using the bottom shaded area (1021) as an image display background, external ambient light can be better blocked, thereby avoiding unnecessary visual interference; and the image display can also be clearer and has a higher contrast and color gamut.

The application relates to the technical field of aerial unmanned planes, and discloses a self-adaptive flight aerial detection unmanned plane with an angle adjusting function, which is applied to an aerial unmanned plane body and comprises an adjusting mechanism, an elongation assembly, a subsidence assembly, an aerial shooting mechanism and a protection mechanism. The adjusting mechanism is installed below the aerial unmanned plane body and is used for adjusting a shooting angle. The adjusting mechanism comprises the elongation assembly and the subsidence assembly. The elongation assembly is installed below the adjusting mechanism and is used for moving a shooting position. The subsidence assembly is installed in the elongation assembly. The aerial shooting mechanism is installed on the subsidence assembly and is used for shooting and detection. The protection mechanism is installed on the adjusting mechanism and is used for protecting the stability of the aerial shooting mechanism during shooting. Through the technical scheme, the gimbal in the prior art has the problems of limitation and dead angle during shooting, is prone to interference with a boom and a foot stand, has black edge shielding and a visual blind area, and influences the shooting progress and shooting quality.

The application discloses a kind of green pass fast detection method and system based on X-ray imaging technology, belong to image processing technical field, obtain the X-ray imaging slice image of current vehicle in a period of time, and all slice images are spliced, obtain X-ray imaging original image;The X-ray imaging original image is vertically flipped, and the positive X-ray imaging original image is obtained;By image processing algorithm, the left and right black edges of the positive X-ray imaging original image are cut, and the vehicle original image is obtained;The upper blank area of the vehicle original image is cut, and the right white edge is cut by image processing algorithm, and the target vehicle image is obtained;Image stretching is carried out to the target vehicle image, and all pixel points in the stretched target vehicle image are clustered by clustering method, and the pixel points in different classes are mapped to different colors, and the pseudo-color image of vehicle is obtained.The high-speed traffic efficiency is improved, and the accuracy of green pass vehicle inspection is improved.

The invention provides an IMU (Inertial Measurement Unit)-based spherical video anti-shake image stabilization method. The method comprises the following steps: S1, obtaining an original video frame; s2, performing low-pass filtering smoothing on the IMU data; s3, calculating a rotation matrix according to the processed IMU data; s4, converting to a spherical surface; s5, cutting the rotated image, then judging whether the cut image has a black edge, and if the cut image does not have the black edge, converting the rotation quaternion into a rotation matrix; if the cut image has a black edge, reducing the rotation quaternion through a gradient descent method, then continuing to judge whether the rotated image has the black edge, if the rotated image still has the black edge, continuing to reduce the rotation quaternion until the black edge does not exist, and finally converting the rotation quaternion into a rotation matrix; s6, rotating the spherical surface; and S7, obtaining an anti-shake image. Distortion correction does not need to be carried out on distorted video frames, meanwhile, internal reference calibration does not need to be carried out on the camera, and a larger field angle can be reserved as much as possible for the video after image stabilization.

The embodiment of the invention provides an image anti-shake method and device based on a gyroscope, equipment and a medium, and belongs to the technical field of image processing, and the method specifically comprises the following steps: carrying out correction operation on gyroscope data according to an original image; obtaining an original motion track of the image capturing device according to the corrected gyroscope data; processing the original motion track according to noise to obtain a corrected image; and judging whether the corrected image meets an output requirement or not according to a preset rule, and adjusting the noise according to a judgment result until the corrected image meeting the output requirement is obtained. According to the scheme of the invention, the black edge detection is introduced to judge whether the corrected image has the black edge, the black edge constraint is triggered, the performance of the Kalman filter is effectively controlled and the black edge of the corrected image is removed only by adjusting the process noise or the measurement noise, and the black edge of the corrected image does not need to be removed by introducing additional post-processing. And a good anti-shake effect is still achieved in a low-illumination scene or a scene with a large-area moving object in a picture.

The application relates to a vehicle front field of view aestheticity checking method, device, equipment and storage medium, the method comprises the following steps: a plurality of reference field of view curves with a preset length are obtained by extending a plurality of position points on a driver's eye ellipse, a front windshield glass black edge curve of the vehicle is taken as a guide curve, the reference field of view curves are combined, a plurality of front field of view visible surfaces on the eye ellipse are generated and superposed, a superposition surface of the front field of view visible surface is obtained, and the superposition surface is processed in a preset processing mode to obtain a front field of view envelope surface, so that the aestheticity of the front field of view is checked to obtain an aestheticity evaluation result. Therefore, the problems that the aestheticity of the front field of view of the vehicle cannot be checked in real time through a systematic checking method, the project development cycle is long, the cost is high and the like are solved, the design scheme is adjusted in time through CAD auxiliary checking, the problems of front field of view deviation or unattractive vehicle parts are avoided, and therefore the product development cycle is shortened and the design change cost is saved.

