63results about How to "Meet the visual effect" patented technology

The invention discloses a method for generating a panoramic video. The method comprises the following steps of: converting an image of each frame of a picked video into a longitude and latitude image through a latitude and longitude mapping coordinate, seaming into a panoramic image through optical clipping, and then carrying out video coding and generating the panoramic video according to time. By converting the image into the longitude and latitude image through a spherical coordinate and the latitude and longitude mapping coordinate, the invention accords with visual features of human eyes, the generated panoramic video is convenient for people to see the upward panoramic video and the panoramic video with 360 degrees of horizontal sweeping, increases the vision range of the panoramic video and accords with the vision effect of the human eyes.

The embodiment of the invention provides an automatic exposure control method. The method comprises the following steps: obtaining a brightness value and a current exposure parameter of a current video frame image; calculating a current illumination value; determining a current expected brightness value according to a pre-tested corresponding relation between the illumination value and the expected brightness value. In addition, the expected brightness value can be further adjusted according to the pixel brightness histogram of the image. Therefore, the exposure parameters are in a dynamic adjustment state all the time, the brightness of the image shot by using the dynamically adjusted exposure parameters can timely meet the human eye visual effect, and the quality of the shot image can beimproved.

The invention relates to a zone-boundary-based optimization way-finding method being applied to logic visual programming. The method comprises the following steps: calculating the optimal point pair between a starting point and a terminal point, taking the optimal point as the way-finding point, and determining the way-finding path; if no reachable path is found, taking a barrier salient point on the zone boundary between the starting point and the terminal point as the way-finding point, dividing the way-finding process into two parts: the starting point to the way-finding point, and the way-finding point to the starting point, wherein selecting the path with minimum inflection degree for the way-finding point to the starting point part as the optimal path, updating the way-finding point as the starting point to repeat the way-finding process for the starting point to the way-finding point part; and finishing the process until finding the reachable path or achieving the set maximum path inflection degree. The zone-boundary-based optimization way-finding method being applied to logic visual programming can maximumly guarantee that the way-finding path is concentrated at the middle position in the way-finding zone, thus according with the visual demand of people, and can greatly reduce the space searching scope for way finding and improve the way-finding speed. Besides, the path inflection degree can be limited according to the practical situation, so that the requirement for a true environment can be satisfied and the path complexity can be reduced.

The purpose of the invention is to provide a method and a device for configuring a dynamic display effect of a virtual keyboard. The method comprises the steps of acquiring one or more initial elements to be configured; determining display regions, corresponding to the virtual keyboard, of the initial elements; determining movement loci corresponding to the initial elements to configure the dynamic display effect of the virtual keyboard. Compared with the prior art, the method and the device for configuring the dynamic display effect of the virtual keyboard are capable of flexibly configuring the dynamic effect for the virtual keyboard, and are good in expansibility, meanwhile the visual effect and the input experience of a user are improved and the individualized requirement of the user is satisfied.

The embodiment of the present invention provides an image data processing method. The method comprises the steps of subjecting a noise image matrix to total variation so as to obtain a first de-noised image matrix; according to the first de-noised image matrix and the noise image matrix, acquiring a residual image matrix; subjecting the residual image matrix to adaptive wiener filtering so as to obtain a filtered residual image matrix; subjecting the first de-noised image matrix, the filtered residual image matrix and a weight vector to secondary de-noising treatment according to a first preset rule so as to obtain a second de-noised image matrix. The above method fully utilizes the prior information of an image. In this way, the noise is removed, while the edge and the details of the image are better retained at the same time. A high signal-to-noise ratio is obtained, while the structural similarity is also kept at a high level at the same time. Therefore, the visual effect of people can be fully met.

The invention discloses a light field display device and a display method thereof. A system control element is used for making an image rendering element render a display image according to a set timesequence based on three-dimensional position information obtained by a sight tracking element so that a display image conforms to a visual effect of a human eye focusing plane, and is used for makinga focal length adjusting element adjust a focal length according to the set time sequence. Total duration of the set time sequence corresponding to each display period is less than refreshing time ofhuman eyes. A display element is used for emitting light carrying the image information of the rendered display image. The focal length adjusting element is used for emitting the light emitted by thedisplay element to a projection lens. The projection lens is used for projecting the light emitted by the focal length adjusting element to an optical element. And the optical element is used for emitting the light projected by the projection lens to the human eyes. Through focusing adjustment of a plurality of imaging surfaces within a certain depth range, a natural 3D image is presented, and eye fatigue and dizziness caused by long-term watching of the human eyes are avoided.

