50 results about "Appearance based" patented technology

One example provides a computing device comprising a display device, a logic subsystem, and a memory subsystem. The memory subsystem comprises instructions that are executable by the logic subsystem to display a graphical airspace representing an airspace on the display device, and obtain one or more notice to air missions (NOTAMs) related to the airspace. The instructions are further executable to, for each NOTAM of the one or more NOTAMs, display a graphic overlay on the graphical airspace. The graphic overlay has an appearance based at least upon a determined status of the NOTAM.

The embodiment of the invention provides a video processing method, a video processing device, computer equipment and a computer storage medium, and relates to the technical field of video processing. The method comprises the following steps: acquiring a to-be-processed video, and performing target detection on the to-be-processed video based on a pre-configured neural network model to obtain a to-be-tracked object; based on the to-be-tracked object, a Kalman filtering prediction model is constructed in advance, so that the Kalman filtering prediction model predicts a target state vector of a next video frame according to an initial state vector of a historical video frame corresponding to a current video frame, and a motion track of the to-be-tracked object is obtained; and for a target to-be-tracked object in the to-be-tracked objects in the current video frame, according to a pre-trained deep learning appearance model, determining the appearance feature similarity between the target to-be-tracked object and other to-be-tracked objects, so as to perform matching tracking on the target to-be-tracked object based on the appearance feature similarity.

An image generation system may receive a source image including a source object having appearance features. The appearance features may include unique visual characteristics indicative of a visual identity of the source object. The image generation system may receive a target image including a target object having a target motion. The image generation system may generate, based on the appearance features and the target motion, a three-dimensional (3D) flow field indicative of spatial transformations between the appearance features and the target motion. The image generation system may warp, using the 3D flow field, the appearance features to generate a warped image including a warped object having warped appearance features that mimic the target motion and preserve the visual identity of the source object. The image generation system may provide the warped image as an output image.

Methods, systems, and apparatuses, among other things, may label and classify objects via appearance-based clustering for computer vision automatic target recognition (ATR) systems, including automated anomaly detection for objects appearing in an area of interest (AOI).

The present disclosure generally relates to methods and user interfaces for establishing communications. A computer system displays a user interface object corresponding to a communication with different appearances based on a respective state of a process for sending the communication.

Disclosed is a method, system and device for estimating the three-dimensional gaze direction of a human eye based on appearance. The method comprises: acquiring an image or video containing a face; performing face detection in the image or video frame, introducing a face key point detection algorithm to detect and locate the face key points; cutting out the face image and left and right eye images according to the face detection result and the positions of the key points; and estimating the three-dimensional gaze of the human eye in the image using a gaze estimation model, wherein the training process of the gaze estimation model comprises: using a Base-CNNs network to extract features of the face image to obtain a full-face image feature vector, using two asymmetric branch structures of an EE-Net network to extract features of the left and right eye images to obtain double-eye image feature vectors, estimating a head posture vector in combination with the face key point detection algorithm, and finally using a full connection layer to regress the full-face image feature vector, the double-eye image feature vector and the head posture vector for the final gaze estimation task.

The appearance of an object is evaluated using at least one of a single type of data and multiple types of data. [Solution] The information processing system inputs appearance data representing the appearance of an object into a first base model, which is a trained model capable of processing at least one of a single type of data and multiple types of data, thereby obtaining appearance base data output from the first base model. Based on the appearance base data, the information processing system obtains related data associated with the appearance base data from multiple base data stored in a database. The information processing system inputs the appearance base data and related data into a second base model, which is a trained model, thereby obtaining evaluation data representing the evaluation of the object's appearance, and outputs the evaluation data.

