35 results about "Face contour" patented technology

The application discloses a feature-consistent real face style transfer method and device for digital clothing sample display and a storage medium. The method comprises the following steps: constructing a rendering style face dataset DRFHQ; under the constraint of a face contour and a color tone, a rendering style face generator StyleGAN2-DRFHQ is obtained by fine-tuning a StyleGAN2-FFHQ generator using the DRFHQ; based on the StyleGAN2-DRFHQ, an e4e-DRFHQ encoder is obtained by fine-tuning an e4e-FFHQ encoder using the DRFHQ; a target rendering style face image is obtained from a digital clothing sample display image and is input into the e4e-DRFHQ encoder; a hidden code is obtained by inputting the target rendering style face image into the e4e-DRFHQ encoder; the hidden code is input into the StyleGAN2-FFHQ to generate a real face image; and the real face image is pasted back into the digital clothing sample display image.

The invention provides an intelligent partitioned traditional Chinese medicine precise skin care fumigation system based on multispectral face diagnosis and a phototherapy mask thereof, and belongs to the technical field of face care. Comprising a spectral imaging module which is used for acquiring a corresponding ultraviolet image, a visible light image, a near-infrared image and a thermogram, and identifying and positioning a facial contour and key points; the image preprocessing module is used for carrying out noise reduction and resolution optimization on the ultraviolet image, the visible light image, the near-infrared image and the thermal image; the data acquisition module is used for constructing a face state data set; and the face condition analysis module is used for establishing a skin state coefficient of the ith area according to the face state data set, and establishing a face comprehensive skin state coefficient according to the skin state coefficient of the ith area. The system can automatically generate a targeted skin care scheme, including phototherapy power adjustment and fumigation temperature and humidity control, so that partitioned, graded and refined nursing is realized, and the nursing effect is improved.

The invention discloses a self-adaptive pressure sore preventing breathing mask, and relates to the technical field of breathing masks, the self-adaptive pressure sore preventing breathing mask comprises a main body mechanism, the main body mechanism comprises a mask main body, a soft cushion is fixedly mounted on the bottom surface of the mask main body, two mask buckles are fixedly mounted on each of the two side surfaces of the soft cushion, and a mask adjusting mechanism is arranged in the mask main body; the mask adjusting mechanism comprises an air cushion adjusting unit, the air cushion adjusting unit is located in the mask body, and the air cushion adjusting unit is used for automatically adjusting the air inflation amount according to the facial contour. The air inflation flow of the first conveying pipe and the second conveying pipe is accurately controlled, the air inflation air cushions at different positions keep appropriate air inflation volume, the air inflation air cushions at different positions are adjusted, it is ensured that the mask is tightly attached to the face, and the pressure of the local position can be independently adjusted.

The utility model provides a swimming goggles protection pad. The swimming goggles protection pad comprises a body; the swimming goggles are made of solid plastic or rubber soft materials, the hardness level is shore A10-20 Shore hardness units, the swimming goggles are provided with an assembling and connecting part fixedly connected with the swimming goggles and a face attaching part making contact with the face, the face attaching part is provided with a first circumferential face and a second circumferential face which are in a wave outline shape, and the wave outline of the first circumferential face is the outline of the upper half portion of an eye socket. The wave profile of the second peripheral surface is the lower half profile of the eye socket, so that after the swimming goggles are assembled on the swimming goggles to wear, the first peripheral surface and the second peripheral surface can be matched with the design of the wave profiles of the first peripheral surface and the second peripheral surface due to the characteristic that the solid soft material is easy to deform; the upper edge and the lower edge of the face fitting part are naturally matched with the peripheries of eye sockets of users with different face contours, and the effects of being comfortable to wear and free of water seepage are achieved.

The invention belongs to the technical field of respiratory protection equipment, and discloses an intelligent sensing monitoring and automatic replacement type respiratory protection device and method.The intelligent sensing monitoring and automatic replacement type respiratory protection device is characterized in that massive face data are analyzed and modeled by means of a 3D printing technology and an AI algorithm, and a shell assembly fitting a face contour skeleton is printed according to human face structural features; mechanical energy-electric energy is converted into static charges on the surface of a filter material of the shell assembly for self-supply, and the friction nano-generator adsorbs and captures tiny particles; and the integrated sensing chip bin is used for automatically sensing and responding to the change of breathing resistance of a wearer and the accumulation condition of the filter material in combination with multi-mode sensing, performing early warning in time, automatically replacing the filter material, automatically adjusting the filtering working state of the filter material of the shell assembly and completing the replacement of the filter material. According to the invention, a friction nanometer power generation technology is innovatively introduced, so that the adsorption effect on tiny particulate matters is improved, and the dust and poison capturing efficiency is remarkably improved.

