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278 results about "Face perception" patented technology
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Face perception is an individual's understanding and interpretation of the face, particularly the human face, especially in relation to the associated information processing in the brain. The proportions and expressions of the human face are important to identify origin, emotional tendencies, health qualities, and some social information. From birth, faces are important in the individual's social interaction. Face perceptions are very complex as the recognition of facial expressions involves extensive and diverse areas in the brain. Sometimes, damaged parts of the brain can cause specific impairments in understanding faces or prosopagnosia.
Face recognition method and device, electronic equipment and medium
The invention provides a face recognition method and device, electronic equipment and a medium, and the method comprises the steps: processing a scaled to-be-recognized face image through a face detection model, and determining the coordinates of a face region and a plurality of key points in the original to-be-recognized face image based on the recognition result of the face detection model; based on the coordinates of the plurality of key points in the to-be-recognized face image and the coordinates of the plurality of key points in a preset face template, aligning a face region in the to-be-recognized face image to the preset face template, and outputting an aligned face image of a preset size; processing the aligned face image through a face recognition model comprising a down-sampling module, and generating a target face feature of the face image to be recognized; the user information of the target user corresponding to the to-be-recognized face image is determined based on the similarity between the target face feature of the to-be-recognized face image and the feature vector of the user in the database, so that the calculation amount in the face recognition process is reduced, and the accuracy and precision are both considered.
Owner:BEIJING TRICOLOR TECH
Emotion rehabilitation intervention method based on face recognition
PendingCN121583462AMedical data miningBiological modelsPhysical medicine and rehabilitationRehabilitation interventions
The invention discloses an emotion rehabilitation intervention method based on face recognition. The method comprises the steps that S1, a user face image sequence is collected through a front camera; s2, performing image preprocessing to generate a standardized image tensor set; s3, facial dynamic features are extracted through an improved BiFormer network, emotional states are recognized, and a multi-dimensional emotional state sequence and a facial expression coding sequence are generated; s4, jointly analyzing the emotion change trend and the expression behavior mode of the user through a multi-mode RETNet network, and outputting a psychological state grade and a future emotion fluctuation score sequence of the user; s5, matching an emotion rehabilitation intervention strategy through a preset rule engine; s6, executing the emotion rehabilitation intervention strategy, collecting user data in real time, and generating a user response scoring sequence; and S7, performing incremental updating on the multi-modal RETNet network and a preset rule engine based on the user response score sequence. According to the invention, the accuracy of emotional state recognition and the intelligent level of intervention strategy pushing are improved.
Owner:HEBEI SANYI INFORMATION TECHNOLOGY CO LTD
Three-dimensional tracking scanner with face recognition safety system and control method
PendingCN121095998ASpoof detectionNeural learning methodsComputer graphics (images)Identity recognition
The invention provides a three-dimensional tracking scanner with a face recognition safety system and a control method. The three-dimensional tracking type scanner comprises a scanner body; the face recognition module is connected with the scanner body and comprises a binocular camera assembly which is used for responding to the situation that an object approaches the three-dimensional tracking type scanner and synchronously collecting left and right images of the object; the binocular reconstruction unit is used for establishing a three-dimensional grid model of a human face according to the left and right images when the detected object is the human face; the living body detection unit is used for carrying out living body detection on the human face by adopting a multiple detection mechanism based on the three-dimensional grid model; the face recognition unit is used for performing identity recognition on the user corresponding to the face under the condition that the living body detection is passed; and the control management system is connected with the face recognition module, and the control management system is used for allowing the user to execute an operation matched with the permission of the target identity on the scanner body under the condition that the identity of the user is the target identity.
