36 results about "Face matching" patented technology

The Biometric Recognition and Transaction Engine Apparatuses, Processes and Systems (“BRTE”) transforms enrollment input, authentication input datastructure / inputs via BRTE components into enrollment output, authentication output outputs. A device identifying datastructure associated with a user's device is obtained. A device search is executed on a device graph database to determine a device record corresponding to the device and a device token is retrieved. A user identifying media datastructure structured as a media stream is obtained. A face print datastructure and a voice print datastructure are generated. A user seed identifying datastructure is obtained and analyzed to determine a user token. A set of face token records and a set of voice token records linked with the user token are determined. A face match score and a voice match score are determined and analyzed to authenticate the user. A login token indicating successful authentication is generated and provided for the device.

The application relates to the field of face recognition, in particular to a 5G recorder face recognition pre-filtering method and system, which comprises an image capturing module, a face feature extraction module, a face characteristic dimension reduction and normalization module, a face library module, a face filtering tree module, a face pre-filtering module, a face characteristic block module and a face hierarchical comparison module. The face feature filtering tree method is used to realize face matching pre-filtering of 5G recorders and other equipment. The face library is blocked according to normalized face characteristics, a hierarchical method is realized according to face feature matching strings for block matching, a matching face is found as much as possible, and the calculation amount of a server is reduced.

A notification system notifies users when there is a match between images. The notification system includes a network interface receiving images from a plurality of user devices including a first user device and a second user device, a memory storing database and instructions, and a processor. The processor executes the instructions to function as an image processing unit processing the received images, a face recognition unit recognizing one or more faces in each received image, a face matching unit checking whether a face in a first image from the first user device matches a face in a second image from the second user device, a metadata processing unit processing metadata in each received image, and a notification unit notifying the first user device and the second user device in a case where the face in the first image matches the face in the second image.

The application provides a pose matching method of a planar object, comprising: acquiring a point cloud of the planar object; extracting an edge point cloud based on the point cloud of the planar object; calculating edge vectors of the edge point cloud, wherein the edge vectors comprise a principal normal vector, a tangent vector or an edge normal vector; constructing a point pair feature vector set of any two points in the edge point cloud according to the principal normal vector, the tangent vector or the edge normal vector; and matching the point pair feature vector in the edge point cloud with a reference point pair feature vector set to obtain the pose of the planar object. The technical scheme of the application matches based on the edge normal, solves the problem that the matching of the planar object cannot be realized based on the face matching or the principal normal matching in the prior art, has high reliability and strong stability, and greatly improves the recognition accuracy and recognition efficiency of the planar object.

The application discloses a head reconstruction method based on generation and inverse rendering collaborative optimization, comprising the following steps: step 1, generating a corresponding binary mask; step 2, fitting a three-dimensional geometric grid of a face matched with an input person based on detected two-dimensional face key points to obtain a unified head coordinate system; step 3, projecting pixels of an input image to a UV space of the three-dimensional geometric grid of the face to form a defective texture with original illumination and self-occlusion; performing illumination regularization and an inverse rendering network to output a multi-channel PBR material map; step 4, generating a group of videos rotating around the head and camera internal and external parameters thereof, and cutting the videos into a multi-view hair image sequence and corresponding virtual camera parameters; step 5, performing multi-view hair reconstruction to obtain a hair geometry representation or equivalent geometry representation representing a three-dimensional structure of hair; and step 6, performing spatial alignment and combination to output a head PBR three-dimensional asset.

The invention discloses a face recognition system and method for construction site personnel training and on-duty dynamic verification, and the system comprises a video stream obtaining module which is used for obtaining an image frame sequence of construction site training; the human body detection module is used for obtaining each human body detection frame in each image frame and corresponding coordinate data; the tracking matching module is used for obtaining a tracking identifier of each human body detection frame; the first judgment module is used for judging whether the tracking identifier of each human body detection frame is a newly added tracking identifier or not; the face detection module is used for obtaining a face image quality score; the second judgment module is used for judging whether the face image quality score is greater than a set face image quality score threshold value or not; and the personnel verification module is used for carrying out face matching on the face images of the working site in the face images of the attributes of the training personnel on the construction site. According to the invention, association of constructor training and on-duty records is realized, identity verification is carried out during on-duty, and the safety guarantee level of a construction site is improved.

This application discloses a voice assistant wake-up method, device, equipment, and storage medium, relating to the field of voice control technology. The disclosed voice assistant wake-up method includes: extracting vibration features based on vibration signals; matching the vibration features with a preset action library to obtain action matching degree and action matching timing information; determining a face matching score and an interaction environment score based on cockpit image data when the action matching degree is greater than or equal to a preset action matching threshold and the action matching timing information meets the corresponding preset action timing conditions; determining a voice assistant wake-up score based on the action matching degree, face matching score, and interaction environment score; and generating a voice assistant wake-up control command when the voice assistant wake-up score is greater than a preset threshold to wake up the voice assistant. This solution can achieve low-power and accurate wake-up of intelligent voice assistants in new energy vehicles.