The invention relates to the technical field of image enhancement, in particular to a self-adaptive image enhancement method, which comprises the following steps of S1, converting an original image tobe processed into an HSV color space from RGB, and decomposing the HSV color space into H, S and V components; s2, performing single-scale decomposition on the V component to obtain low-frequency component information and high-frequency component information of the V component of the image; s3, performing enhancement processing on the low-frequency component in the step S2, and then performing adaptive correction; s4, performing fuzzy enhancement on the high-frequency component in the step S2; s5, carrying out wavelet reconstruction on the low-frequency component and the high-frequency component after enhancement processing in the step S3 and the step S4 to obtain an enhanced brightness V component; s6, converting the HSV image back to the RGB color space; and S7, performing color restoration in the RGB space. According to the method, color distortion is avoided, the contrast and detail information of the image are improved, the visual effect of people is better met, and the method has self-adaptability.

The invention discloses a shield tunnel surface image calibration method, a splicing method and a splicing system, and belongs to the field of tunnel detection. The method is characterized in that itis guaranteed that the optical axis of each camera is perpendicular to the surface of a tunnel, and the field angle of each camera is at least equal to (alphs-sigma(n-1)) / n; the calibration paper is pasted in an overlapped area of each view field range on the surface of the tunnel, so that each overlapped area comprises a plurality of candidate saddle points to be calibrated; each camera collectsa tunnel surface image at the same time; the candidate to-be-calibrated saddle points which are shot at the same time and have the best quality are found out as the to-be-calibrated saddle points of the adjacent cameras; and the coordinate information of each to-be-calibrated saddle point of each tunnel surface image is calcluated. According to the present invention, the saddle point of the view field overlapping area is selected as the calibration point, only one high-quality image needs to be shot, the operation is easy, and the method is suitable for the tunnel environment. The curved planeof the tunnel is unfolded into a plane through the mapping relation between the distorted image and the plane image, the splicing under the same coordinate system is achieved, the cost is lower, thetime is short, and the visual effect is better met.

The present invention provides a gradient domain-based single image defogging method which belongs to the image defogging technology field, and solves the problems that a conventional gradient domain defogging method is low in execution efficiency, a result map is darker, the color distorts, etc. The gradient domain-based single image defogging method comprises the steps of firstly converting a fog-degraded image into the gradient domain, and obtaining a plurality of gradient domain enhanced images by enhancing the gradient domain image at different scales; then, constructing a brightness characteristic-based gradient stretching function according to a weber law, and applying the function at different scales to correct the gradient domain enhanced images; and finally, adopting a weighted fusion algorithm with the color recovery factors to fuse the reconstructed images to obtain a finally defogged image. The gradient domain-based single image defogging method of the present invention enables the definition and the color fidelity of the fog-degraded image to be improved effectively, and by being compared with the conventional gradient domain defogging method, enables the execution efficiency to be improved.

The invention provides a recognition technology-based electronic transaction authenticating system comprising an electronic transaction authenticating system and an object recognition device connected with the electronic transaction authenticating system. The object recognition device is used for recognizing and tracking an object based on visual features. The object recognition device comprises a suspected object obtaining module, a color information processing module, a contour information processing module and a feature evaluation module that are all orderly connected; the color information processing module is used for subjecting an original frame image to RGB color space-to-HSV color space conversion operation and building a tone and color model of the suspected object in the HSV color space; the contour information processing module is used for dividing an actual contour of the original frame image into two types of zones: feature zones and non-feature zones, neighboring zones of the same type are combined, and filters of different parameters are chosen to subject the combined feature zones and combined non-feature zones to smoothing operation. The recognition technology-based electronic transaction authenticating system is advantaged by high recognizing precision and high recognizing speed.

The invention provides an improved shadow detection method based on a c3 space image, three aspects of aerial image enhancement, multilateral weighted smooth denoising and edge detection are improved, contrast enhancement is carried out on the c3 space image by adopting logarithmic transformation, and the pixel value range of a low-gray region is greatly expanded so as to improve the accuracy of extraction of a shadow pixel in a shadow region; de-noising processing is carried out on the image by adopting multilateral weighted filtering, and image edge details can be kept while image noise is removed; based on a Canny operator, a diagonal direction is increased to improve a gradient amplitude calculation method, a critical domain is determined by adopting adaptive double-critical domain selection, and finally edge detection is performed by adopting the double-critical domain; experiments prove that the shadow area can be successfully detected, interference of ground objects such as roofs and roads on detection results can be effectively weakened, and compared with an original algorithm before improvement, the shadow detection accuracy is obviously improved.

