91 results about "Superimposition" patented technology

Provided is a day-ahead electricity price prediction method based on a parallel multi-dimensional attention mechanism, which method belongs to the technical field of day-ahead electricity price prediction in a power market. The maximum mutual information coefficient is used to select variables having a certain relevance with an electricity price, so as to assist in predicting future electricity price data; next, a decomposition algorithm is used to decompose an original electricity price signal; and then, electricity price sub-components obtained by means of decomposition and the electricity-price-related variables are inputted into an MBI-IPMDA-PBISA deep learning model, so as to predict a future electricity price. In this way, an MBI-IPMDA-PBISA deep learning model can fully learn a complex association relationship between electricity price sub-components and electricity-price-related variables and a future electricity price, the problem of error superimposition caused by separately predicting the electricity price sub-components and then superimposing same to obtain the future electricity price is also avoided, and the problem of the accuracy of existing attention mechanisms during prediction being low is solved, thereby improving the prediction accuracy.

The invention discloses a method for generating a staggered superposition double-layer Airy light beam array capable of realizing double focusing, and belongs to the technical field of structured light regulation and control and special light beam generation. Aiming at the problems that the focusing characteristics of light beam arrays in transmission in different superposition modes are difficult to fully reveal in the prior art and the generation of an optical bottle depends on complex phase modulation or multiple optical elements, the method comprises the following steps: constructing a first layer of Airy light beam array and setting regulation and control parameters, constructing a second layer of Airy light beam array with staggered azimuth angles and setting regulation and control parameters, and constructing a second layer of Airy light beam array with staggered azimuth angles; a longitudinal double-focusing structure is realized through staggered superposition of double-layer Airy light beam arrays, and a vortex phase is introduced into double-focusing array light beams to form an optical bottle structure. According to the invention, the structure is simple, the longitudinal double-focusing and optical bottle structure can be realized only through the initial light field structure design, the focusing intensity and the regulation freedom degree are high, and the application of the light beam in the related fields of microscopic imaging, particle capture and the like is expanded.

Embodiments of the present application provide a layer synthesis method and device, electronic equipment and storage medium, the method comprising: obtaining a second layer, a blank layer and a plurality of first layers, the second layer being a layer that has undergone specific processing, the level of the second layer being between the levels of the plurality of first layers, the level of the blank layer being the same as the level of the second layer, and the color value of the pixel points in the blank layer being a preset value; performing synthesis processing on the plurality of first layers and the blank layer to obtain a first synthesis layer; and performing superimposition processing on the first synthesis layer and the second layer to obtain a second synthesis layer. When specific processing is required for an intermediate layer, a plurality of layers can be synthesized.

This invention discloses a video tag dynamic overlay anti-shake method and system based on AR, comprising: acquiring real-time video stream and device pose parameters at corresponding timestamps; constructing a dynamic perspective projection model based on the device pose parameters and calculating the initial pixel coordinates of the target AR tag in the current video frame; planning a local feature search window based on the initial pixel coordinates; calculating the average pixel displacement vector of image feature points in the local feature search window of the current and adjacent historical video frames; performing reverse displacement compensation on the average pixel displacement vector to obtain the target rendering coordinates, and rendering the target AR tag to the current video frame based on the target rendering coordinates. Compared with the prior art, this invention can overcome the shortcomings of large drift errors caused by simply relying on mechanical pose, high computational power consumption caused by global matching, and high-frequency jitter of tags caused by slight device vibrations, thereby improving tag mapping accuracy, reducing system computational power consumption, and improving the visual stability of video overlay.

The embodiment of the invention provides a code coverage rate file superposition method and system, and relates to the technical field of software test.The method comprises the steps that an initial code version is tested for the first time to generate a full coverage rate file; testing the new code version updated each time to generate an incremental coverage rate file; wherein the byte quantity of the incremental coverage rate file is smaller than the byte quantity of the full coverage rate file; and carrying out file superposition on the full coverage rate file and the incremental coverage rate file generated by each update test to generate a complete coverage rate file. Through the embodiment of the invention, the problems of long time consumption and large occupied storage space in the superposition process of the code coverage rate file in the related technology are at least solved, and the effect of reducing the time consumption and the occupied storage space in the superposition process of the code coverage rate file is further realized.