The invention discloses an emotion recognition method and device, equipment and a storage medium. According to the method, image segmentation is carried out on a part of a face image of a user based on a preset image segmentation model, a complete face contour segmentation map of a current frame is obtained, and the part of the face image is an image formed by shielding a part of the face after the user wears the wearable device; constructing a space-time sequence based on the complete face contour segmentation map of the current frame and the complete face contour segmentation map of the historical frame; and performing emotion recognition on the space-time sequence based on a preset expression prediction model to obtain an emotion category of the user. Compared with a traditional emotion recognition method which cannot finish accurate recognition of the user emotion under the condition that the face is shielded, the method has the advantages that the full face expression in the equipment wearing scene is tracked through the pre-constructed image segmentation model and the expression prediction model, accurate emotion recognition is achieved, and the cross-user generalization ability is improved.

This invention discloses an image processing method, apparatus, storage medium, and program product. After acquiring an infrared image and a depth image with corresponding pixel relationships, the method first performs face detection on the infrared image to obtain a face detection bounding box for the target face. Then, the face detection bounding box is mapped onto the depth image to obtain the target coordinate information of the face detection bounding box in the depth image. Next, based on the target coordinate information, the face region is extracted from the depth image to obtain a depth map of the target face region. Then, contour fitting is performed on the target face in the depth map of the face region to obtain a face contour curve frame, which is then used for subsequent image processing. This invention can improve the accuracy of face region detection under uneven ambient lighting conditions, thereby improving the adjustment effect of FaceAE processing. This invention can be widely applied to image processing technologies in various scenarios such as cloud technology, artificial intelligence, intelligent transportation, and assisted driving.

The application relates to the field of artificial intelligence technology and discloses a non-sensing user identification and self-adaptive training method and system based on an AI display screen, which comprises the following steps: collecting a front face image and a human body posture video of a user by a visual sensor of an AI display screen of a sports device in a non-sensing mode; after extracting a part-related descriptor of a human face contour region in the front face image, generating face texture features corresponding to the user, and determining a user identity corresponding to the user; extracting skeleton key point data in the human body posture video to determine a joint position and a limb angle of the user, and analyzing action standardization of the user; collecting physiological feedback signals and behavior performance data of the user in real time by using an auxiliary sensor in the AI display screen, analyzing physiological fatigue of the user, and performing self-adaptive training and adjustment on sports parameters of the sports device to obtain an adjustment result. The application can improve the accuracy of non-sensing user identification and self-adaptive training based on the AI display screen.

The invention provides an identity recognition method which can be applied to the technical field of biological recognition. The identity recognition method comprises the following steps: acquiring a plurality of frames of to-be-processed images containing a face region of a to-be-recognized object; performing dynamic feature extraction on the multiple frames of images to be processed to obtain a local optical flow graph representing the facial micro-action of the object to be recognized and a target feature graph representing the semantic representation of any frame of image to be processed in the multiple frames of images to be processed; performing spatial feature extraction on any frame of to-be-processed image in the plurality of frames of to-be-processed images to obtain a facial contour feature map representing the spatial position of the facial region of the to-be-recognized object in the to-be-processed image; performing feature fusion on the local optical flow graph, the target feature graph and the facial contour feature graph to obtain a fused feature graph; and inputting the fused feature map into a pre-training recognition model to obtain an identity recognition result of the to-be-recognized object. The invention further provides an identity device, equipment, a storage medium and a program product.

The invention discloses a fatigue driving detection method, system and device and a medium, and the method comprises the steps: collecting a driving image of a driver, carrying out the preprocessing of the driving image, and recognizing a mask shielding state; positioning facial features of the driver, locking eye angular point positioning based on a facial contour, intercepting eye and mouth area images, sending the area images into a built identification model, and obtaining eye states and mouth states; according to the eye state and the mouth state, the fatigue degree of the driver is recognized by fusing multi-dimensional data, and driving reminding is given based on the recognition result. According to the method, the eye and mouth areas are positioned through the face frame and eye corner coordinates, the eye and mouth area images are intercepted and corrected, and the images are used as input to be transmitted to the eye and mouth state recognition model constructed based on the convolutional neural network, so that the fatigue degree of a driver is recognized, the traffic accident risk is effectively reduced, fatigue driving is avoided, and the driver experience is improved. And the occurrence rate of traffic accidents is reduced from the source.

The invention discloses a facial expression tracking method, a facial expression tracking model training method, electronic equipment, a storage medium and a computer program product, and relates to the technical field of image processing, and the method comprises the steps: taking each frame of facial image in multiple frames of facial images continuously collected from a target object as a first target image, acquiring a first face image sequence corresponding to the first target image; inputting each frame of face image in the first face image sequence into a preset face contour segmentation model for segmentation to obtain each binary frame of first face contour image; the first contour image sequence including the first facial contour images is input into a preset facial expression tracking model for prediction, facial expression features corresponding to the first target image are obtained, and convolution operation in the facial expression tracking model is 3D convolution operation performed in three dimensions of time, width and height. According to the invention, the accuracy of the facial expression features extracted in the facial expression tracking technology is improved.