The present invention discloses a real-time medicine box recognition method and system based on deep learning, belonging to the field of medicine management technology. The method comprises the following steps: setting up a camera above the medicine box to collect image information of the medicine box's appearance; using a pre-trained medicine box recognition model based on Yolov5 to obtain medicine box edge and appearance-based medicine box recognition results; performing text detection using a pre-trained DBNet-based text detection model to obtain the area of the medicine box text; performing text recognition using a pre-trained DenseNet and CTC-based text recognition model to identify the text information of the medicine box; and performing a low-threshold fuzzy search and matching on each word or phrase in the text recognition result in turn in a medicine database. The present invention can effectively solve the problem of manual verification required when dispensing medicines in pharmacies. Moreover, the present method greatly ensures the accuracy of recognition and reduces the workload of pharmacy workers.

The invention provides an intelligent quality inspection system and method for a precast beam field, electronic equipment and a storage medium. The intelligent quality inspection system comprises a conveying and positioning subsystem, a detection subsystem and a control subsystem, wherein the conveying and positioning subsystem is used for conveying a to-be-detected prefabricated part to a detection station; the central processing unit is used for sending a detection task instruction, performing multi-dimensional comprehensive analysis processing based on an appearance quality identification result, a geometric dimension identification result and an internal defect identification result, and determining a comprehensive quality evaluation result; the appearance quality detection subsystem is used for carrying out appearance defect detection processing on the surface image information based on an artificial intelligence visual identification algorithm and determining an appearance quality identification result; the geometric dimension detection subsystem is used for performing dimension analysis on the actual geometric parameters to determine a geometric dimension identification result; and the internal defect detection subsystem is used for processing the internal structure information based on an internal defect analysis algorithm and determining an internal defect identification result. The quality inspection efficiency is greatly improved, and the efficiency bottleneck problem of traditional manual detection is solved.

The invention provides a navigation positioning method and device based on personalized digital human anatomical organ reconstruction, and the method comprises the steps: directly obtaining human body features from a human body image and / or a human body video stream through a deep learning network, and outputting target parameters of a skin multi-person linear model, and rapid and objective parameterization of the human body model based on the appearance data is realized. The first position of the target vertex in the first human body internal anatomical model can be quickly positioned based on the target parameter in combination with the first human body internal anatomical model, and the position is mapped to the second position of the human body image through spatial transformation of the virtual camera parameter, so that the target navigation positioning position is determined. In the process, the model parameters do not need to be manually and subjectively modified, the in-vivo organ structure is efficiently predicted according to the human body appearance image and / or the human body video stream, and the technical problems that in personalized human body three-dimensional anatomical structure reconstruction, model parameter adjustment depends on manpower, and prediction of the in-vivo structure based on appearance data is lacked are effectively solved.

The application relates to the technical field of robots, in particular to a lightweight topological map construction method for scene recognition, which comprises the following steps: collecting data and processing the data to obtain accumulated point cloud; extracting scene descriptors; calculating the similarity between the descriptors to generate topological nodes; and calculating an optimal topological map. The application describes a scene according to multi-frame point cloud data accumulated according to a robot running track, extracts a descriptor of the point cloud, and judges whether to generate a topological node according to the similarity of the descriptor; the application can guarantee effective construction of a lightweight topological map, is particularly suitable for the demand of large-range scene topological map construction, and compared with an appearance-based topological map construction method, the number of topological map nodes constructed by the application is greatly reduced, but the reliable scene recognition performance can still be guaranteed.

The present invention relates to the technical field of integrated circuit chip processing monitoring, and more specifically, to an intelligent processing monitoring system for integrated circuit chips. The system comprises: acquiring integrated circuit chip image data within a target area and processing data collected by sensors on a processing line; calculating a defect feature index for each sub-image; segmenting the defective areas of the integrated circuit chips in the sub-images based on the defect feature index; extracting features of the defective areas of the integrated circuit chips; identifying and analyzing the features of the defective areas to generate appearance monitoring analysis results; analyzing the processing data to generate non-appearance monitoring analysis results; and marking the integrated circuit chips within the target area based on the appearance monitoring analysis results and the non-appearance monitoring analysis results. The system is capable of rapidly identifying surface defects of the integrated circuit chips and promptly detecting abnormal changes in processing parameters, thereby improving the accuracy and efficiency of processing monitoring.

