320results about "Image data processing details" patented technology

A pattern which does not appear at a flat portion in normal binarization processing is set as a code pattern, and a code formed from this pattern is attached. At this time, code attachment with little degradation in image quality is implemented by selecting an unnoticeable pattern.

In a measurement processing apparatus for measuring a geometric feature of an object image: a measurement-reference-element setting unit automatically sets at least one first measurement reference element for use in measurement of the geometric feature of the object image, at at least one first position on the object image based on first image data representing the object image and position information indicating at least one second position of at least one second measurement reference element which is set on a measurement reference image corresponding to the object image; and a geometric-feature measurement unit measures the geometric feature of the object image based on the at least one first position of the at least one first measurement reference element.

A detection device includes: a plurality of photodiodes arranged on a substrate; a front light including a light guide plate disposed so as to overlap the photodiodes, a light source configured to emit light to a first side surface of the light guide plate, and a plurality of scattering portions provided on the light guide plate and configured to scatter light from the light source; and an optical filter layer provided between the photodiodes and the light guide plate of the front light. The optical filter layer includes a plurality of light guide paths that at least partially overlap the photodiodes, and a light-blocking portion having higher absorbance of the light than the light guide paths. The scattering portions are provided in an area overlapping the light-blocking portion of the optical filter layer on a surface of the light guide plate facing the optical filter layer.

The application provides an AIGC image active defense method based on adversarial disturbance generation and reversible embedding, and relates to the technical field of artificial intelligence security. The application overcomes the instability caused by the separation of embedding and generation by integrating the copyright information, the verification key and the adversarial disturbance through the forward transformation Ffwd of the reversible neural network, and realizing lossless restoration of the information in the attack-free state through the reverse transformation Finv. In addition, a refined visual perception constraint mechanism is introduced, and the closed-loop verification of the secondary visual perception evaluation value Lps is performed, so that the image visual quality is ensured and the attack effectiveness is maximized, and the overall consideration of high-strength copyright protection and active defense is realized.

This invention provides a laser processing method based on scanning path control of energy distribution, belonging to the field of laser processing technology. Specifically, the method involves: establishing an ideal hole shape model and processing it in layers; acquiring a three-dimensional point cloud of the hole wall in real time to reconstruct the real-time hole shape containing circumferential deviations; calculating the radius and taper deviation fields accordingly; dynamically generating an eccentric spiral conformal scanning path; and adjusting the beam incident angle based on the taper deviation; simultaneously, combining the deviation field and the circumferential deviation to obtain an equivalent deviation; dynamically controlling the single-pulse laser energy through an inverse adjustment function; and coordinating with flat-top beam shaping to achieve precise energy distribution. This method can effectively improve the dimensional accuracy and taper consistency of laser-processed holes.

The application discloses a kind of soft and hard combination board uncovering and revealing Fid SMT alignment method and device.Establish positioning coordinate system after plate, collect multiple exposure images and polarization switching images and HDR fusion, remove specular reflection, combined with height data registration to form joint feature map;It is input into improved HG-BCNet segmentation neural network, and selection uncovering strategy;Recapture calculates the occlusion rate and quality score to obtain a set of usable Fid, and trigger secondary micro-uncovering and adaptive recapture when abnormal;Robustly solve compensation parameters for usable Fid, and fit flexible zone deformation with partition affine and thin plate spline;Issue to SMT equipment recapture verification, trigger recalculation / reshaping according to residual value and spatial distribution and output evidence chain.The application improves HG-BCNet height guided segmentation and uncovering closed-loop control, Fid availability quantitative determination and flexible zone deformation compensation by combination, significantly improves SMT alignment accuracy and production line beat efficiency, reduces quality risks such as mounting offset.