An object of a system according to an embodiment is to accurately recognize a posture during training and provide guidance in real time.SOLUTION: A system includes a posture recognition unit, a difference calculation unit, an instruction unit, a superimposition unit, a motivation improvement unit, a moving image generation unit, and a nutrition value analysis unit. The posture recognition unit recognizes a posture during training using an image recognition technique on a moving image captured by a camera of a smartphone. The difference calculation unit calculates a difference between the posture recognized by the posture recognition unit and the video of the trainer. The instructor instructs the posture in a natural language in real time on the basis of the difference calculated by the difference calculator. The superimposition unit superimposes the posture of the user on the moving image of the trainer. The motivation improving unit provides a cheering message in a natural language. The moving image generation unit automatically generates an optimal training moving image. The nutrition value analysis unit analyzes the photograph of the meal to analyze the nutrition value.SELECTED DRAWING: Figure 1

Method for adjusting process parameters for a process for manufacturing electronic assemblies by means of automated manufacturing on a production line (100), comprising the method (A) Performing a correlation procedure to correlate different data sets that are assigned to one and the same printed circuit board (470) on which an electronic assembly with several electronic components is built up by means of automated manufacturing, the correlation procedure comprising Providing a first data set from a first machine (110), wherein the first data set is assigned to the first machine (110), controls an operation of the first machine (110) and features: first position information and first characteristic information about characteristic target properties of a product characteristic structure of the printed circuit board (470) at several positions of the printed circuit board (470); Providing a second data set from a second machine (160), wherein the second data set is assigned to the second machine (160), controls an operation of the second machine (160) and features: second position information and second characteristic information about characteristic target properties of the product characteristic structure of the printed circuit board (470) at the multiple positions of the printed circuit board (470); geometric superimposition of the first position information with the second position information; Repositioning the first position information and / or the second position information such that the totality of distances between each pair of associated position information, i.e., a first position information and an associated second position information, from each of the same locations on the printed circuit board (470), is reduced; and Providing a third data set from a third machine (130), wherein the third data set is assigned to the third machine (130), controls an operation of the third machine (130) and has third position information and third characteristic information about characteristic target properties of the product characteristic structure of the printed circuit board (470) at the multiple positions of the printed circuit board (470); wherein the geometric overlay further comprises a geometric overlay of the third position information with the first position information and / or the second position information; and wherein the repositioning further comprises repositioning the third position information such that an entirety of the sum of the three distances between each set of three mutually associated position information, i.e. the sum of (i) a first distance between the first position information and the associated second position information, (ii) a second distance between the associated second position information and a third position information which is associated with the first position information and the second position information, and (iii) a third distance between the third position information and the first position information, from each of the same location on the printed circuit board (470), is reduced; wherein the first machine is a first processing machine (110) and the first data record contains a first process data record; wherein the second machine is a first inspection machine (160) and the second data set contains a first inspection data set; wherein the third machine is a second processing machine (130) and the third data set contains a second process data set; and wherein the method for adjusting process parameters further comprises (B) Determine, using the first inspection machine (160), a first deviation between an actual property and a target property of the product characteristic structure in a first area of ​​the printed circuit board (470), which is assigned to a first location on a surface of the printed circuit board (470); (C) Creating a first combination data set (375) based on (i) at least one first part of each of the first process data set, the second process data set and the first inspection data set, wherein the first part is assigned to the first area of ​​the printed circuit board (470) and further based on (ii) the repositioned first position information and / or the repositioned second position information and / or the repositioned third position information; and (D) Adjusting first process parameters of the first processing machine (110) and / or second process parameters of the second processing machine (130) based on the created first combination data set (375) and the determined first deviation.

An information processing apparatus that makes it possible to see information in an easily understandable manner when this information is superimposed onto a video image has at least one memory and at least one processor. The at least one memory and the at least one processor are configured to extract a region of a human in an image; superimpose predetermined superimposition information onto the image; determine whether or not the human is performing a predetermined action, and to output determination results; extract a region of the predetermined information that overlaps with the region of the human as an overlapping region based on the determination results, the region of the human, and the predetermined information; and change a transparency of at least a portion of the predetermined information such that the transparency increases according to the overlapping region.

