202 results about "Photo image" patented technology

A tire inspection support apparatus includes: a first detection unit that detects a first area including a cracked part candidate in a tire through first image processing performed on a photographed image of the tire; a generation unit that generates an image to be processed obtained by extracting a partial image corresponding to the first area from the photographed image; a second detection unit that detects a second area showing the cracked part from the first area through second image processing performed on the image to be processed; and a calculation unit that calculates an index value for the cracked part in the tire based on the second area.

The invention discloses a wafer cutting channel defect detection method and device, and the method comprises the steps: photographing the front surface and the back surface of a cut cutting channel, detecting whether the cut defects exist in an obtained first photographing image of the front surface and a second photographing image of the back surface, and when the cutting abnormality is judged to occur, judging whether the cut defects exist or not. Photographing the cutting surface of the cutting channel at the abnormal position so as to further confirm the influence caused by the abnormality on the obtained third photographed image of the cutting surface; before photographing, optical amplification elements are arranged on the front face, the back face and the cutting face of the cutting channel respectively, then photographing is carried out, and amplified images formed by the front face, the back face and the cutting face of the cutting channel through the optical amplification elements are correspondingly displayed in a first photographed image, a second photographed image and a third photographed image. According to the invention, the detection area during photographing can be saved, the detection speed is improved, and rapid judgment is facilitated, so that the detection efficiency is improved.

The invention discloses a pre-splitting blasting half-wall porosity intelligent identification system and method, and the system comprises a front-end display platform and a rear-end operation system which carry out data interaction through a computer, and the operation result information is displayed and checked through the front-end display platform; the front-end display platform consists of a menu bar, a toolbar, a display window and a command line; the rear-end operation system mainly comprises a half-wall hole image database, an image denoising module, an image segmentation module, a data statistical analysis module, an identification calculation module and the like, half-wall hole photo images are collected on steps on the two sides of the platform through the unmanned aerial vehicle oblique photography technology with or without the RTK function, a three-dimensional image database marked with half-wall hole information is established, and the three-dimensional image database is used for storing the half-wall hole information. An intelligent half-wall porosity recognition algorithm based on computer deep learning is developed, accurate recognition of the half-wall porosity is achieved, the traditional presplitting blasting quality evaluation efficiency can be greatly improved, and the method can be widely applied to slope presplitting blasting effect evaluation in the fields of surface mines, water conservancy and hydropower, transportation and the like.

The invention relates to the technical field of image generation and image processing, in particular to a figure group photo generation method based on a depth generation model. The method aims at solving the problems that in the prior art, multi-person group photo generation depends on multiple pieces of template data, character features (such as hair styles and body types) are reduced insufficiently, the model collaboration efficiency is low, and the input image quality is sensitive. According to the main scheme, the method comprises the steps of 1, obtaining a target person photo to be subjected to group photo generation, and performing intelligent photo optimization processing on the target person photo to obtain an optimized person photo; 2, inputting the optimized character photo and a description cue word into an OmniGen model to generate a preliminary character group photo; and step 3, performing facial feature extraction and refined redrawing on the target person area in the preliminary person group photo by using a face replacement model to obtain a fidelity person group photo image with the similarity with the face of the target person being greater than 90%.

The invention discloses a method and system for constructing a fundus anomaly recognition model and a medium, and the method comprises the steps: collecting a normal fundus color image, constructing a training set and a verification set according to the normal fundus color image, and training an AutoEncoder model, thereby obtaining a basic pre-training model with the capability of reconstructing the normal fundus image; constructing a Unet model, freezing an encoder in the basic pre-training model, and fusing the Unet model with the frozen basic pre-training model to obtain a fused model; generating a mask matrix by using Berlin noise, and carrying out pixel replacement on the plurality of normal fundus color images based on the mask matrix to obtain a plurality of abnormal color images with abnormal areas; and performing data training on the fusion model by using the abnormal color photo image and the normal fundus color photo image to obtain a fundus anomaly recognition model. The fundus anomaly recognition model constructed by the invention can effectively segment and recognize the abnormal region in the fundus image, thereby greatly reducing the workload of doctors and improving the diagnosis efficiency and accuracy.

An electronic device, a method and a computer program product for controlling multiple cameras. The method includes detecting, via at least one processor, activation of a first camera of an electronic device to capture a first image incorporating a first region of interest within a field of view of the first camera and in response to detecting selection of a dual camera superimposed selfie capture mode for completing the image capture, capturing, via the first camera, the first image that includes the first region of interest. The method further includes contemporaneously capturing, via a second camera, a second image containing at least one face, cropping a facial image comprising the at least one face from the second image and superimposing the facial image onto the first image to generate a first composite image.