Owner:HANGZHOU INSVISION TECH CO LTD
Coding and decoding three-dimensional face recognition method and system based on frequency characteristic assistance
PendingCN121033906ABiological modelsThree-dimensional object recognitionPattern recognitionSkin texture
The invention provides a coding and decoding three-dimensional face recognition method and system based on frequency feature assistance, and belongs to the technical field of face recognition. And processing the acquired to-be-recognized face image by using a pre-trained recognition model to obtain a three-dimensional face depth map. According to the method, a coding and decoding network is utilized, a multi-scale encoder structure is adopted, hierarchical features of a face depth map are extracted in a gradual down-sampling process, and key geometric information including skin textures and five sense organ contours is effectively reserved; in the decoding stage, the network selectively fuses features of different levels through jump connection and an attention mechanism, so that redundancy is remarkably reduced, and the efficiency of the face depth map is improved; dynamically selecting the frequency characteristics by adopting an attention mechanism, and selecting the frequency characteristics with relatively large information amount so as to enhance the denoising capability; and coding features and decoding features are effectively fused, so that the feature refining effect is improved.
Owner:BEIJING UNIV OF POSTS & TELECOMM
Face recognition access control method and system in intelligent security system
The invention relates to the technical field of intelligent security and protection, in particular to a face recognition access control method and system in an intelligent security and protection system. The method comprises the following steps: sensing an illumination condition through an ambient light sensor and adaptively selecting an image enhancement algorithm to pre-process a face image; after features are extracted, similarity comparison with a database template is carried out; meanwhile, multi-mode living body identification integrating action instructions and near-infrared detection is carried out; and the multi-dimensional access authority of the user is dynamically inquired and verified in the identification process. The system comprises an image acquisition module, an environment perception module, a central processing module, a living body detection module, a dynamic authority management module, an access control module and the like. According to the invention, the recognition rate under complex illumination is effectively improved, the anti-counterfeiting capability of the system is enhanced, and the intelligent dynamic management of the access authority is realized.
Owner:FUJIAN YIAN INFORMATION TECH CO LTD
Electrical stimulation task processing method and device and terminal equipment
ActiveCN121176882AMechanical/radiation/invasive therapiesDevices for locating reflex pointsFace detectionElectro stimulation
The invention provides an electrical stimulation task processing method and device and terminal equipment, and the method comprises the steps: inputting a collected user face image into a pre-trained face detection model for face recognition, and obtaining a face region recognition result; inputting the face region recognition result into a pre-trained key point recognition model for key point detection to obtain a face key point recognition result; constructing a face feature coordinate system based on the face key point recognition result, and mapping the face acupoints to the face feature coordinate system in combination with a preset mapping rule to obtain a user face acupoint positioning result; performing acupoint impedance detection according to a user face acupoint positioning result, calling a corresponding electrical stimulation waveform according to an electrical stimulation task initiated by the user when the acupoint impedance detection result is passed, and executing the electrical stimulation task based on the electrical stimulation waveform. According to the invention, the alignment accuracy and the treatment effectiveness of the TENS equipment in the use process can be improved.
Owner:CHENGDU UNIV OF TRADITIONAL CHINESE MEDICINE
Facial emotion analysis method and system based on multi-modal alignment training
The invention relates to the technical field of face recognition, and discloses a multi-modal alignment training-based face sentiment analysis method and system, and the method comprises the steps: obtaining multi-source data, carrying out the preprocessing of the multi-source data, obtaining a training set, constructing a basic model for the face sentiment analysis, selecting a sample with an inference text to generate a small number of high-quality sentiment analysis samples, and carrying out the recognition of the high-quality sentiment analysis samples; supervising and finely adjusting the model; selecting a sample with a facial action unit label and an emotion label, and performing reinforcement learning training on the model in combination with the predicted accuracy of the facial action unit label, the emotion label and the reasoning text; and training the basic model by using the training set, expanding the original training set by using the output of the trained basic model to obtain a new training set, continuously training the model, stopping training until a preset condition is met to obtain a final basic model, and performing facial sentiment analysis by using the final basic model. According to the method, illusion can be controlled, the accuracy of a facial emotion analysis result is improved, and the data set construction cost is reduced.