The disclosure provides an image repairing method and system combining edge information and appearance flow operation, the method comprising: preprocessing an obtained image to be repaired to obtain a smooth image; performing edge detection and prediction to obtain a target edge map; performing smooth structure reconstruction according to the smooth image and the target edge map to obtain reconstructed smooth structure; extracting the correlation between each region of the image to be repaired according to the reconstructed smooth structure, sampling features from the relevant regions based on the appearance flow operation to generate lively texture, and filling the features containing lively texture information to the damaged region of the image to be repaired to obtain a repaired complete image. The disclosure realizes the repair of the damaged image through the repair process from the edge to the smooth structure and then to the whole, combines the edge information and the appearance flow operation to perform three-stage image repair, can generate reasonable structure and real lively texture, and thus achieves good repair effect.

The invention relates to the technical field of image acquisition, in particular to a railway vehicle appearance image acquisition system and method and device.The system comprises a movable support, an image acquisition module and a control module, and the image acquisition module is arranged on the movable support and used for acquiring an appearance image of a target component of a railway vehicle; the movable bracket is in communication connection with the control module and is used for driving the image acquisition module to move to a position corresponding to a position moving instruction based on the position moving instruction issued by the control module; the control module is used for receiving an appearance image acquisition instruction, issued by a user, of the target component of the railway vehicle, and forming a position moving instruction based on the appearance image acquisition instruction, so that the image acquisition module can acquire an appearance image of the target component of the railway vehicle after the movable bracket moves to a position corresponding to the position moving instruction; the appearance image of the railway vehicle can be dynamically collected according to user requirements, and personalized and refined detection requirements are met.

The present application relates to the technical field of image processing, and discloses a gait recognition method, which captures appearance contour information from different angle positions by polar coordinate sampling at R different sampling angles, explicitly models contour structure in a polar coordinate system, makes up for the deficiency of traditional appearance-based methods in capturing structural features, and thus improves the robustness of gait recognition to appearance changes. Furthermore, the present application also performs multi-scale fusion on structural features of different sampling angles to suppress redundant information and enhance the stability and distinguishability of structural representation. In addition, the present application combines gait features with global information and local information on the final structural features obtained by polar coordinate sampling, maintains the robustness to appearance disturbance, and improves the sensitivity of the model to shape changes. The present application effectively alleviates the influence of view angle change, clothing change and carrying articles, and greatly improves the robustness of appearance contour modeling.

The invention relates to the technical field of PCB (Printed Circuit Board) detection, in particular to a method and a system for detecting the edge deviation of the appearance of a PCB based on a welding component. The polarization characteristic pattern is generated by acquiring the multi-spectral original image and the polarization state parameter of the to-be-detected area of the PCB, the reflection exposure abnormal area and the reflection exposure normal area can be effectively positioned, the fusion weight is automatically adjusted according to the spectral response characteristic of the signal area through the self-adaptive spectrum fusion enhancement technology, and the detection accuracy is improved. The problem that in a traditional method, image enhancement is not fine enough is solved, the adaptive fusion enhancement technology enables the multispectral image to better conform to the actual situation during enhancement, more detail information is reserved, key features can be accurately extracted by generating a semantic segmentation map and combining three-dimensional standard coordinate information, and the image enhancement accuracy is improved. The detection precision and reliability of the welding component and the appearance edge of the PCB are effectively improved, the deviation can be accurately positioned and quantified, and the quality control level in the production process of the PCB is improved.

A method for controlling production of color products includes receiving a reference image for a color product; producing a plurality of color products corresponding to the color product in the reference image; acquiring a plurality of images corresponding to the plurality of color products; determining whether an appearance defect exists for each of the plurality of color products by comparing each image of the plurality of images corresponding to the plurality of color products to the reference image; for each detected appearance defect, determining a severity of the appearance defect; generating a visualization of appearance defects on an image of the color product based on the severity of the appearance defect and a frequency of occurrence of the appearance defect; and adjusting production of the color product in response to the visualization of appearance defects to reduce the severity or frequency of occurrence of the appearance defect.