This invention relates to the field of computer graphics data processing technology, specifically a method for hot-plugging dynamic outer contour meshes driven by three-dimensional spatial domain and time slices. The steps include: S1, receiving air traffic control message information in real time via a transmission protocol, converting geographic coordinates into target world coordinates, and simultaneously generating management files; S2, constructing a spatial domain mesh in real time based on the four types of management files using a combination of outer contour extrusion and ear-cutting methods; S3, mapping the spatial domain ID and time slice from the message to the spatial domain mesh constructed in S2, constructing a double-key hash index of spatial domain ID and time slice, which serves as the sole basis for the hot-plug manager to determine whether to update or create a mesh, dynamically executing spatial domain mesh hot-plugging. Employing the contour extrusion-ear-cutting method and vertex cache reuse mechanism, combined with the "spatial domain ID and time slice" double-key hash index, it supports dynamic construction and hot-plugging operations of the mesh model, meeting the low-latency rendering requirements of real-time air traffic control data.

The application discloses a discrete manifold harmonic three-dimensional geographic information data compliance outbound traceability and integrity verification method. The application provides a technical scheme capable of hiding compliance approval information in the frequency domain characteristics of a three-dimensional model without destroying the precision of model engineering, resisting conventional geometric attacks and format conversion, and mainly applied to the ownership right confirmation, flow direction control and compliance audit of high-precision geometric models such as engineering building information models (BIM) and desensitized real scene three-dimensional data in cross-border circulation scenarios.

Various implementations relate to methods, systems, and computer-readable media to dynamically apply creator signatures to virtual assets within a virtual platform. According to one aspect, a computer-implemented method includes receiving a request to display a virtual asset associated with a creator, where the request is linked to an avatar in a virtual environment hosted on the platform. A creator signature, which is defined by visual properties unique to the creator, is retrieved and stored separately from the virtual asset. The method includes rendering the virtual asset by rasterizing it and applying a fragment shader to overlay the creator signature as a dynamic visual element that changes over time based on predefined parameters. The rendered virtual asset with the dynamic signature is displayed within the virtual environment, providing visual attribution to the creator while preventing unauthorized embedding of the signature in the asset data.

The present invention makes it possible to create desired scenario data in a simulation of autonomous driving, for example, with reduced labor.　This scenario data generation system includes a storage device and a processor. The storage device stores scenario data that includes information about operations of one or more objects at each sample time in a scene in which the one or more objects operate, and prompt data that instructs a generative artificial intelligence to perform a desired operation of each object. The processor starts a step-by-step simulation at each sample time based on the scenario data, causes, in each step, the generative artificial intelligence to generate a next state that is a state of the object at the next sample time due to the desired operation based on the state of the object in the scenario data, updates the state of the object at the next sample time in the scenario data to the next state, and outputs the scenario data when the simulation is completed.

The application relates to a new-born image record detection method, system, device and medium based on artificial intelligence. The method comprises the following steps: completing identity binding through wristband near field communication, generating a dynamic blood relationship label and embedding the video stream, combining multi-modal sensing data, identifying key events through a time sequence convolution network and an obstetric knowledge graph, and realizing intelligent control of image acquisition; a Mask R-CNN model is used to identify sensitive areas, and a segmented Logistic chaotic permutation based on UID and a timestamp is used to realize irreversible desensitization, and finally, the event is cut and archived according to the event and verified and uploaded. The method intelligently identifies key events of a new-born through multi-modal sensing data combined with an obstetric knowledge graph, realizes irreversible covering of sensitive areas through segmented Logistic chaotic pixel permutation, and realizes structured archiving based on events, thereby effectively improving the identity security, event identification accuracy, privacy protection strength and data management standardization of new-born image records, and guaranteeing the traceability and clinical reuse value of data.