The present application provides an identity recognition method, device and equipment, and a storage medium, and relates to the technical field of biological recognition. The method comprises the following steps: obtaining a first face image and a first iris image of a first user; determining a plurality of first candidate identity identifiers of the first user and a face matching degree of each first candidate identity identifier with the first user according to the first face image; determining a plurality of second candidate identity identifiers of the first user and an iris matching degree of each second candidate identity identifier with the first user according to the first iris image; and determining a target identity identifier of the first user according to the plurality of first candidate identity identifiers, the plurality of second candidate identity identifiers, the face matching degree of each first candidate identity identifier with the first user, and the iris matching degree of each second candidate identity identifier with the first user. The method provided by the present application solves the problems of low recognition rate and low security when identity recognition is performed only by using face recognition.

A system of enhancing biometric analysis matching utilizes an image sensor, such as a digital camera, to capture an image of a face of a person. The system may perform image enhancement, such as edge and contrast enhancement, prior to performing face matching. The enhancement may be localized to a given image region based on determined region illumination. The system may perform image processing and analysis comprising face detection, alignment, feature extraction, and recognition. A biometric recognition confidence indicator may be generated using the results of the image enhancement and analysis. At least partly in response to the biometric recognition confidence indicator falling below a threshold enhancing recognition confidence using an image of visual indicia captured using the image sensor.

According to an embodiment of the present invention, a method for performing face recognition-based user authentication, the method being performed by a user terminal, may comprise the steps of: (a) capturing an image through a camera and recognizing a face of a user in the captured image; (b) providing a direction identifier at an random position in the image in consideration of the position of the recognized face in the image; (c) analyzing the captured image received in real time to determine whether a motion of the recognized face matches a command corresponding to the direction identifier; and (d) when it is determined that the motion of the recognized face corresponds to the command, changing the direction identifier, displaying same, and completing authentication, wherein at least one of the direction indicated by the direction identifier and the position at which the direction identifier is provided is randomly provided whenever authentication is performed.

A standalone digital display device that includes a visual sensor to capture images of a user's face and video scaler hardware controller executing a facial detection module to detect facial patterns of a user's face detected in front of the standalone digital display device in the captured images. The video scaler hardware controller to access the scaler storage device on the standalone display to determine if the detected facial patterns of the user's face match a facial pattern stored on the scaler storage device among a plurality of stored facial patterns. The video scaler hardware controller executes computer-readable program code of a profile bridging firmware module to, when a matching facial pattern is found, automatically apply user-selected on-screen display settings associated with the matched facial pattern independently from an operatively coupled information handling system to video data received from the operatively coupled information handling system for display of images.

The invention discloses a face feature recognition method and device based on multi-sensitive attribute privacy protection, and the device comprises a data receiving module which is used for receiving face data; the face image data preprocessing module is used for executing preprocessing operations such as alignment, cutting and standardization; the feature extraction module is used for performing feature extraction on the preprocessed face; the attribute extraction module is used for realizing privacy protection of sensitive attributes of the user face; the feature decoupling module is used for realizing that non-target attributes are not influenced when the target attributes are operated; the attribute decoding module is used for generating an image after privacy protection; the face matching module is used for keeping the identity recognition effectiveness of the face image after privacy protection; and the feature guiding module is used for realizing reversibility, that is, the generated image can be guided to generate an original image. And finally, the privacy protection device is deployed between the user and a third-party server, so that the user can protect the sensitive attribute privacy of the user while obtaining the corresponding service. The method can be widely applied to the field of privacy protection of face data.

The invention discloses a classroom attendance detection system and method based on intelligent identification, and relates to the technical field of classroom attendance detection. The classroom attendance detection method based on intelligent identification comprises the following steps: acquiring attendance image data in a set classroom, and performing target detection processing to obtain a plurality of student targets in the set classroom and corresponding area image data; analyzing the facial recognition confidence feature value of the corresponding student target, and judging whether the facial recognition confidence feature value is lower than a preset facial recognition confidence feature threshold value or not; if so, analyzing the posture matching ID of the corresponding student target based on a pre-trained posture recognition model; according to the method, attendance detection processing is carried out through the posture matching ID and the face matching ID of each student target, so that it is ensured that high recognition accuracy can be kept under the conditions of different illumination, postures and the like; therefore, the reliability of classroom attendance detection is obviously improved.