The present application relates to electronic product appearance defect detection technical field, specifically, relate to a kind of appearance defect detection system and method.The present application also provides a kind of appearance defect detection system, it is based on appearance defect detection equipment to carry out and be suitable for the appearance defect detection method described above;Appearance defect detection equipment includes equipment main body, equipment main body includes feeding end and discharging end, from feeding end to discharging end is sequentially arranged with feeding system, dust removal system, CG face array detection system, 2D and 3D combined CG face detection system, macro detection system, 2D and 3D combined BG face detection system and BG face array detection system.The equipment main body in the present application can preferably cover each area of detection object by single equipment, and different detection sites are detected by targeted system, so that the defective product detection rate can be improved, so as to ensure the quality of product.

A method for recognizing hand gestures when the hand is held in front of the user's upper body. The method detects primary features associated with the upper body, including features on the face (eyes and mouth, etc.) and the shoulder tips. The geometric relationships between these features are used to determine if the face / head has turned to the side relative to the shoulders. If not, the face-shoulder features are used to establish a face-shoulder coordinate system, and the hand image is transformed into this new coordinate system. This effectively defines the hand gestures relative to the user's face and shoulders, significantly reducing the size of the feature space for the hand gestures. This face-shoulder coordinate transformation can be combined with traditional appearance-based gesture recognition methods, or with traditional or hybrid deep neural networks for RGB or RGB-D images.

There is provided an information processing system including circuitry configured to determine whether or not each scene of a plurality of scenes of an event is an attention scene based on content data of the event, and initiate display of a specified scene of the plurality of scenes and an object in a virtual space based on the determination of whether the specified scene is an attention scene, the object being displayed as a first object having a first appearance based on a determination that the specified scene is an attention scene, and the object being displayed as a second object having a second appearance different from the first appearance based on a determination that the specified scene is not an attention scene.

We provide the system. [Solution] A means of acquiring images of the user using a video acquisition device, A means for identifying a face and extracting its appearance based on acquired image data, A means of presenting a style suitable for the user using an AI model via an information processing device, based on extracted appearance data, A means of virtually applying the presented style to an image in real time and providing it to the user using a display device, A means of presenting product information related to the selected style and providing a purchase interface, A means of providing an interface that enables users to make purchase decisions based on the presented virtual style, A system that includes this.

Proposed are a method and apparatus including real-time eye tracking and calibration functions in a kiosk including a display. The method may include collecting first data related to a user's appearance based on image data on the user acquired from a camera of the kiosk, and generating first screen coordinates of the display corresponding to the user's eyes based on the first data and performing eye tracking on the user. The method may also include collecting second data including second screen coordinates for a corresponding touch point detected when the user touches and selects a menu displayed on the display and training a calibration machine learning model using the collected second data, and performing inference on the calibration model using the first screen coordinates according to the eye tracking performed at a time other than the touch selection time point to perform calibration on the eye tracking.

An object of a system according to an embodiment is to predict the risk of appearance of bears and promptly notify residents of the risk.SOLUTION: A system includes an action analysis part, a prediction part, and a notification part. The behavior analysis unit analyzes a behavior pattern of the bear. The prediction unit predicts a risk of appearance of a bear on the basis of the behavior pattern of the bear analyzed by the behavior analysis unit. The notification unit notifies the resident of the risk of appearance of the dark circle predicted by the prediction unit.SELECTED DRAWING: Figure 1

A medical apparatus according to an exemplary embodiment includes processing circuitry configured to acquire appearance information about a target area to be observed during a procedure in surgical treatment on a subject, and change a display state of a captured medical image of the target area based on the appearance information.