An electronic device, a method and a computer program product for controlling multiple cameras. The method includes detecting, via at least one processor, activation of a first camera of an electronic device to capture a first image incorporating a first region of interest within a field of view of the first camera and in response to detecting selection of a dual camera superimposed selfie capture mode for completing the image capture, capturing, via the first camera, the first image that includes the first region of interest. The method further includes contemporaneously capturing, via a second camera, a second image containing at least one face, cropping a facial image comprising the at least one face from the second image and superimposing the facial image onto the first image to generate a first composite image.

An information processing terminal according to an embodiment includes a determination unit, a display control unit, an acquisition unit, and a transmission unit. The determination unit determines whether information regarding a registration of a product satisfies a photographing condition. The display control unit allows a display unit to display an automatic photographing guidance for the product based on a determination result of the determination unit. The acquisition unit acquires, based on automatic photographing of the product, photographed image data of the photographed product. The transmission unit transmits the photographed image data acquired by the acquisition unit.

The invention provides an image synthesis method and device, equipment and a medium, and the method comprises the steps: carrying out the image embedding vector extraction of a target template image corresponding to a target face image and a target identification photo image based on an image embedding module in an image synthesis model, and obtaining an image embedding matrix; based on a feature processing module in the image synthesis model, performing semantic feature extraction, feature fusion and feature coding on the image embedding matrix in sequence to obtain a coding feature vector; and based on a diffusion model in the image synthesis model, performing image synthesis by applying a condition control vector formed by the coding feature vector to obtain the target identification photo image. According to the method, image generation is guided by image semantic features, it is effectively ensured that the synthesized target identification photo image not only accurately retains the rich-detail features of the face area of the target face image, but also meets the standard requirements in the target template image, and thus the quality and efficiency of image synthesis are improved.

An electronic punching bag device for enhancing training for a boxer includes a punching bag which includes a plurality of chains for suspending the punching bag from the suspension for a boxer to deliver punches to the punching bag. A display screen is wrapped around the punching bag to display imagery that is visible to the boxer. A communication unit is integrated into the punching bag and the communication unit receives data from a personal electronic device comprising photographic imagery or video imagery which is displayed on the display screen. A plurality of pressure sensors is each integrated into the punching bag to sense the pressure of the punches delivered by the boxer.

Systems and methods for generating a personalized three-dimensional avatar model are disclosed. A method includes generating pose data by identifying key points on a body figure mapped on user photographic images, loading a three-dimensional avatar model template based on persona characteristics and aligning the avatar model template with pose data to position the avatar in a corresponding posture. The personalized avatar model is generated using gradient descent optimization to adjust avatar model parameters based on a comparison of aligned avatar model with user images.

A fundus color photo image grading method and apparatus, a computer device, and a storage medium are provided. The method comprises: obtaining an original image, enhancing the original image, and obtaining a target image (S100); performing color processing on the original image and the target image, and respectively obtaining a first processed image and a second processed image (S200); using a pre-trained grading model to perform processing on the first processed image and the second processed image, and obtaining a target grading result (S300). Multi-color space first and second processed images act as model inputs, and prediction is performed by means of fused features on a whole image scale to implement the classification and grading of common fundus color photo diseases, so as to automatically screen fundus color photos with pathological changes, achieve a pre-screening effect, and improve operational efficiency.

The invention discloses an image generation method and system based on artificial intelligence. The image generation method comprises the following steps: acquiring a content outline of a to-be-generated image by using basic information input by a user; acquiring information of a plurality of roles based on the content outline; obtaining makeup picture images of all roles by using the role information; and inputting the split information obtained by the content outline and the make-up photo image into a ComfyUI workflow to generate all split scene graphs of the story outline. According to the method and the device, each sub-mirror scene generated by the AI is ensured to be consistent in character image and artistic style, and the drawing production efficiency is improved.

A method for generating a digital ID comprising capturing one or more user images of user's face, transmitting the one or more user images or data derived therefrom to a verification server and determining if the one or more images represent a live person. Capturing an ID image of a photo identification for the user and transmitting the ID image to the verification server. Comparing at least one of the one or more user images or data derived therefrom to the image of the user on the photo identification to determine if user in the one or more user images is the same person as the image on the photo identification. Responsive to a match from the comparing and a determination that a live person was captured in the one or more user images, generating a user digital ID, and transmitting the user digital ID to the user.

An image processing apparatus according to this embodiment includes: a specifying unit configured to specify, when parameter values of illumination parameters at a plurality of points corresponding to pixels of a photographed image obtained by photographing an object at a predetermined sampling time are compared with each other, a plurality of peak points each of which is a peak with respect to surrounding parameter values; a generation unit configured to generate, based on respective peak values of the parameter values at the specified plurality of peak points, the parameter values at a plurality of points between the peak points, and thereby generate a distribution of the parameter values; and a correction unit configured to correct the photographed image obtained at the predetermined sampling time by correcting the parameter values of at least one pixel of the photographed image.