Owner:SUZHOU UNIV
Face recognition intelligent footpath terminal system applied to scenic spot
The invention relates to the technical field of computer vision, in particular to a face recognition intelligent footpath terminal system applied to a scenic spot, which comprises a face image acquisition module, a feature point positioning module, a vertical motion analysis module, an energy consumption judgment module and a data communication module. According to the method, a time sequence vertical velocity difference and vertical kinetic energy quantification model is constructed through the displacement of the eyebrow arch key points in the continuous image, and movement intensity periodic data is formed by continuous displacement change, acceleration amplitude and duration, so that the local fine movement of the face is stably analyzed; dynamic behavior characteristics are kept in differential expression in illumination fluctuation and attitude change environments, so that the system obtains higher dynamic judgment consistency in a complex footpath scene, the accuracy and continuity of passenger flow recognition and behavior statistics are enhanced, uploaded data have clearer motion quantification significance and reliability, and the system is more suitable for popularization and application. And the problems of statistical offset and judgment lag caused by dynamic environment interference are improved.
Owner:济南天下第一泉风景区服务中心
Face recognition access control management method and system for smart community
PendingCN121564529ACharacter and pattern recognitionIndividual entry/exit registersFacial anatomyEngineering
The invention provides a face recognition access control management method and system for a smart community. The method comprises the following steps: constructing a face illumination quality evaluation model to recognize an abnormal area, performing repair by adopting a multi-stage compensation mechanism, and constructing a face feature density field to recognize a sensitive area; dynamically calculating the grid size of each area of the face; extracting texture, shape and semantic features of various scales in the re-divided grids, and calculating a feature contribution value of each grid unit; and constructing a multi-modal input tensor, inputting the multi-modal input tensor to the multi-branch convolutional neural network for training, establishing a closed-loop updating mechanism based on data generated during operation of the access control system, and continuously optimizing the convolutional neural network and parameters of the previous steps. According to the method, the output quality is ensured through multi-dimensional verification, including feature point spatial distribution rationality inspection, density field continuity verification and sensitive area and facial anatomical structure consistency inspection, and the accuracy and reliability of an identification result are effectively guaranteed.
Owner:ANHUI SHENFUSHI INTELLIGENT CONTROL SYST CO LTD
Method and device for multi-DNN-based face recognition using parallel-processing pipelines
Owner:SEOUL NATIONAL UNIVERSITY R&DB FOUNDATION
Method of masked face recognition by artificial intelligence technology
The present invention provides a method of masked face recognition from images by artificial intelligence technology including four steps: step 1: generating the images of face wearing a mask; step 2: training a deep learning model for face detection while wearing a mask; step 3: training the deep learning model for face feature extraction while wearing a mask; step 4: building a full pipeline of masked face recognition from images using the trained models from step 2, step 3, and some post-processing algorithms. The method aims to improve the accuracy of identity verification in the context of wearing masks has become popular and compulsory in life.
Owner:VIETTEL GRP
Classroom attendance checking method based on multi-source data fusion
PendingCN121921857ARegistering/indicating time of eventsData processing applicationsEngineeringFeature data
The embodiment of the invention provides a classroom attendance checking method based on multi-source data fusion, and the method comprises the steps: obtaining a face confidence coefficient, a seat occupation confidence coefficient and a clock-in confidence coefficient corresponding to each student identifier in a preset time window, the face confidence is used for representing the matching degree of feature data obtained based on the face image and pre-stored feature data; the seat occupancy confidence is used for representing an overlapping degree between a target space area obtained based on the face image and a pre-stored target seat area; the clock-in confidence is used for representing the effective probability of clock-in; performing weighted summation on the face recognition confidence coefficient, the seat occupation confidence coefficient and the card punching confidence coefficient of the target student identifier to obtain the attendance confidence coefficient of the target student; and the real-time attendance state of the target student is output based on the attendance confidence of the target student, and the real-time attendance state at least comprises class arrival, non-class arrival and abnormal recheck.