The application discloses an infrared defect detection method and system based on thermal-optical flow space-time correction learning and a terminal, belongs to the technical field of nondestructive testing, and comprises the following steps: acquiring thermal diffusion characteristic information maps and position characteristic information maps of defect regions; multi-level deep fusion decoding processing: directly superimposing the thermal diffusion characteristic information maps and the position characteristic information maps according to pixel point positions to obtain a first fusion feature map; superimposing the first fusion feature map with the thermal diffusion characteristic information maps and the position characteristic information maps respectively; taking the feature maps obtained by the two times of superimposition as inputs of the next level decoding; repeating the decoding processing steps to obtain final defect fusion information. The fusion processing can guide and correct the thermal diffusion information and the position information of the defects, so as to ensure the defect detection detection rate. Meanwhile, the feature information related to the defects is reserved and highlighted through the feature information map superimposition operation, the contrast of the defect regions is improved, and the defect detection accuracy is improved.

The utility model relates to printing equipment technical field discloses a cam phase difference superposition compensation mechanism of multicolor printing machine, including printing frame, the top of printing frame is installed with correction mechanism, the bottom fixed connection of printing frame has the supporting plate, the outer wall of supporting plate is installed with tension adjusting mechanism, the correction mechanism includes sealing box no.

The invention discloses a biometric feature recognition and virtual-real information superposition system for wearable equipment, and the system comprises a biometric feature recognition module which carries out the preprocessing and feature extraction of biometric feature data; the virtual and real information superposition module is used for receiving the verification result of the biological feature recognition module and retrieving associated virtual information from a database according to the verification result; the processing module is used for coordinating the operation of the biological feature recognition module and the virtual and real information superposition module; the display module is used for outputting the superposed virtual-real fusion information; and the sensor module is used for collecting environment data. According to the system, biological feature recognition and virtual and real information superposition are deeply fused through modular design, the real-time performance and accuracy of the system are remarkably improved, the biological feature recognition module can efficiently collect and verify user features, the virtual and real information superposition module intelligently generates and superposes virtual information according to the recognition result, personalized AR interaction is achieved, and the user experience is improved. And user experience is improved.

System (1) for playing an augmented reality (AR) game, comprising an image capture unit (5) for capturing images of a player's (4) environment, a data processing unit (2) for calculating the computer game including its AR content as a superimposition of the captured images with virtual content (6), and data glasses (3) for displaying the calculated AR content, characterized in that the system (1) also includes at least one trampoline (7) which can be used by the player (4) wearing the data glasses (3) for the purpose of and during playing the AR game, so that the changes in position resulting from its use, accompanied by a change in the visual impressions of the player (4), can be detected by means of the image capture unit (5), superimposed with virtual content (6) by the data processing unit (2), and reproduced by means of the data glasses (3).

The invention discloses an optical index testing method and device, wearable display equipment and a storage medium, and the method comprises the steps: carrying out the shooting of a test graphic card at different visual angles, and obtaining at least two to-be-spliced images; aligning the images to be spliced to form an overlapping region; the image gradual change direction of each repeated image in the overlapping area is determined, and the image gradual change direction is the direction from the to-be-spliced image side from which the repeated image comes to the other adjacent to-be-spliced image side; the pixel values of the corresponding repeated images are gradually reduced in the overlapping area according to the image gradual change direction, the pixel values of the repeated images are overlapped, a spliced image is generated, and the overlapped pixel values of the repeated images in the overlapping area are consistent with the pixel values of the to-be-spliced images; the optical index is tested according to the spliced image, so that an obvious boundary trace is prevented from appearing at the splicing line of the overlapped region, and the accuracy of the optical index test is effectively improved.