The application provides a RWA asset physical state off-chain photograph uploading watermark generation method, comprising: S1. Data acquisition and algorithm pre-judgment; S2. Photograph shooting and watermark generation; S3. Algorithm interaction and iterative optimization; S4. Hash calculation and on-chain evidence storage. The application aims to solve the problems of algorithm coordination loss, insufficient creativity, weak authenticity verification and risk prevention and control capability in the existing RWA asset photograph uploading scheme, and realizes the authenticity, security and efficiency of RWA asset physical state record by constructing an algorithm fusion interaction system and an optimization basic module, meets the business compliance and risk prevention and control requirements, and improves the scene adaptability, resource utilization efficiency and operation convenience, and is suitable for multiple types of RWA assets and complex business scenarios.

This document discloses a method and apparatus for product recommendation using an external computing device. A data capture apparatus may include an imaging component and a prediction controller connected to a host device. The data capture apparatus may be configured to: capture images of objects in one or more fields of view; provide the generated image data associated with the images to an object prediction application deployed on the prediction controller; identify one or more aspects of the objects via the object prediction application; generate object candidate data corresponding to the objects from the identification via the object prediction application; generate object identifier data for each object candidate in the object candidate data; and / or transmit the object candidate data and / or object identifier data to the host device via a scanner terminal of the host device.

There is provided an information acquisition apparatus including an output means for outputting guidance information for guiding a subject to move a head while gazing at a predetermined position, and an image acquisition means for acquiring an image including an iris of the subject after outputting the guidance information.

The objective of the present invention is to estimate a parallax offset in a stereo camera. This stereo image processing device is provided with: a parallax image acquiring unit 204 which obtains a parallax image on the basis of images obtained by image acquiring units 202, 203; an object detecting unit 205 which detects an object on the basis of the images and the parallax image; an object parallax estimating unit 206 which estimates the parallax of the object; a storage unit 207 which saves an image region of the object detected by means of the parallax and the object detecting unit 205; an image comparing unit 208 which compares with one another images of the object captured at different times; a parallax offset estimating unit 209 which calculates a parallax offset; and a distance output unit 210 which adjusts the distance of the object on the basis of the parallax estimated by the parallax offset estimating unit 209. The image comparing unit 208 geometrically deforms one image region, from among image regions in a current frame and a past frame in which the same object appears, and compares the deformed image with the other image to obtain a geometric deformation that increases the degree of similarity therebetween.

The application provides a painting 3D texture printing method using a 3D scanner and a UV inkjet printer, and the method comprises the following steps: a data acquisition step: color image data and three-dimensional point cloud data containing height information of a painting original work are acquired; a data mapping step: according to the statistical distribution characteristics of the height information, the height value is divided into at least four intervals, the height value in each interval is respectively mapped to a gray scale value by using a preset nonlinear mapping curve, and at least four original gray scale maps corresponding to the intervals are generated; a layered processing step: edge feathering and layered superposition processing are performed on the original gray scale maps, and at least four layered printing gray scale maps are generated; and a layered printing step: according to the layered printing gray scale maps, a transparent UV varnish layer corresponding to each layered printing gray scale map is sequentially printed on a printing material by using the UV inkjet printer. The application realizes high-fidelity, high-precision and high-efficiency copying of the painting 3D texture, and has outstanding substantial characteristics and significant progress.

The application discloses a kind of based on thumbnail encryption image's authenticatable user end watermark method, belong to computer security technical field. Including: image pre-processing, image encryption, key generation and distribution, decryption and watermark embedding, tamper detection and positioning, tamper content recovery, extract watermark lock user identity.The present application is based on the holographic redundancy embedding of thumbnail and the fine authentication based on parity check, with very strong anti-shearing and self-healing ability;Using the disturbance of pair of pixel difference value, all image pixels can be embedded watermark, and the security blind area is eliminated;Encrypted image has clear identifiable thumbnail, and is highly similar to plaintext, which is convenient for cloud management, and the details privacy is effectively protected through high-frequency information confusion;Encryption and watermark embedding are fused in bottom algebra operation, and the calculation efficiency is high.