Embodiments of the present application disclose a screen projection method and device, a terminal device and a computer readable storage medium. The method is applied to a first terminal device, and the method comprises: obtaining a screen projection parameter corresponding to a second terminal device, wherein the screen projection parameter comprises a first resolution corresponding to a screen projection window of the second terminal device and a coding and decoding capability corresponding to the second terminal device; determining a target resolution which is proportional to the first resolution according to the screen projection parameter; and sending video stream data matched with the target resolution to the second terminal device, wherein the video stream data is used to play a screen projection picture in the screen projection window of the second terminal device. The screen projection method, device, terminal device and computer readable storage medium can ensure that the screen projection picture will not appear black edges or picture stretching and distortion when playing in the screen projection window, and improve the screen projection effect.

The invention relates to an image processing method and device, electronic equipment and a storage medium. The image processing method comprises the steps that it is detected that a to-be-processed image contains a highlight area, prompt information is displayed, the prompt information is used for indicating whether a self-adaptive sharpening function is started or not, and the highlight area is an area with the brightness value larger than a preset value; and when it is determined that the adaptive sharpening function is started, sharpening processing is performed on different edges in the to-be-processed image with different sharpening intensities to obtain a processed image, and the edges are the edges of the shooting object in the to-be-processed image. The image processing method performs more targeted processing on different edges in the to-be-processed image in the highlight scene, and can reduce unnatural black edges or white edges generated by sharpening processing while ensuring the sharpening effect and improving the overall definition of the image, thereby improving the image impression and improving the user experience.

According to the display panel and the display device provided by the embodiment of the invention, the compensation unit is arranged in the invalid pixel region, so that the compensation unit can replace the invalid pixel, the area of the transition region of the display panel is prevented from being increased, and the compensation unit is not arranged in the winding region, so that the display effect is improved. The data lines of the winding area can be arranged on all the metal layers for winding, the area of the winding area is reduced, the area of the transition area is further reduced, the area of the black edge between the display area and the hole opening area is reduced, meanwhile, the compensation unit comprises the compensation wires arranged on the second metal layer, and the compensation effect is improved. The projection of the compensation line on the substrate and the projection of the first scanning line on the substrate coincide, so that the voltage drop of the first scanning line in the row where the opening area is located can be compensated, and uneven display is avoided.

The present application discloses an image processing method, system and action camera. Obtain a current image frame and Euler angles corresponding to the current image frame, and obtain an initial constraint range, where the initial constraint range is used to detect whether there are black edges in the image frame; if the Euler angles exceed the initial constraint range, perform detection processing on the current image frame according to the initial constraint range to obtain an image frame detection result; if the image frame detection result indicates that there are black edges in the current image frame, perform adjustment processing on the initial constraint range according to the Euler angles to obtain a constraint limit range, where there are no black edges in the image frame within the constraint limit range; perform image stabilization processing on the current image frame according to the constraint limit range to obtain a stabilized image frame corresponding to the current image frame. In this way, in the present application, while realizing motion compensation for the image frames in the video, it can be ensured that there are no black edges in the finally output image frames, thereby improving the image processing effect.

The invention discloses an HDMI video light synchronization method and device fusing black edge detection and HDR knee point compression, and relates to the technical field of video signal processing and intelligent lighting control. According to the method, black edges and subtitles in a video picture are detected, a mask is generated, and a color selection range is limited, so that samples are concentrated on a main picture; knee point compression parameters are determined in a self-adaptive mode, and the brightness level is kept; colors and brightness are counted according to position weights and distributed to all lamps, a unified frame reference is established, and time sequence calibration is completed; meanwhile, a selectable film watching friendly and stable mechanism is provided, and when the captions or the edges change obviously, color selection is converged, and the change of a near-caption lamp is restrained. The method has the technical effects that a color picking result focuses on a main body, subtitles and black edges do not cause color cast any more, lens switching transition is smooth, and group control switching is consistent; the system can be switched between impression priority and time delay priority according to needs, and the real-time synchronization effect without disturbing watching is achieved.

A dimming device and a dimming structure. The dimming device comprises a first substrate (11), a first adhesive layer (12), a dimming functional layer (13), a second adhesive layer (50) and a second substrate (41) which are sequentially stacked, and further comprises a rubber frame (20) arranged between the first substrate (11) and the second substrate (41) and surrounding the first adhesive layer (12), the dimming functional layer (13) and the second adhesive layer (50). The orders of magnitude of the thermal expansion coefficients of materials of the glue frame (20), the first adhesive layer (12) and the second adhesive layer (50) are all 10-4. The dimming device and the dimming structure can reduce or even avoid interface bubbles at the junction between the rubber frame (20) and the first adhesive layer (12) and the junction between the rubber frame (20) and the second adhesive layer (50), so that the step of printing black edges for masking can be omitted, and the problem of bubbles appearing in a display area is avoided.