The embodiments of the present application relate to the field of terminal devices. Provided are a wallpaper setting method, and a terminal device and a storage medium. The method comprises: in response to a tap operation for a wallpaper synthesis control, displaying a wallpaper preview interface; in response to a tap operation for a wallpaper selection control, displaying a first option and a second option; in response to a selection operation for the first option, determining a first image; performing subject extraction on the first image to obtain a target subject image, and displaying the target subject image on the wallpaper preview interface; in response to a selection operation for the second option, determining a second image; on the basis of the target subject image, determining a superimposition region in the second image; generating a target image on the basis of the target subject image and the superimposition region, and displaying the target image; and in response to a tap operation for a wallpaper application control, setting the target image to be a wallpaper. In the embodiments of the present application, during the generation of a wallpaper, the number of instances of human-machine interaction is increased, thereby improving the sense of participation of a user.

The present disclosure provides a full-duplex digital self-interference clear method, including: before a signal is transmitted with a peer device in a full-duplex mode, performing a calculation by a self-adaptive algorithm to obtain a pre-distortion processing coefficient; under the condition that the signal is transmitted with the peer device in the full-duplex mode, performing pre-distortion processing on a first signal sent by the transmit link to the peer device according to the pre-distortion processing coefficient to obtain a second reconstructed interference signal; and performing self-interference clear according to the second reconstructed interference signal and a second interference signal of the receive link, with the second interference signal being a signal obtained through superimposition of an interference signal generated by the first signal in the receive link and a second signal received by the receive link from the peer device. The present disclosure further provides a full-duplex digital self-interference clear apparatus.

This image processing device (1P) has a host vehicle position information superimposition unit (12AP) that outputs host vehicle position superimposition image data (114) in which a positional relationship reference for a large language model unit (13P) to perform explanation is superimposed on vehicle travel image data (111) captured by a vehicle-mounted camera (99). The host vehicle position information superimposition unit (12AP) outputs host vehicle position superimposition image data (114) on the basis of camera attachment position data (11BP) or vehicle travel control data (11CP). The camera attachment position data (11BP) includes information indicating a horizontal deviation of an attachment position or information indicating a horizontal angle deviation of the attachment position.

The application discloses a low-signal-to-noise-ratio infrared dim and weak target detection method and relates to the technical field of image processing. The method comprises the following steps: continuously acquiring an infrared dim and weak target image sequence, setting a target motion feature set, estimating the position of the target in each frame according to the target motion feature set, superimposing the obtained multiple frames of images according to the motion feature set, processing the image group obtained through superimposition to obtain a candidate target saliency map, segmenting the saliency map to extract the candidate target, assigning a uniform motion feature attribute to the obtained candidate target pixels, assigning a gray value from the corresponding image group according to the uniform feature attribute, assigning the mean value of the image group in the pixel direction to the remaining pixels, completing the accurate information enhancement of the target, and detecting and outputting the enhanced image by using a spatial domain detection algorithm. The method can realize the detection of multiple low-signal-to-noise-ratio dim and weak targets and improves the discovery capability of an infrared detection system on a long-distance target.

The application discloses a real-time image superimposition method and system for augmented reality surgery navigation, relates to the technical field of monitoring analysis, and comprises the following steps: performing coordinate comparison on a physical contact coordinate and an anatomical feature site in a virtual anatomical model, obtaining a spatial deviation vector, correcting a global coordinate transformation matrix according to the spatial deviation vector, calculating a feeding speed according to a real-time spatial displacement vector, calculating a predicted residual penetration distance in combination with a change gradient of a spectrum entropy density, superimposing and displaying a virtual anatomical model and a virtual model of a surgical power head according to the corrected global coordinate transformation matrix, generating a predicted precursor model along a feeding direction according to the predicted residual penetration distance, calculating an intersection space of the predicted precursor model and a dangerous anatomical structure in the virtual anatomical model, changing a display color value of the predicted precursor model according to the intersection space when the intersection space exists, and performing transparent rendering on a virtual anatomical model region corresponding to the intersection space. The application has the effect of improving image superimposition efficiency.