The application provides a head pose estimation method and system, the method comprising: acquiring a two-dimensional face image to be recognized; performing face calibration on the two-dimensional face image to obtain a calibrated two-dimensional face image; acquiring face feature points on the calibrated two-dimensional face image; inputting the face feature points into a regression network to obtain a 6D rotation matrix, the regression network being a regression model based on 6D rotation representation; converting the 6D rotation matrix into a 3*3 rotation matrix according to orthogonal mapping; and converting the 3*3 rotation matrix into Euler angles, the Euler angles being used to represent the rotation angle of the head pose, so as to solve the problem that the recognition accuracy and robustness of the model-based pose estimation method and the appearance-based pose estimation method cannot be accurately represented at the same time.

Various implementations disclosed herein include devices, systems, and methods that updates state information for a portion of a user interface. For example, an example process may include obtaining a recording of an execution of an application within a three-dimensional (3D) environment. The recording may include 3D appearance information and state information for elements of the application at multiple instances in time. The process may further include presenting a user interface based on the recording where the user interface includes a visualization portion providing a visualization of the 3D appearance of the application based on the 3D appearance information and a state information portion. The process may further include receiving a selection of an element and identifying element-specific information corresponding to the element at a particular instance and updating the state information portion of the user interface based on the selection of the element and the element-specific state information.

A computer system displays one or more graphical elements representing a state associated with a user, including: displaying the one or more graphical elements at a first immersion level, at a first appearance, the first appearance based on a first set of one or more visual characteristics and the state associated with the user; and displaying, at a second immersion level, the one or more graphical elements in a second appearance, the second appearance based on a second set of one or more visual characteristics and a state associated with the user. In response to detecting that a first criterion for changing the current immersion level is satisfied, display of the one or more virtual elements is changed from the first immersion level to a second immersion level, and display of the one or more graphical elements having the first appearance is changed to a second appearance.

The invention relates to the technical field of image processing, and discloses an appearance feature extraction-based mandarin fish image grading processing method, which comprises the following steps of: constructing a water flow background motion reference optical flow field, obtaining an actual dynamic optical flow field of mandarin fish, generating an optical flow field residual error representing the dynamic state of a fish body through differential operation, according to the method, dynamic quantitative evaluation of vital signs is achieved by separating background motion from fish body micro-motion, the problem that a living body physiological signal cannot be captured through traditional static image analysis is solved, and meanwhile, in combination with illumination excitation response analysis, the real-time performance of the system is improved. A healthy dormant state and an endangered state can be accurately distinguished, and objectivity and accuracy of aquatic product grading are remarkably improved.

The invention discloses an intervention device full-process tracing and abnormity identification method based on RFID and image identification, and belongs to the technical field of medical device informatization management. The method comprises the following steps: allocating an RFID tag to an interventional device, and deploying a reader-writer and an image acquisition device in each link; generating appearance fingerprint information based on the appearance image; in warehousing, preoperative, intraoperative and postoperative links, by comparing appearance fingerprints, checking validity periods and analyzing positioning tracks and operator identities, verification results of all the links are obtained, and cross-link tracing data is formed; performing hierarchical processing on the data to obtain an identification result of the basic anomaly and the associated anomaly; and associating the traceability data and the abnormal result with the digital twin identifier, and storing the associated data and the associated result into a block chain. The method solves the technical problems that in the prior art, intervention equipment tracing information is isolated and tampered easily, equipment replacement cannot be recognized in a cross-link mode, and the use process is abnormal.

This application provides a method, apparatus, computer device, computer-readable storage medium, and computer program product for controlling the display of a virtual avatar, belonging to the field of computer technology. The method includes: receiving a gift-giving event targeting a target virtual avatar; generating a corresponding data object based on the gift-giving event, wherein the data object includes capability attribute information, which characterizes the effect of the gift-giving event on the appearance of the target virtual avatar; and outputting a control result for controlling the display of the target virtual avatar's appearance based on multiple data objects. The technical solution of this application can achieve the superposition, synergy, or enhanced expression of the effects of multiple gift-giving events on the appearance of the target virtual avatar, improving the gift-giving display effect.