The invention discloses a fusion algorithm for cross-modal face recognition, which comprises data description, a data set comprises data from 142 subjects, a total of 2556 pairs of image samples, each pair of samples is composed of a black-and-white image collected by a cab and a color image of an identification photo, the number of the images of two modals is 50%, and in order to ensure the practical applicability of a test set, the fusion algorithm is provided with a fusion algorithm for cross-modal face recognition. 20% of the image pairs of each subject are randomly selected as a test set to ensure balanced distribution of different illumination conditions, shooting angles and expression changes, in addition, all the images are manually screened, samples which are seriously blurred, shielded or insufficient in illumination are removed, and the data quality is ensured; the modeling step comprises preprocessing, face area detection and face standardization, face vector representation, distance measurement, learning rate scheduler construction, loss function and model training.

A method and system to verify carpool occupancy compliance for access to High Occupancy Vehicle (HOV) lanes, High Occupancy or Toll (HOT) lanes, or other vehicle-occupancy contingent rewards. Software and hardware devices are used with radio-frequency transmitter modules to capture one or more photo images of vehicle occupants and to perform boxed headcounts of humans in any given photo frame. Biometric signature detection is used to confirm the boxed headcounts and a realness algorithm to further confirm the genuineness of any human image. Occupancy compliance can be communicated directly to an appropriate regulatory body.

The invention provides an art photo image enhancement processing method, and belongs to the field of image enhancement. According to the method, a dynamically generated multi-scale fusion coefficient and a cross-domain interaction mechanism are utilized, a hybrid domain attention (HDAB) module is constructed to extract frequency domain and spatial domain feature information of an art photo image, and fusion and enhancement of high-frequency, low-frequency and multi-scale features are realized; through a normalization and contrast stretching method, in combination with a region saliency enhancement strategy, an adaptive contrast enhancement (ACEM) module is constructed, contrast enhancement is performed on artistic photo image features, weight information is dynamically generated, target region features are highlighted, and the method improves the visual effect of the artistic photo and enhances the artistic expressive force and detail definition of the artistic photo.

The invention discloses a multi-dimensional information collection method for express packages and an all-in-one machine. The method comprises the following steps: scanning an express parcel through an X-ray module to obtain a photo image of the express parcel; determining external information of contents in the package and express sheet information according to the shadow image; wherein the express sheet of the express parcel comprises information printed by X-ray developing special ink; determining semantic information of the package inclusions according to the external information of the package inclusions; and determining express sheet associated information of the express package according to the express sheet information. According to the scheme, during security check of the express parcel, the external information and the semantic information of the content of the parcel can be effectively obtained, whether the content of the parcel comprises dangerous goods or not is judged, and the express sheet of the express parcel can be scanned to obtain the information of the express sheet while security check is carried out.

The embodiment of the invention relates to an image generation method and device, equipment and a storage medium. The method comprises the steps of obtaining at least one personal image in response to a target interaction operation; the portrait image comprises one or more to-be-processed target objects; determining a reference group photo image, wherein the number of reference objects in the reference group photo image is the same as that of the target objects; based on the portrait image, fusing the target object to a reference object in the reference group photo image to generate an initial group photo image; based on a target diffusion model corresponding to the target object, adjusting at least one object feature of a fusion object corresponding to the target object in the initial group photo image, and generating a target group photo image; the target diffusion model is obtained by performing fine tuning training on the initial diffusion model based on an image sample of the target object. In this way, the flexibility and diversity of personalized image generation are improved, and the authenticity and image quality of the generated personalized image are improved.

The present invention discloses a dynamic three-dimensional foot scanning method, which collects foot photo image data in three directions through cameras set at three positions below and on both sides of the foot, and then obtains a three-dimensional foot model through computer algorithm calculation. The method is characterized in that when collecting data, the foot and the three cameras are controlled to realize relative movement along the front-back direction, and multiple groups of camera data are collected at multiple different positions, and the three-dimensional foot model is calculated based on the multiple groups of camera data. The present invention can realize a higher-precision scan of the foot based on a low-cost camera data collection method, and at the same time greatly reduces the accuracy requirements for the foot placement position, can better meet the scanning accuracy requirements of special foot types, and has the characteristics of convenient and fast operation.