Owner:TRAINING CENT OF STATE GRID XINJIANG ELECTRIC POWER CO LTD
Glasses system for facial privacy protection
The invention relates to the technical field of personal privacy protection, in particular to a glasses system for face privacy protection. The system comprises a glasses body and a bearing and pattern presenting component. The physical shell is detachably mounted on the spectacle frame and printed with a cured pattern, the first display module is arranged on the outer surface of the spectacle frame, and the second display module is arranged on the outer side of the lens. Wherein the presented antagonistic interference pattern is generated by a pattern generation module through a joint optimization algorithm, the algorithm takes minimization of the feature similarity of the face recognition model as an antagonistic loss target and takes an approximate preset style image feature as a style loss target, and displayable constraints can be added to ensure the physical realizability of the pattern. According to the invention, by presenting the specific optimized pattern in the key area of the glasses, the face recognition of an external camera can be effectively resisted in a non-interference manner, and the privacy is guaranteed while the beauty and practicability are achieved.
Owner:START BEIDOU (SHENZHEN) TECHNOLOGY CO LTD
A smart terminal system that changes interface skins according to environmental changes
This invention discloses an intelligent terminal system that changes the interface skin according to environmental changes, relating to the field of communication technology. The system includes the following steps: acquiring the driver's gender information and determining the main color scheme of the interface based on the gender information; collecting the driver's facial emotions and generating a face recognition result; collecting the brightness value inside the bus and comparing the brightness value with a set threshold to obtain the current brightness level; acquiring the current location information of the bus and connecting to a server to obtain the current weather conditions based on the location information; comprehensively analyzing the obtained data and searching and configuring it with an interface database, outputting the configured result, and changing the current interface skin to the updated interface skin to complete the skin change; judging the driver's emotional state based on the skin change result and providing reminders to the driver accordingly. This invention not only changes the traditional impression left by in-vehicle terminal devices on customers but also improves vehicle driving safety and enhances user satisfaction.
Owner:BEIJING CIC TECH CO LTD
Multi-task face sensing method and device, electronic equipment, storage medium and computer program product
PendingCN121963277Aeffective supervisionGood guiding effectBiological modelsAcquiring/recognising facial featuresPerception modelEngineering
The invention relates to a multi-task face sensing method and device, electronic equipment, a storage medium and a computer program product. The multi-task face sensing method comprises the steps that a to-be-detected face picture is acquired; a to-be-detected face picture is input into the multi-task face perception model, face features and positioning reference points are extracted from the face picture through the multi-task face perception model, and the positioning reference points are used for executing a positioning task about face key point detection; semantic reference points are calculated based on the positioning reference points through a multi-task face perception model, and the semantic reference points are used for executing semantic tasks about face state detection; and executing a positioning task and a semantic task based on the face features, the positioning reference points and the semantic reference points through a multi-task face perception model. Therefore, by explicitly utilizing the physical representation of the face key points, effective supervision for the semantic reference points is realized, the guiding effect of the face key points on the face perception task is enhanced, and the prediction effect of the face perception model can be improved.
Owner:SAMSUNG (CHINA) SEMICONDUCTOR CO LTD +1
Sperm bank identity verification system and method based on face recognition
ActiveCN120014681BImprove identity verification accuracysmall amount of calculationCharacter and pattern recognitionBiological modelsIdentity recognitionEngineering
The application discloses a sperm bank identity verification system and method based on face recognition, and belongs to the technical field of information management. The sperm bank identity verification system and method solve the problem that the three-dimensional face recognition device of the existing system cannot complete identity verification under different angles and postures, and delay the system recognition speed and user waiting time. The method comprises the following steps: collecting facial feature information in real time, executing an identity recognition model, and identifying and analyzing the facial feature information by taking the sperm bank associated personnel information as prior information. The identity recognition model is iteratively trained by a training set and a test set, the facial feature information is identified and analyzed by taking the sperm bank associated personnel information as prior information, the feature attention of the facial feature information under multiple visual angles and postures is analyzed by taking the sperm bank associated personnel information as prior information without affecting the verification accuracy, the sperm bank identity verification accuracy is improved, and the model calculation amount is reduced.