The embodiment of the invention provides a voice processing method and device in a game, electronic equipment and a storage medium. The method comprises the following steps: determining the priority of each voice in a game scene; determining an audio processing scheme of each voice based on the priority, and processing each voice according to the audio processing scheme; the audio processing scheme comprises the following steps: performing differentiation processing on each voice played in a stacked manner; or, differentiated truncation processing is carried out on the currently played voice. For the voice needing to be played in a stacked mode, the technical means of spatial distribution processing, spectrum adjustment processing, stacked playing edging processing and the like are adopted, and the differentiated stacked playing effect of the voice is achieved. For the voice needing to be truncated, different strategies of delaying to a proper switching position for truncation or performing instant truncation according to phoneme category characteristics are adopted according to different truncation event types. According to the differentiated voice processing method, the problems of disordered voice stack playing and unnatural voice truncation in the traditional technology are solved, and the immersion of the game and the information transmission efficiency are improved.

A control device, a control method, and a control program are provided that can suppress the sense of incongruity that occurs when a guide route image is superimposed and displayed. [Solution] The system includes an external environment information acquisition unit 55 that acquires external environment information of a vehicle 10 towing a trailer 60, and a display control unit 56 that displays a guided route image 71 showing a guided route for at least one of the vehicle 10 and the trailer 60 superimposed on a peripheral image 5 of the vehicle 10 based on the external environment information. The display control unit 56 differentiates the superimposition of the guided route image 71 between a first range 62 of the peripheral image 5 in which the trailer 60 is displayed and a second range 63 of the peripheral image 5 excluding the first range 62.

A method for evaluation of a thin-layer chromatography plate after performing a separation process that separates components of a sample on the thin-layer chromatography plate comprises a digitization step, wherein at least two digital images are taken that differ with respect to the wavelength range of illumination of the thin-layer chromatography plate. The method further comprises a position identification step wherein the position of the thin-layer chromatography plate is identified for each of the at least two digital images. Furthermore, the method comprises an evaluation step wherein an image information of the at least two digital images is superimposed for at least all regions with at least one visible spot within at least one of the at least two digital images, so that the superimposition of image information from identical regions of at least two digital images can be used for evaluation of the thin-layer chromatography.

The embodiment of the invention discloses an image processing and rendering system and method based on a pod upper computer. According to the embodiment of the invention, compressed video frames can be read from a real-time video stream according to a frame sequence, and decoding and pixel format conversion processing are carried out on the compressed video frames to obtain a video image conforming to a preset image format; storing the video images into an image ready queue; sequentially taking out the to-be-processed images from the image ready queue, and obtaining target pod state data synchronized with the to-be-processed images in time; to-be-superimposed characters and character superimposition style parameters configured by a user for the to-be-processed image are obtained, and the to-be-superimposed characters are generated based on the target pod state data and / or user-defined content; drawing the to-be-superimposed characters on the to-be-processed image according to the character superimposition style parameters to generate a superimposed image; and rendering and displaying the superposed image. Therefore, according to the embodiment of the invention, real-time fusion of the user-defined content and the pod state data is realized, and highly flexible character superposition is supported.

The application provides an AR video fusion superimposition method and system for ultra-low delay, which comprises the following steps: obtaining a display refresh event and a picture submission timestamp, calculating a next refresh time and calculating a remaining available time interval, and generating display synchronization constraint information; dynamically screening a synchronizable superimposition information set based on a remaining budget and an estimated execution time of virtual information; analyzing anchor points to generate geometric data, aggregating resources to a texture atlas, and calculating fusion weights combined with parameters such as urgency and stability; finally, the virtual and real scene pixels are weighted and fused by using a pixel shader, and the display is submitted. Through accurate control of the time window and intelligent screening of the content, the end-to-end delay is effectively reduced, the picture lag and trailing are avoided, the priority presentation of key information is ensured, and the smoothness, real-time performance and hardware energy efficiency of AR display are significantly improved.

A biological information measuring apparatus includes: an initial setting section which causes a first image obtained by the photographing section photographing a living body and a first figure indicating a position within the first image to be superimposition-displayed on the display section, and corrects the position based on a first instruction input to the input section to move the position to a first position of a feature point included in the first image, and obtains a corrected position; a measurement preparation section which causes a second image obtained by the photographing section photographing the living body and a second figure indicating the corrected position to be superimposition-displayed on the display section, and causes the living body to align a second position of the feature point included in the second image with the corrected position; and a measurement section which measures biological information of the living body from a third image obtained by the photographing section photographing the living body in response to a signal indicating that the second position and the corrected position have been aligned being input.