Provided are a data acquisition device, an image acquisition device, a data structure, a data acquisition method, an image acquisition method, a program, and a recording medium that can acquire an image close to a real space through imaging in a virtual space. A data acquisition device according to an embodiment of the present invention includes a processor, in which the processor is configured to acquire real subject data corresponding to virtual object data for displaying a virtual object in a virtual space, based on the virtual object data and a display condition for displaying the virtual space related to the virtual object.

This invention discloses a watermark embedding method, a watermark extraction method, and a reversible watermark processing system, belonging to the field of reversible watermark processing technology. During watermark embedding, a distributed embedding framework is used. As long as a preferred local circular embedding region survives, the watermark sequence can be repositioned and extracted during watermark extraction, fundamentally solving the single-point failure problem. Furthermore, during watermark extraction, different strategies are employed for watermark extraction and image restoration based on whether the final watermark image has suffered external attacks, enabling complete recovery even without external attacks. This invention also improves embedding efficiency and the quality of the final watermark image by embedding compression auxiliary information into the initial watermark image.

The application discloses a quantum image encryption method and device, electronic equipment, a storage medium and a computer program product. The method comprises the following steps: representing a to-be-encrypted image as a quantum image through a quantization process; determining the complexity of the quantum image; determining a target quantum encryption algorithm by using the complexity of the quantum image; and encrypting the quantum image by using the target quantum encryption algorithm.

Embodiments of the present application provide a data protection method and device, and relate to the technical field of data security, wherein the method comprises: obtaining target data and a carrier image; determining a plurality of two-dimensional code pictures based on the target data; each of the two-dimensional code pictures containing the target data; arranging the plurality of two-dimensional code pictures to obtain a secret image; hiding the secret image in the carrier image to obtain a stego image; the size of the stego image being the same as the size of the carrier image. The data protection method and device provided by the present application have the advantage that, since the secret image hides a plurality of two-dimensional code pictures containing target data, even if a user performs an interference operation such as local smearing or local cutting on the secret image, the target data can still be decoded based on the two-dimensional code image hidden in the part that has not been smeared or cut, thereby improving the anti-interference ability of secret image decoding and further improving the success rate of secret image decoding.

This invention provides an image processing device, an image processing method, and a program that can reproduce fluorescent colors that are not possible to express by adjusting correction coefficients (highly saturated fluorescent colors), and that are independent of the manufacturer or paper type. [Solution] The system includes a fluorescent color region identification unit 110 that identifies fluorescent color regions in image data acquired by an image acquisition unit (image scanner 13), and a composite data creation unit 120 that creates composite data 50 of fluorescent color image data 41 and non-fluorescent color image data 42. The composite data creation unit 120 creates composite data 50 of fluorescent color image data 41 created using a first machine learning model (fluorescent color estimation model 191) that outputs image data of a fluorescent pen color that matches the image of the fluorescent color region 40a, and non-fluorescent color image data 42 created using a color reproduction method for an image of a region different from the fluorescent color region 40a.

This invention discloses an automatic mural splicing control system and method based on image recognition, belonging to the field of image recognition technology. The method includes: performing image recognition decomposition and structured encoding on the mural design drawing to obtain an assembly code map, a target wall reference rendering, and a 3D preview model; acquiring multi-view images of the wall work area and completing camera calibration, determining the transformation relationship between the camera coordinate system and the wall coordinate system to form a wall mapping matrix, and using the wall mapping matrix to map the assembly code map into a target placement coordinate table; acquiring pixel block images of the material area, extracting the appearance contour and appearance feature descriptors, and performing nearest neighbor matching with the assembly code map to obtain the corresponding entries in the target placement coordinate table. By combining the assembly code map with the target placement coordinate table, this invention can accurately generate the grasping and placement posture sequence of the robotic arm, achieving automated assembly and significantly improving the accuracy and efficiency of the assembly process.