Owner:THE FIRST AFFILIATED HOSPITAL OF ANHUI MEDICAL UNIV
Deep pseudo detection method and device based on feature decoupling and double-branch enhancement
The embodiment of the invention provides a deep false detection method and device based on feature decoupling and double-branch enhancement, and the method comprises the steps: extracting a real identity feature of a to-be-detected face image through a pre-training face recognition model of freezing parameters, inputting a to-be-detected face image into a trainable deep learning network, extracting an identity correlation component and a counterfeit correlation component at the same time, constraining the identity correlation component to approach a real identity feature, and constraining the counterfeit correlation component to be orthogonal or low-correlated with the identity correlation component in a feature space at the same time; and inputting the constrained counterfeited related component into a double-branch counterfeited enhancement module for feature enhancement, and performing counterfeited detection through the enhanced counterfeited enhancement feature to obtain a detection result, thereby improving the precision of deep-false detection.
Owner:BEIJING HISIGN TECH
Face recognition method and device in presence of occlusion
The present disclosure relates to the technical field of face recognition, and provides a face recognition method and device in the presence of occlusion. The method comprises: acquiring a base data set, wherein the base data set contains multiple base pictures; generating an occlusion for each base picture to obtain an occluded picture corresponding to each base picture; when a face picture to be recognized is detected, extracting a first feature of the face picture, a second feature of each base picture, and a third feature of the occluded picture corresponding to each base picture by using a face recognition model; calculating the similarity of the first feature and the second feature of each base picture and the third feature of the occluded picture corresponding to the base picture respectively; determining a target base picture with the highest similarity to the face picture according to the similarity of the first feature and the second feature of each base picture and the third feature of the occluded picture corresponding to the base picture, and recognizing the face picture as a target object corresponding to the target base picture.
Owner:BEIJING LONGZHI DIGITAL TECH CO LTD
Face recognition method, apparatus and electronic device
The application provides a face recognition method and device and electronic equipment, and relates to the technical field of image processing. The method comprises the following steps: inputting a first image collected for a target scene into a face recognition model; in the case that the number of faces in a first face recognition result obtained is equal to the number of identifiable faces of the face recognition model, occluding the faces in images collected after the first image based on the first face recognition result, inputting the occluded images into the face recognition model, and repeating the above steps until the number of faces in the face recognition result of the occluded images is less than the number of identifiable faces; and determining a face recognition result of the target scene based on the first face recognition result and each face recognition result after occlusion. The technical scheme of the application can solve the problem of face missing detection without improving the recognition specification of the existing face recognition model, so that the faces in a dense crowd scene can be better recognized.
Owner:JINAN YUSHI INTELLIGENT TECH CO LTD
METHOD AND DEVICE FOR TRAINING A NEURAL NETWORK AND FOR FACE RECOGNITION, AS WELL AS DEVICE AND STORAGE MEDIUM
Owner:BIGO TECH PTE LTD
Face recognition methods, devices, systems, and storage media based on element detection.
ActiveCN116189270BCharacter and pattern recognitionEnergy efficient computingFeature setSingle image
This invention provides a face recognition method, device, system, and storage medium based on feature detection. The method includes: acquiring image data; inputting the image data into a face recognition model to identify several facial feature information; the face recognition model includes an encoding / decoding deep learning neural network and a predictive feature neural network; filtering identical facial feature information through an IOU module; classifying target features through a candidate box classification module, aggregating each facial feature information element and its related target elements into a feature set and assigning a unique code to each feature set; filtering each feature set through the IOU module; inputting each feature set into a logic judgment module for occlusion judgment, obtaining a mapping between the code and the occlusion judgment result; and outputting the face recognition result. This invention supports simultaneous recognition of multiple faces occluded in a single image, meets the real-time requirements of face recognition, and offers high accuracy and stronger robustness.