The invention discloses an image restoration method based on a multi-scale content attention mechanism, a storage medium and a terminal. The method comprises the following steps: inputting a to-be-restored image into a trained image restoration network for image restoration, wherein the image restoration network comprises an edge detection module, an edge generative adversarial network and a content generative adversarial network which are connected in sequence, the edge generative adversarial network comprises an edge generator G1, and the content generative adversarial network comprises a content generator G2, each of the edge generator G1 and the content generator G2 comprises a plurality of convolution layers, a plurality of residual blocks and a plurality of deconvolution layers, and a multi-scale content attention module is arranged between the deconvolution layers. According to the method, the features of the known patches are used as a convolution filter to process the pre-generated patches, and the consistency of the basic features and the overall style of the incomplete generation area and the surrounding background area is achieved through the multi-scale patches.

The invention discloses a sample block image restoration method based on a layered guide strategy, and the method comprises the steps: carrying out the Gaussian pyramid decomposition of a to-be-restored original image; obtaining decomposed images with different resolutions at a plurality of layers; carrying out the layer-by-layer restoration of the decomposed images according to a sequence from the top layer to the bottom layer; carrying out the restoration of the top decomposed image based on a sample block image restoration method, and obtaining a top layer image restoration result; carrying out the up-sampling of the top layer image restoration result, enabling the top layer image restoration result to be merged with a second layer decomposed image, enabling the information of a to-be-filled region in the merging result to serve as guide information, and storing the second decomposed image; repeatedly carrying out the above process till the restoration of the to-be-filled regions of all layers is completed. The method provided by the invention is wide in application range, is good in restoration effect, is high in practicality, can be suitable for the restoration of an image with large-area damages, and accords with the visual effect.

The invention provides an intelligent robot with an identification function. The intelligent robot comprises an intelligent robot body and an object identification device connected with the intelligent robot body. The object identification device carries out identification tracking on an object based on visual characteristics, and comprises a suspect object acquisition module, a color information processing module, a contour information processing module and a feature evaluation module which are connected sequentially, wherein the color information processing module transforms an original frame image from an RGB color space to an HSV color space, and constructs a hue and color model of the suspect object in the HSV color space; and the contour information processing module is used for carrying out region type classification of characteristic regions and non-characteristic regions on actual contour of the original frame image, combining the adjacent regions of the same type, and selecting filters with different parameters for carrying out smooth processing on the combined characteristic regions and the combined non-characteristic regions separately. The intelligent robot has the advantages of high identification precision and fast identification speed.

The invention provides a vehicle monitoring system with a target recognition function. The vehicle monitoring system with the target recognition function comprises a vehicle monitoring system and a target recognition device connected with the vehicle monitoring system; the target recognition device carries out recognition and tracking on a target based on visual features and includes a suspicious target acquisition module, a color information processing module, a contour information processing module and a feature evaluation module which are connected with one another sequentially, wherein the color information processing module converts an original frame image from an RGB color space to an HSV color space and constructs a tone color model of a suspicious object in the HSV color space, and the contour information processing module is used for carrying out feature region and non-feature region-based region type classification on the actual contour of the original frame image, merging adjacent regions of the same type and selecting filters with different parameters to carry out smoothing processing on merged feature regions and non-feature regions separately. The vehicle monitoring system with the target recognition function of the invention has the advantages of high recognition precision and high recognition speed.

The invention discloses an image restoration model training method and system and an image restoration method, and the method comprises the steps: carrying out the random mask processing of a plurality of original images, and generating a training data set for training an image restoration deep neural network model; constructing an image restoration deep neural network model, wherein the image restoration deep neural network model comprises a generation model and a discrimination model, the generation model is used for restoring an incomplete area or a fuzzy area of the image, and the discrimination model is used for judging whether a restoration result of the generation model meets a preset requirement or not; training an image restoration deep neural network model by using the training data set to obtain a trained image restoration deep neural network model. According to the method, the image can be restored more effectively, the requirement of people for a high-quality image is met,and the problems that a traditional image restoration technology is difficult to restore under the conditions that the restoration area is large and the image color difference is large, the restoration effect is poor, and the restored area is unnatural can be solved.

The invention relates to an image color restoration method and device based on a sea-sky background, and the method comprises the steps: 1, carrying out the defogging processing of a distorted targetimage, and obtaining an enhanced image; Wherein the distorted target image comprises a sea surface background and a sky background; 2, extracting a sea antenna in the enhanced image to obtain a sea surface background and a sky background which are distinguished; and step 3, respectively migrating the colors of the sea surface background and the sky background in the clear reference image to the distinguished sea surface background and sky background, and obtaining a restored image through fusion. The method is simple in calculation and suitable for hardware implementation, the degraded color of long-distance imaging can be well recovered, and the reconnaissance efficiency of the reconnaissance ship is improved.