The invention discloses a large-area-array image JPEG2000 hardware compression system and method, and solves the problems that the decoding speed is low due to the serial processing characteristic of an upper computer in the existing compression method, and the data receiving efficiency is limited; and selecting different image sub-block sizes leads to different widths of black edges around the recovered large-area-array image, and setting improper image sub-block sizes leads to excessive image black edges around the recovered image. According to the invention, non-decompression splicing processing is adopted, compressed image sub-blocks are cached into a specified area, real-time splicing processing is carried out in a hardware platform, and the spliced image is sent to an upper computer to be decoded and displayed, so that the real-time performance of system data processing can be effectively improved, and meanwhile, large-area-array image segmentation compression and non-decompression splicing processing are carried out, so that the real-time performance of system data processing is improved. And a JPEG2000 rapid compression processing function of a large-area-array image is realized.

The invention discloses electronic equipment, a peripheral device, a terminal system and a state detection method. The electronic equipment comprises a first machine body and an electric connector, the first machine body comprises a first frame and a display screen, the first frame surrounds the outer edge of the display screen, and the extension direction of the first frame is different from that of the display screen. The electric connector is located on the first frame, and the plurality of electrically connected first terminals are exposed out of the first frame, so that the electric connector can be separably butted with the peripheral device. Thus, the external device can be electrically connected with the electric connector in a forward or reverse installation mode, the electric connector is suitable for different application scenes, and the user experience is improved. Meanwhile, the electronic equipment does not need to be internally provided with the external device, the external device does not occupy space, and the requirements of full screen and narrow black edge of the electronic equipment can be met. According to the state detection method, the state of the peripheral device can be detected in real time, corresponding prompt information is provided for a user in time, and the peripheral device is prevented from being lost.

The invention relates to the technical field of image processing, solves the problem that black edges cannot be effectively eliminated after image stabilization processing in the prior art, and provides a black edge processing method, device and equipment after image stabilization based on multi-frame fusion and a medium. The method comprises the following steps: correcting an initial image-stabilized video according to a camera jitter parameter to obtain an intermediate image-stabilized video; determining a black edge area of each image frame according to the intermediate image-stabilized video; performing information fusion extraction according to a plurality of adjacent image frames of one image frame to obtain black edge filling information; and filling the corresponding black edge area with the black edge filling information to obtain a target image-stabilized video. The method is suitable for various video processing application scenes, such as mobile phone video anti-shake, unmanned aerial vehicle aerial photography, monitoring video image stabilization and the like, and the final output quality and viewing experience of the image-stabilized video are improved.

The invention discloses a multi-level optimization method for remote sensing image thumbnail self-generation, and the method comprises the following steps: S1, analyzing remote sensing image metadata, obtaining four-point coordinate information, and obtaining coordinates of a lower left corner and an upper right corner through calculation according to radiation parameters; s2, unifying spatial resolution, and performing zooming processing on the remote sensing image according to specified pixels to obtain target pixels; s3, light common channel correction is carried out; s4, reading remote sensing image waveband data; s5, removing a black edge; and S6, fusing multiple wavebands, and rendering a thumbnail. According to the method, multi-channel remote sensing image data is processed, and a thumbnail generation process is automatically adjusted and optimized so as to adapt to pixel value ranges and multi-channel characteristics of different data sources. The thumbnail can quickly provide an overall view of the image, so that a user is helped to quickly browse and screen large-scale image data, and the loading and processing time is saved.

The invention discloses a black edge detection and removal method and device for a remote sensing image, and a medium. The method comprises the following steps: carrying out strip division preprocessing on the remote sensing image; a multi-index parallel strategy is adopted to count the feature statistical value of each strip; using a bidirectional mutation detection algorithm to compare the characteristic statistical values of the adjacent strips, and obtaining a black edge suspected area; after structure verification is carried out on the suspected black-edge area, multi-scale strip fusion analysis is carried out to locate a black-edge area; and carrying out geometric characteristic constraint on the accurate positioning area, dividing a black edge area and carrying out labeling to generate a structured report. According to the method, various regular and incomplete black edges such as image edge strip-shaped black edges, center strip-shaped black edges and edge plane-shaped black edges can be detected, the defect that most of existing algorithms can only aim at one or two of the black edges is overcome, meanwhile, multi-sensor data adaptation is adopted, the method is suitable for various remote sensing data types, and the method is suitable for large-scale popularization and application. The limitation that a traditional quality inspection system is only suitable for a single sensor source is broken through.

The invention relates to the field of video processing technology and three-dimensional interaction application, in particular to a three-dimensional space video seamless fusion method and system based on dynamic video materials, and the method comprises the steps: preprocessing a video, and outputting original data which can provide decodable frame data and recognizable transparent regions; establishing a three-dimensional model of which the surface is a continuous and non-overlapping topological structure, and standardized UV coordinates for mapping video frame pixels and model surface points; according to the method, compressed frame data in original data are converted through a video decoding link, texture-material dynamic binding is performed based on real-time updating of memory address mapping, and a three-dimensional model and a video are seamlessly fused through Shader rendering. Through standardized preprocessing, precise UV mapping and Shader optimization, the problem of rigid fusion in the prior art is thoroughly solved, the edges of the video and the three-dimensional model are free of sawteeth and black edges, the color and the scene are kept consistent, and the transparent region is uniformly transited.