Owner:CHINA GUANGFA BANK
A face forgery detection method and system based on spatio-temporal hypergraph
ActiveCN120318889BCharacter and pattern recognitionMachine learningImaging processingFeature extraction
The application discloses the technical field of image processing and relates to a face forgery detection method and system based on a hypergraph of a hyperbolic space-time, and aims to solve the problem that the prior art is difficult to capture the internal feature connection of a face structure. The method comprises the following steps: inputting a face video to be detected for authenticity into a trained face forgery detection model; performing feature extraction on the face video to be detected for authenticity through a face feature partition extraction module to obtain face local features; constructing a space-time hypergraph through a space-time node hypergraph construction module according to the face local features; performing semantic classification feature extraction on the space-time hypergraph through a hyperbolic hypergraph learning module to obtain classification features; and inputting the classification features into a classifier to obtain a detection result of true or false. The application can realize face forgery detection with high accuracy and strong generalization, and can be widely applied to the fields of security and finance, thereby providing reliable protection for related face recognition applications.
Owner:NANJING UNIV OF POSTS & TELECOMM
Blood pressure measurement quality control method and device based on artificial intelligence image recognition, terminal and medium
ActiveCN115410244BEvaluation of blood vesselsCharacter and pattern recognitionPattern recognitionMedicine
This application provides a blood pressure measurement quality control method, device, terminal, and medium based on artificial intelligence image recognition. The invention uses facial recognition technology to store the facial information of subjects undergoing their first standardized blood pressure measurement. Before subsequent standardized blood pressure monitoring and follow-up, subjects can automatically log into the system via facial recognition. The invention also uses artificial intelligence image recognition and processing technology to perform quality control on subjects undergoing standardized blood pressure measurements, ensuring standardized measurement posture and effectively reducing measurement errors. Furthermore, if inaccurate posture is detected during blood pressure measurement, the invention will promptly remind the subject to adjust their posture through various means (such as voice, screen display, or flashing warning lights). Further, the invention matches a large amount of standardized blood pressure measurement data with facial information, which can be used to analyze and identify the facial features of hypertensive patients, thereby providing new clinical diagnostic and treatment evidence for hypertension.
Owner:SHANGHAI MUNICIPAL CENT FOR DISEASE CONTROL & PREVENTION
Management system and method of intelligent hazardous chemical substance management cabinet based on face recognition
The invention provides a management system and method of a hazardous chemical substance intelligent management cabinet based on face recognition, and relates to the technical field of hazardous chemical substance management.A face image of a user is collected through a face image collection module, the quality of a target drug is collected in real time through a quality detection module, and the quality difference value of the target drug is calculated; and the human face image and the quality difference value are sent to the data updating module of the cloud, so that the human face image is detected, the quality of the target medicine is updated, and the human face detection result and the quality of the target medicine are stored, and therefore, the quality of the medicine can be updated in real time, and the user experience is improved. Meanwhile, the user who uses the medicine last time can be recorded, so that the use of the medicine is more standard.
Owner:SHENYANG AEROSPACE UNIVERSITY
Multi-modal data based multi-task intelligent robot
The application discloses a kind of multi-task wisdom robots based on multi-modal data, comprising: personalized interaction module obtains scene image and obtains face image by face recognition, and judge whether it is student, if yes, the identity information of student is obtained, and corresponding historical data is obtained;Face expression extraction is carried out based on face image and generates face label and conversation theme in combination with historical behavior data;Conversation content is generated based on face label, conversation theme and historical data, whether student is in speaking state is judged, if yes, conversation is stopped, and new conversation content is generated;Multi-task module pre-set task mode, regional function and schedule, obtain current time and current location, obtain current task mode and collect student dynamic data, generate evaluation report based on multi-task data, at least including student dynamic data and historical data.The efficient and personalized conversation and multi-task service with student are realized by the application.