To provide a better recycling method for advertisements and other creative materials. [Solution] According to one aspect of the present invention, there is provided an information processing system comprising at least one processor, the processor being configured to execute the following steps by reading a program: a first reception step receiving a design of a product and superimposition conditions for superimposing a pattern image on the design; a first generation step generating a pattern image according to the superimposition conditions, the pattern image being a regularly arranged pattern image that includes portions of the design that are visible and portions of the design that are invisible when superimposed on the design according to the arrangement of the elements; a display control step displaying a superimposed image in which the pattern image is superimposed on the design on a display screen, the superimposed image being an image in which at least a portion of the design is visible when superimposed on the design.

The application discloses a kind of climbing sightseeing point excavation methods in urban and rural landscape environment, comprising the following steps: extracting settlement boundary and water system boundary in settlement remote sensing image, calculating settlement geometric center in settlement boundary;The settlement geometric center is mapped to DEM data, the walking time matrix of each grid of DEM is calculated with settlement center as starting point, and the reachable domain is obtained according to the set walking time threshold t0;The visual field of each grid point is calculated within the scope of reachable domain, and finally the climbing sightseeing point is obtained by sorting and superimposition processing of each grid visual field.The method intelligently excavates the landscape sightseeing point in urban and rural landscape environment by means of remote sensing image, DEM data, and topographic analysis means, and has good universality for different types of settlement landscape site selection with simple parameter setting and convenient use.

The application provides a method for superimposing an endoscope video on an OSD menu, an ARM processor is used for OSD menu image interface design, an OSD menu image is compressed through a compression algorithm and then transmitted to an FPGA through a communication interface, the FPGA end receives interface data using the same communication interface as the ARM processor, and uses ping-pong operation to cache OSD interface data, and the OSD menu data read in the cache is decompressed using a decompression algorithm and then superimposed on an endoscope video stream, so that the problem that the prior art cannot be compatible, has low difficulty, high real-time performance and meets complex interface requirements is solved.

The invention relates to a method for displaying additional information in an image of an area (34) of a motor vehicle (10), which contains image content represented by pixels on a display surface of a display device (16) of the motor vehicle (10), wherein the additional information is displayed as a superimposition over the image content. The image content is classified at the pixel level, with each pixel of the image being assigned to a predetermined object class. A pixel value is then assigned to each pixel depending on the object class, and the pixel values ​​are stored. This is followed by determining the pixel values ​​of the pixels within an image area to be superimposed with the additional information, and superimposing the additional information only over those pixels whose pixel values ​​lie within a predetermined pixel value range.

The invention provides a video generation method, a video generation device, electronic equipment and a storage medium, and belongs to the technical field of video generation. The method comprises the following steps: acquiring superposition parameter values corresponding to a plurality of pieces of input video data to be subjected to superposition processing; wherein the superposition parameter values are determined according to superposition types corresponding to the multiple pieces of input video data; according to the superposition parameter value, determining a superposition coefficient corresponding to each pixel point in the plurality of input video data; and according to the superposition coefficient, performing superposition processing on the data of each pixel point in the plurality of pieces of input video data to obtain output video data corresponding to the superposition type. According to the embodiment of the invention, the input video data can be flexibly superposed according to the superposition requirement, and the flexibility of video superposition processing is improved.

The application relates to the technical field of computers and discloses an ultrasonic imaging method and device, computer equipment and a storage medium, which comprise the following steps: acquiring a plurality of frames of ultrasonic images to be synthesized; performing image compounding operation on the plurality of frames of ultrasonic images to acquire a composite image, a plurality of superimposed areas in the composite image and a superimposition number corresponding to each superimposed area; determining a frame correlation coefficient corresponding to a second superimposed area according to a first superimposition number corresponding to a first superimposed area, a frame correlation coefficient corresponding to the first superimposed area and a second superimposition number corresponding to the second superimposed area; and performing image synthesis operation on the composite image and a next frame of the composite image to be synthesized by using the frame correlation coefficient corresponding to each superimposed area to acquire a target ultrasonic image. The application can guarantee the consistency of the whole composite image and improve the imaging quality.