The invention relates to an image generation method and device, electronic equipment and a medium, and the method comprises the steps: obtaining a plurality of groups of images, and each group of images comprises at least one first sample image containing an object to be subjected to group photo; obtaining group photo image description information for describing a group photo generation effect of the object to be subjected to group photo contained in each group of images; and based on the multiple groups of images and the group photo image description information, generating a group photo image which contains the object to be subjected to group photo contained in each group of images and is matched with the group photo image description information. The whole group photo image generation process does not need to use a shooting device, the group photo image matched with the group photo image description information can be created based on the images of the multiple groups of different objects to be subjected to group photo and the group photo image description information input by the user, the degree of freedom and playability are high, the generated group photo image is close to the real shooting effect, and the user experience is improved. Even if the user and the relatives are separated, the group photo image of the user and the relatives can be generated, and the user experience is improved.

To make it possible to improve detection accuracy of an object.SOLUTION: An information output device receives photographic image information as information of an image photographed by a camera from a plurality of cameras; receives reception radio wave information as information about radio waves received by a radio wave sensor from a plurality of radio wave sensors; calculates a matching degree between reception information including the photographic image information received from a set of cameras and the reception radio wave information received from a set of radio wave sensors, and object information including object image information as information of an image of an object and object radio wave information as information about radio waves emitted by a radio communication terminal associated with the object, according to each set concerning the camera and the radio wave sensor associated with the camera thereof; outputs output information as information about a calculation result of the matching degree; and changes a weighting coefficient with respect to each of the photographic image information and the reception radio wave information, according to the set thereof.SELECTED DRAWING: Figure 1

The invention relates to a certificate photo skin color optimization method, system and device based on image perception, and relates to the technical field of image processing, and the method comprises the steps: carrying out the semantic analysis and extraction of a to-be-optimized certificate photo image through a semantic analysis model, obtaining deep semantic information, generating an optimization layer comprising a color layer and a color gradation layer according to the deep semantic information, and obtaining the color gradation layer; according to the deep semantic information, on the basis of the color layer and the color gradation layer, generating corresponding adjustment parameter information, performing skin color adjustment on the color layer according to adjustment parameters, and performing color gradation optimization adjustment on the color gradation layer according to the adjustment parameters to obtain an optimized target identification photo image. According to the method, complex features of image color distribution are extracted, the image is decomposed into a plurality of independent image layers, each image layer can be finely adjusted, the color accuracy, the contrast ratio and the overall visual effect are ensured, and the image optimization effect and optimization efficiency are improved.

The invention provides a device and a method for acquiring multi-point chromaticity coordinate values on the surface of a shot object, and mainly relates to the fields of color vision, colorimetry, color communication, image processing, computer control, deep learning, applied mathematics and the like. The problems that the multi-point chromaticity coordinate value of the surface of an existing shot object is difficult to measure, inaccurate in measurement and high in measurement cost are solved, and the multi-point chromaticity coordinate value of the surface of the shot object is calculated by obtaining a group photo image of the shot object and a color block group under the irradiation of different spectral distribution light sources.

The present application relates to an image generation method and apparatus, a device, and a storage medium. The image generation method comprises: in response to a target interaction operation, acquiring at least one portrait image, the portrait image comprising one or more target objects to be processed; determining a reference group photo image, the number of reference objects in the reference group photo image being the same as that of the target objects; on the basis of the portrait image, fusing the target objects to the reference objects in the reference group photo image to generate an initial group photo image; and on the basis of a target diffusion model corresponding to the target objects, adjusting at least one object feature of fused objects corresponding to the target objects in the initial group photo image, to generate a target group photo image, the target diffusion model being obtained by performing fine-tuning training on an initial diffusion model on the basis of image samples of the target objects.

An electronic device, a method and a computer program product provide techniques for automating self-image capturing, via a camera, when the device is in an always on camera mode. The method includes determining if a captured image stream contains a face of a user. In response to determining the image stream contains the face of the first user, the method includes determining whether an eye gaze direction of the user corresponds to a direction of the camera. In response to determining the user is looking towards the direction of the camera, the method includes determining if the electronic device is in an orientation that corresponds with the user taking a self-image. In response to determining the electronic device is in a selfie-taking orientation, while the user is looking towards the direction of the camera, the method includes autonomously capturing, via the camera, a self-photo image and storing the self-photo image.

In order to monitor operation situations of site resources at a construction site efficiently, a measuring system uses a surveying apparatus 100 including a camera and a position-determining function using laser light, and the measuring system includes a photographing means for continuously photographing construction machines 201 to 204 which are site resources for performing operations at a construction site by the camera, a recognizing means recognizing the site resources in photographed images obtained by the photographing, a tracking means for tracking the image of the site resources recognized in the multiple photographed images obtained by the continuous photographing, and a position-determining means collimating to the site resources which are objects for the tracking, and determining the positions of site resources by the position-determining function, in which the determining of positions is performed multiple times at intervals.

1. The name of the design product: children AI object recognition camera (C62). 2. The use of the design product: for taking photos, image recognition, encyclopedia, etc. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.