Owner:ZHEJIANG READ TECH CO LTD
5g recorder face recognition front filter method and system
ActiveCN116524561Bsmall amount of calculationCharacter and pattern recognitionEnergy efficient computingEngineeringImage capture
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.
Owner:DEEP BLUE PERCEPTION (HANGZHOU) IOT TECH CO LTD
Face recognition self-service dining system and method
The invention relates to the field of face recognition, payment verification and self-service, in particular to a face recognition self-service dining system and method. Comprising an image acquisition module, a data processing module, a payment verification module, an environment perception module, a control execution module and the like, is provided with a dual-spectrum camera, a ToF depth sensor, a TensorRT acceleration engine, a payment interface and the like, and adopts various algorithms and technologies, such as a face detection algorithm based on an improved RetinaFace network, a living body detection algorithm and the like. An edge-cloud collaborative architecture is adopted; the invention further comprises a dining method suitable for the system. The dining method comprises the steps of multispectral face image acquisition, face area detection, feature vector extraction, federal learning matching and the like. According to the method, the effects of realizing a face recognition self-service dining function, accurately acquiring face images in different environments, performing face detection and living body detection, effectively processing mask shielding conditions, ensuring payment safety and improving dining efficiency and accuracy are achieved.
Owner:ZHEJIANG XIAOLIAN INFORMATION TECH CO LTD
Methods, models, devices, and equipment for recognizing synthetic mouth-shaped faces.
ActiveCN115223214BRaise vigilanceGuaranteed accuracyCharacter and pattern recognitionMedicineSample image
This disclosure relates to the field of artificial intelligence technology, and provides a method, model acquisition method, apparatus, and device for recognizing synthetic lip-sync faces. The method includes: detecting facial feature points in a sample image to obtain first facial feature data; inputting the first facial feature data and audio feature data to be synthesized into a pre-trained speech-to-lip synthesis model, and determining second facial feature data based on the output of the speech-to-lip synthesis model; training a classification model based on the first and second facial feature data to obtain a synthetic lip-sync face recognition model; inputting an image to be recognized into the synthetic lip-sync face recognition model, and determining whether the image to be recognized is a synthetic lip-sync face image based on the output of the synthetic lip-sync face recognition model. This technical solution can effectively identify synthetic lip-sync faces in images or videos, thereby reducing the probability of rumors, fraud, and other behaviors caused by synthetic lip-sync faces.
Owner:TENCENT TECHNOLOGY (SHENZHEN) CO LTD
Face recognition device
Owner:ZHEJIANG GEELY HLDG GRP CO LTD +2
A real-time face detection and recognition method
ActiveCN116152892BInternal combustion piston enginesCharacter and pattern recognitionFace detectionData set
The present application relates to a kind of real-time face detection identification method, comprising the following steps: S1: constructing face detection identification system;S2: training face detection model;S3: constructing query dataset;S4: all face images in query dataset are input into the face detection model trained to obtain the feature map corresponding to each face image;S5: the corresponding fusion feature matrix of each feature map is calculated, and the fusion feature matrix corresponding to all face images is spliced to obtain a query matrix Q;S6: the face image p to be detected is input into the face detection model trained to obtain the corresponding feature map, then the feature map corresponding to p is input into face recognition model to obtain the corresponding fusion feature matrix Np, matrix P is obtained by multiplying Np with Q, the maximum value in P is compared with threshold value, and then the judgment result is output.The present application can effectively and quickly recognize face, with small amount of calculation, fast calculation speed, and also multiple cameras can be simultaneously operated for detection.
Owner:HEBEI UNIV OF ENG