Embodiments of the present disclosure disclose a contact information generation method and a head-mounted display device. A specific implementation of the method comprises: controlling an image acquisition device to acquire a real scene image, and controlling a voice input device to acquire voice information; performing face detection processing on the real scene image to obtain at least one face detection information; determining to-be-recognized face feature information according to each face feature information included in the at least one face detection information; performing face matching processing on the to-be-recognized face feature information and a preset face feature information set to obtain matching result information; determining first contact information according to the matching result information; performing information extraction processing on each acquired voice information to obtain second contact information; and generating contact information according to the to-be-recognized face feature information, the first contact information and the second contact information. The implementation can improve the convenience of recording contact information and enhance the user experience.

A face recognition method, system and storage medium, comprising: acquiring video information and dividing it into several tracking segments; performing feature extraction on each frame in each tracking segment to obtain a face feature vector, obtaining the corresponding module length of all face feature vectors and comparing them, and selecting the video frame corresponding to the maximum module length as the face representation of the tracking segment; obtaining a set of simultaneously existing tracking segments and calculating the first similarity between the face representations of each tracking segment in each set of tracking segments; and performing face matching according to a preset face representation library and the first similarity and outputting a face recognition result. The present application can effectively eliminate the interference of low-quality face images in an unconstrained environment by combining face representation with the first similarity, thereby improving the accuracy of face recognition.

This disclosure relates to the field of artificial intelligence and provides a training method, a human face matching method, and an apparatus for a human face matching model. The method includes: extracting and fusing features from a training image set to obtain a fused feature map; inputting the fused feature map into a head network layer for training until a preset iteration termination condition is reached to obtain an initial human face matching model. The head network layer includes a human binary classification branch and multi-branch cells, where the multi-branch cells include a human bounding box regression branch, a face bounding box regression branch, and a face binary classification branch; inputting a test image set into the initial human face matching model and outputting prediction results; and determining the human binary classification threshold for the human binary classification branch and the human binary classification threshold for the face binary classification branch based on the prediction results and second annotation information to obtain the final human face matching model. The human face detection and matching of this invention has a short overall processing time and can achieve end-to-end human face matching with high matching accuracy.

The invention belongs to the technical field of welding operation management, and discloses a welding operation violation detection method for engineering intelligent supervision, and the method comprises the steps: processing a to-be-detected picture file containing a personnel welding operation scene in an intelligent construction site, obtaining the image information of a welding operation motion region of a real moving personnel, and carrying out the recognition of the welding operation violation of the personnel through a face matching algorithm; according to the welding violation alarm method and system, the ID information of the welding operation personnel is obtained, invoicing matching is carried out, whether the personnel have violation welding operation behaviors or not is judged, and therefore welding violation alarm is carried out on the violation welding operation behaviors, and the welding violation alarm method and system have the beneficial effects that 1, the fire accident risk caused by private automatic fire is effectively avoided; 2, the identity of an operator can be confirmed, the accuracy of illegal behavior detection is remarkably improved, and false alarm and missing alarm are reduced; and 3, the investment of manpower and material resources is reduced, illegal behaviors can be automatically identified, an alarm can be given, and the operation cost is reduced while the supervision efficiency is improved. And 4, the safety management level of the construction site is effectively improved.

A face image recognition method, device, equipment and medium are disclosed. The method comprises: obtaining a face standardized image of a recognition object according to an original collection image of the recognition object; generating a first single-scale feature map according to the face standardized image, and obtaining a depth map and an ROI mask map of the face of the recognition object according to the first single-scale feature map; generating a second single-scale feature map according to the face standardized image, and generating a third single-scale feature map according to the depth map; obtaining a face feature mask according to the ROI mask map, and obtaining a target feature vector of the recognition object according to the second single-scale feature map, the third single-scale feature map and the face feature mask; matching the target feature vector with template feature vectors of each reference object in a template library, and determining a target reference object matched with the recognition object according to a matching result. The above technical solution can improve the face matching accuracy and realize high-precision face recognition.

The invention discloses an access control abnormal behavior early warning system and method based on a neural network, and relates to the technical field of abnormal behavior early warning, and the method comprises the steps: deploying a plurality of monitoring cameras in a management and control place, obtaining a moving object in a monitoring video, and extracting a key video frame in the current monitoring video; acquiring a face image of a moving object in the key video frame, and performing face matching to obtain a current marked object; and frame-selecting an ROI region in the alarm video and a key point region of an alarm object, establishing and training a neural network model, tracking and positioning a marked object, and realizing abnormal behavior early warning of a management and control place. According to the invention, through fusion of the access control system, analysis of the management and control place and integration of object information and historical alarm records, automatic identification and accurate determination of abnormal behaviors are realized, the workload of inspection personnel is greatly reduced, the intelligent level of the access control security and protection system is improved, and the safety management efficiency of the management and control place is improved.