The present invention discloses an information processing method and an electronic device. The method comprises: based on a current environment in which a first object is located, acquiring a first image, wherein the first image comprises first object information corresponding to the first object; acquiring a second image corresponding to a first virtual scene, wherein the second image comprises at least one virtual object; and based on the first image and the second image, generating a third image corresponding to the first virtual scene, wherein the third image comprises the first object information.

The invention provides an image processing method, device and equipment, and a storage medium. The method comprises the steps: obtaining a first license plate region where a license plate is located from a collected vehicle image; selecting a target pixel point needing color conversion from the first license plate area according to the color information of each pixel point in the first license plate area; converting the color of a target pixel point in the first license plate area to obtain a second license plate area; and fusing the first license plate area and the second license plate area of the vehicle image to obtain a target image. Targeted color conversion can be carried out on the license plate area, the image effect of the license plate area is improved, and other areas except thelicense plate area can be prevented from being influenced.

The present invention provides an image processing device based on visual features, including an image processing device and a target recognition device connected to the image processing device. The target recognition device recognizes and tracks targets based on visual features, and includes sequentially connected suspect target acquisition modules, color information Processing module, contour information processing module, and feature evaluation module, wherein the color information processing module converts the original frame image from the RGB color space to the HSV color space and constructs the hue color model of the suspected target in the HSV color space, and the contour The information processing module is used to divide the actual outline of the original frame image into feature areas and non-feature areas, merge adjacent areas of the same type, and select filters with different parameters to compare the merged feature areas and non-feature areas. Non-feature regions are smoothed separately. The invention has the advantages of high recognition precision and fast recognition speed.

The invention discloses a heat discoloration electric kettle which comprises a kettle lid, a kettle body, a handle, a base and an electric heating disc matched with the base, wherein a water inlet is formed at the top of the kettle body; a kettle spout is arranged on a side wall of the kettle body; the kettle lid swinging side to side relative to the water inlet is mounted on the kettle body; the external surface of the kettle body is covered with a film; and the film comprises heat discoloration fibers. According to the heat discoloration electric kettle, with the adoption of the mode, the film on the external surface of the kettle body can be changed into different colors according to temperature of water in the electric kettle, so that people can conveniently judge the temperature of the water in the electric kettle visually, and the visual effect of the people is satisfied.

The invention provides a laser cutting device capable of achieving autonomous recognition. The laser cutting device comprises a laser cutting device body and a target recognition device connected with the laser cutting device body. The target recognition device recognizes and tracks a target based on visual characteristics and comprises a suspicious target obtaining module, a color information processing module, an outline information processing module and a characteristic evaluation module which are connected in sequence, wherein the color information processing module converts an original frame image from an RGB color space to an HSV color space and establishes a hue color model of a suspicious target in the HSV color space. The outline information processing module is used for classifying the region types of characteristic regions and non-characteristic regions of an actual outline of the original frame image, merging the adjacent regions of the same type and selecting filters with different parameters to conduct smoothing treatment on the merged characteristic regions and the non-characteristic regions. The laser cutting device has the advantages of being high in recognition precision and high in recognition speed.

The invention provides a warning system capable of rapid identification. The system includes a warning system and an object identifying apparatus which is connected to the warning system. The object identifying apparatus tracks an object based on visual features, and includes a suspected object acquiring module, a color information processing module, a profile information processing module, and a feature evaluation module which are successively connected. The color information processing module conducts RGB-HSV color space transformation on an original frame image and establishes a hue color model of a suspect object in the HSV color space. The profile information processing module is intended for dividing the actual profile of the original frame image into feature areas and non-feature areas and combines adjacent same-type areas, and selects filters with different parameters to conduct separate smooth processing on the combined feature areas and non-feature areas. According to the invention, the system is advantaged by high precision and rapid speed.

The invention provides a high-recognition-performance laser processing machine tool. The high-recognition-performance laser processing machine tool comprises a laser processing machine tool body and a target recognition device connected with the laser processing machine tool body. The target recognition device recognizes and traces a target on the basis of visual features, and comprises a suspected target obtaining module, a color information processing module, a contour information processing module and a feature evaluation module, wherein the suspected target obtaining module, the color information processing module, the contour information processing module and the feature evaluation module are sequentially connected, and the color information processing module conducts conversion from the RGB color space to the HSV color space on an original frame image and establishes a hue and color model of a suspected target in the HSV color space. The contour information processing module is used for conducting area type division of feature areas and non-feature areas of the actual contour of the original frame image, combines the adjacent areas of the same types, and selects filters of different parameters to conduct smoothing processing on the combined feature areas and the combined non-feature areas. The high-recognition-performance laser processing machine tool has the beneficial effects of being high in recognition precision and high in recognition speed.