To reduce the time required for colorimetry.SOLUTION: A colorimetric device 2 comprises: a colorimetric unit 20 that has an irradiation unit 21 having an LED that irradiates a color chart image with light and a substrate that is provided with the LED, and a light receiving unit 22 that receives reflected light being the light emitted from the LED and reflected on the color chart image, and measures the color of the color chart image; a moving unit 202 that reciprocates the colorimetric unit 20 along a cross direction; a calibration member 31 that is provided in the cross direction; a temperature sensor 30 that detects the temperature of the LED or the temperature of the substrate; and a colorimetric device control unit 200 that, when determining to perform calibration of the colorimetric unit 20 in colorimetry of the color chart image based on the temperature of the LED or the temperature of the substrate detected by the temperature sensor 30, causes the moving unit 202 to move the colorimetric unit 20 to the calibration member and performs calibration of the colorimetric unit 20.SELECTED DRAWING: Figure 4

This invention belongs to the field of artificial intelligence technology and discloses a method and device for constructing an artificial intelligence training dataset and detecting copyright infringement. First, an original image dataset is acquired, and a portion of the original images are selected as images to be processed according to a preset watermark embedding rate. Then, motion parallax watermark embedding processing is performed on each image to be processed. First, near and far masks are generated based on the distance from the pixel position to the image center. Then, near and far pixel offsets are applied respectively to obtain near and far offset images, which are fused to obtain a disguised image. This disguised image is then weighted and fused with the image to be processed to obtain a motion parallax watermark image, and its classification label is modified to a preset target label. Finally, it is combined with the unprocessed original images to form a training dataset. The purpose of this invention is to solve the problems in existing data watermarking methods, such as the ease with which training data preprocessing can destroy the watermark, inconsistencies between traditional watermark generation and the characteristics of the original image, leading to watermark failure, inaccurate infringement detection, and easy removal of the watermark, thereby achieving more effective copyright protection and infringement detection.

The application discloses a ROI-oriented multi-image encryption method based on a two-dimensional composite inverse cosine-cosine-sine system, and comprises the following steps: acquiring multiple color original images; processing all the images by using SAM to segment into key regions and non-key regions; based on the acquired multiple images and corresponding mask matrices, the image pixels are divided into pixel sequences with mask values of 1 and pixel sequences with mask values of 0 according to the mask matrices; converting all the color images into one-dimensional sequences, splicing the one-dimensional sequences to obtain one-dimensional sequences, processing the sequences, generating keys again, and iteratively processing the keys based on the two-dimensional composite inverse cosine-cosine-sine system to obtain three groups of index arrays; encrypting the ROI regions of the pixel sequences with mask values of 1 and the NROI regions of the pixel sequences with mask values of 0; and back-filling the encrypted images to obtain multiple encrypted images with the same size as the original images. The method has high security and is suitable for image encryption.

Methods and systems for hiding secret messages or data in an NET are described. A system may access data specified by a user to embed within a digital asset. The system may determine a steganography scheme to use to embed the data and embed the data within the digital asset according to the steganography scheme. The system may store the digital asset embedded with the data on a decentralized storage network and receive an associated first Uniform Resource Identifier (URI). The system may create, using the first URI, a metadata of the digital asset embedded with the data. The system may store the metadata on the decentralized storage network and receive an associated second URI. The system may create a non-fungible token (NET) based on the second URI and store the NET on a blockchain. The user or other users may subsequently retrieve the digital asset from the decentralized storage network and extract the data embedded therein.

This technology provides the ability to estimate images using a correction map generated by a low-bit-depth neural network, even if the data structures of the input and output images are different. [Solution] The information processing device includes: an image acquisition means for acquiring a first image with a first bit depth; an image conversion means for performing image processing on the first image to convert it into a second image; an image quantization means for converting the first image or the second image into a third image with a second bit depth lower than the first bit depth; a correction map estimation means for estimating a correction map of correction bit depths to correct the second image based on the third image; and an image correction means for correcting the second image based on the correction map to generate a corrected image.