A system and method for identity recognition by means of smart glasses, and a smart mobile terminal, wherein the system comprises: smart glasses, a smart mobile terminal connected to the smart glasses, and a cloud server configured with a large language model; the smart glasses control a camera to photograph a person in front of a user, and send a resulting captured image and a first voice instruction of the user to the smart mobile terminal; the smart mobile terminal performs face matching between the image and a photo of a contact in an album and address book, and inputs into the large language model contact data information and first prompt information of a target contact corresponding to a matched photo; and the large language model generates a first voice response according to the contact data information and the first prompt information, and sends, by means of the smart mobile terminal, the first voice response to the smart glasses for playback. The described system and method for identity recognition by means of the smart glasses, and the smart mobile terminal, expand the functionality of smart glasses, and improve the ease of use by users.

The invention discloses a shared culture and education article borrowing and returning device and method based on face recognition, and belongs to the technical field of face recognition. The implementation method of the invention comprises the following steps: 1, constructing a face and cultural and educational article classification image data set; 2, constructing a face recognition model based on the MOE architecture; extracting face preliminary features and inputting the face preliminary features into an expert neural network, fusing the features through a routing gating network, optimizing the features by using Arc loss and L2 norm quality loss, and performing face matching verification by using cosine similarity; 3, a fine-grained image classification model based on the OfficientNet is constructed; fusing deep and shallow layer features by using an attention mechanism and a multi-scale feature fusion layer; the classification recognition result is judged through the confidence coefficient; 4, matching verification is carried out through an MOE framework face recognition model, an OfficientNet fine-grained classification model is called to judge the class of the cultural and educational supplies, recognition operation is completed, and borrowing and returning logs are registered; compared with the prior art, the technical problem of shared borrowing and returning of similar or homogeneous culture and education supplies is solved.

When there is a match between the images, the notification system notifies the user. The notification system includes a network interface to receive images from a plurality of user devices including a first user device and a second user device, a memory to store a database and instructions, and a processor. The processor executes instructions to function as: an image processing unit that processes a received image; a face recognition unit that recognizes one or more faces in each of the received images; a face matching unit that checks whether a face in the first image from the first user device matches a face in the second image from the second user device; a metadata processing unit that processes metadata in each of the received images; and a notification unit that notifies the first user device and the second user device in a case where the face in the first image matches the face in the second image.

Various embodiments of the present invention may comprise: a display (160); a memory (130) storing instructions; and a processor (120). The instructions, when executed by the processor, may instruct the electronic device (101) to: identify a plurality of objects included in an image displayed on the display; extract metadata of the image; identify a subject of the image on the basis of the plurality of objects and the metadata; determine, from among the plurality of objects, a first object that does not correspond to the identified subject; if the first object is a person, perform face recognition on the person; search whether a person image matching the face-recognized person is stored in the memory or a server connected to the electronic device; identify, on the basis of the searched person image, a reference image having a facial expression corresponding to the identified subject; generate a prompt on the basis of the image, the identified subject, and the identified reference image; generate a second object for replacing the first object on the basis of the generated prompt; and display the generated second object. Various embodiments are possible.

This application provides a face recognition method, electronic device, and storage medium. The method includes: acquiring a face reference image of a target object and a preset face reference image of a preset object; determining an enhanced image set based on the preset face reference image; determining an envelope sampling point set of the preset face reference image based on the enhanced image set; and performing face matching on the target object and the preset object based on the face reference image and the envelope sampling point set to obtain a matching result. This application solves the technical problem in the prior art where the accuracy of face recognition is low when the face is in a complex lighting environment or when the face is occluded.

A system and method are provided for automatically extracting image data of a driver's face when a driver sits in a driver's seat and then starting an engine of a vehicle, based on determining whether the extracted face matches a pre-registered face, and automatically controlling a vehicle environment based on the matched face data, thereby maximizing the convenience of using the vehicle.

The embodiment of the invention discloses a vehicle awakening method and device, electronic equipment and a computer readable storage medium, and relates to the technical field of voice recognition. The method comprises the following steps: monitoring an environment audio, and when the environment audio comprises a wake-up word audio, carrying out sound source localization on the wake-up word audio; when the wake-up word audio comes from the outside of the vehicle, obtaining a target voiceprint feature of the wake-up word audio; obtaining a user voiceprint feature, and obtaining the similarity between the user voiceprint feature and the target voiceprint feature; when the similarity is greater than a similarity threshold value, acquiring a sound source image based on a camera outside the vehicle; acquiring a user image, and performing face matching based on the user image and the sound source image; and when the face matching is passed, vehicle wakeup is carried out. In this way, the vehicle can be awakened safely and accurately.