The invention discloses a data table relation visualization method, system and device and a readable storage medium. The method comprises the following steps that 1, metadata is converted into original data with a standard normal form; 2, the longest path from each node to the center node in the original data obtained in the step 1 is obtained; step 3, obtaining two-dimensional coordinates of each node according to the longest path obtained in the step 2; and 4, forming a data table relation effect graph according to the two-dimensional coordinates of each node obtained in the step 3. According to the method, the visualization effect of the deep blood relationship among the data nodes can be realized, so that the service requirements during processing of mass data are met.

The invention relates to a multifunctional musical instrument sound film, which is characterized by comprising a membrane, a plastering agent, and a framework, wherein the membrane taking on scale picture patterns imitating garter snake skin and python molurus skin is integrally pasted with the rhombic net-shaped framework by using the plastering agent to form a plane sound film or a concave-convex sound film with scale picture patterns of garter snake skin and python molurus skin on the surface. The multifunctional musical instrument sound film has the advantages of more convenient operation, long life span, low price, environmental protection, and can achieve the visual and sound effect of wild python molurus skin and snake skin, and can further generate physical overlapping vibration to ensure that the sound stronger and more stable, after sound is thick and the sound volume is larger.

The invention relates to a seasonal style conversion model and method for an image named MSGAN. The seasonal style conversion model comprises a generator G, a generator F, a first true and false discriminator DG, a second true and false discriminator DF and a seasonal discriminator DS. The generator aims to convert an input image into other specific seasonal styles. The true and false discriminator is used for distinguishing whether the image is a composite image. And the season discriminator performs season classification on each synthesized image and each real image. The two discriminators can provide guidance for the generator respectively. In order to give a correct optimization direction of the network, the MSGAN respectively uses style loss, structural similarity loss and color lossto improve the generation capability of the generator. Moreover, the MSGAN uses the saliency information of the image for the first time to guide the image style conversion task, so that the image style conversion result better conforms to the real situation of human eyes.

The invention discloses a telescopic LED (Light-Emitting Diode) lamp. The telescopic LED lamp comprises an LED body, a telescopic position, a plurality of telescopic bodies and lamp beads, wherein the telescopic position is positioned on the side edge of the LED body, and allows the telescopic bodies to extend and retract; the telescopic bodies are positioned outside the LED body, and are positioned on the same horizontal plane as the LED body. By adopting the telescopic LED lamp provided by the invention, the telescopic bodies can be controlled in a telescopic way according to practical demands, the visual effect can be achieved, the practicability of the telescopic LED lamp is higher than that of an ordinary indoor lamp, and the actual demands in life are met.

The invention discloses a semi-unit type daylighting roof glass curtain wall mounting system and a construction method thereof. The mounting system comprises a W-shaped roof slope surface, glass or panel connected to the roof slope surface, a top connecting piece which is connected to the upper portion of a ridge, a lamp which is connected to the top connecting piece and a valley connecting piecewhich is connected to a valley. During construction, by arranging the top connecting plate and a top adapter at the ridge, the glass or panels at the ridge can be conveniently connected, a detachableframe connecting piece is connected with the glass or panels on the two sides, and the installation angle can be easily adjusted on site; a valley connecting plate and a valley adapter are arranged atthe valley so that glass or panels at the valleys can be conveniently connected; through the arrangement of a valley buckle cover and a valley sealing edge, sealing of the joint of the house valley is facilitated; through the arrangement of a valley end connecting piece, fixing and sealing of the end of a waterproof belt are facilitated, and through connection of a sealant, the structure of the connecting position is more integral.

The invention provides an ultrasonic detecting apparatus with an identifying function. The ultrasonic detecting apparatus comprises an ultrasonic detecting means and an object recognizing means connected to the ultrasonic detecting means. The object recognizing means identifies and tracks an object based on a visual feature and comprises a suspicious object acquisition module, a color information processing module, a contour information processing module, and a feature evaluation module which are successively connected, wherein the color information processing module performs conversion on an original frame image from a RGB color space to a HSV color space and constructs a hue color model of the suspicious object in the HSV color space, the contour information processing module is used for dividing the actual contour of the original frame image into characteristic areas and non-characteristic areas, merges the adjacent same type of areas and separately smoothes the merged characteristic areas and the merged non-characteristic areas by selecting filters with different parameters. The ultrasonic detecting apparatus has advantages of high recognition precision and fast recognition speed.