The utility model discloses a cold compress cooling mask applied after medical cosmetology. The cold compress cooling mask comprises a cold compress cooling mask body used for covering the face of a patient after medical cosmetology. The cold compress cooling mask body comprises a cold compress mask base layer which is the same as the face contour of a patient, and an eye area, a nose area and a mouth area are arranged on the cold compress mask base layer and located at the positions of the eyes, the nose and the mouth of the patient respectively. The cold-compress facial mask is reasonable in overall design, simple in structure and convenient to operate, the cold-compress cooling layer and the water film layer are arranged, heat of the cold-compress cooling layer can be transmitted to the water film layer through the cold-compress facial mask base layer, the water film layer can be effectively attached to the face of a patient, and the face of the patient can be effectively protected by means of effective combination of the cold-compress cooling layer and the water film layer. The face of a patient can be subjected to effective cold compress, the comfort of the face of the patient in the cold compress process can be effectively improved, and great convenience is brought to cold compress cooling work of the patient after medical beauty.

The utility model discloses a protective mask for isolating poisonous and harmful reagents, relates to the technical field of safety protection, and solves the problems that if an attaching layer of an outer frame edge is difficult to effectively attach, a gap is formed between a human face and a gas mask, even if the gap is only a tiny gap, the gap can become a breakthrough opening of harmful gas, and the safety of the human face is affected. In order to solve the problems that toxic gas can permeate into the mask body quietly along gaps, and respiratory diseases are easily caused for a long time, the mask comprises a mask body, a reinforcing mechanism comprises a notch and a spring, and the other end of the spring is fixedly provided with an attaching pad. The reinforcing mechanism is additionally arranged, and the attaching pad is fixedly connected with the notch through the spring installed at the bottom end of the attaching pad; under the ingenious effect of elasticity, the gas mask can be flexibly adjusted according to different facial contours and closely close to the face, and therefore the situation that a gap is formed between the human face and the gas mask and is sufficient to become a breakthrough opening of harmful gas when the gas mask is difficult to effectively fit can be effectively prevented.

The present disclosure provides a face contour key point determination method and device, equipment and storage medium, and relates to the technical field of computers, to at least solve the problem of large data volume in related art face contour key point processing. The method comprises: obtaining a face image to be detected; determining a face contour region on the face image; performing first mapping processing on the face contour region on the face image to obtain a face contour image with a standard shape; determining first key points on the face contour image; the first key points are key points of the face contour on the face contour image; performing second mapping processing on the first key points on the face contour image to obtain second key points; the second key points correspond one-to-one to the first key points; and the second key points are key points of the face contour on the face image.

The invention relates to a living body recognition method based on binocular infrared face detection. The method comprises the following steps: acquiring infrared image data in different illumination states through linkage of a binocular infrared camera and an LED light supplementing assembly; positioning the position of a face frame in continuous frames, and extracting dark channel data in the frame; calculating an inter-frame face position offset, and comparing a preset threshold to obtain a comparison identifier; calculating depth-of-field data in combination with the comparison identifier and the dark channel data, and obtaining a binarized depth-of-field image through binarization; extracting a face contour, and comparing the contour perimeter with a preset threshold to obtain a contour set conforming to the size; polygon approximation is carried out on the contour set, the number of vertexes is obtained and compared with a preset threshold interval, and candidate face depth-of-field images are obtained; gradient information is obtained through edge detection, weighting calculation is carried out by presetting a face outer side weighting point and giving a weight, and a preset living body threshold value is compared through normalization operation, so that living body recognition based on binocular infrared face detection is realized.

This utility model relates to the field of facial mask technology and discloses a hydrophilic moisturizing facial mask base fabric, including a mask base sheet. Connecting mechanisms are installed on both sides of the mask base sheet. Multiple tear grooves are provided on the outer surface of the mask base sheet. Two adhesive strips are fixedly connected to both sides of the mask base sheet. The connecting mechanism includes two connecting ropes. An air pump is fixedly connected to one side of each connecting rope. A connecting tube is fixedly connected to one side of the air pump. A telescopic tube is fixedly connected to one side of the connecting tube. A delivery tube is fixedly connected to the other end of the air pump. A leakage component is provided on the outer surface of the mask base sheet. In this utility model, the connecting ropes and adhesive strips effectively fix the mask base sheet, ensuring a close fit to the face. The design of the air pump and telescopic tube allows the mask base sheet to adjust according to the facial contours during use, enhancing the fit.

The utility model relates to the field of anaesthetic masks, in particular to an anaesthetic mask not easy to loosen, and aims to solve the technical problems that the anaesthetic mask is not easy to fix and can loosen or fall off after a long time to cause emergencies and increase treatment risks. Comprising a wearing assembly, an auxiliary assembly, a fixing assembly, an anaesthetic mask body and a breathing tube. The anesthetic mask body can be quickly fixed to the mouth and nose of a patient through the wearing assembly, the whole anesthetic mask body is attached to the face contour of the patient through the auxiliary assembly, the situation that anesthetic gas leaks due to the fact that a gap exists between the face contour and the anesthetic mask body is avoided, the patient is better assisted in inhaling gas, and the anesthetic effect is improved. The fixing assembly can help various patients to wear the anaesthetic mask body and stably keep the anaesthetic mask body, the possibility of loosening or even falling off due to too long time is avoided, and the problems that the anaesthetic mask is not easy to fix and can be loosened or fall off due to long time, and the treatment risk is increased due to emergencies are solved.

The application discloses a method for generating fake data for a DeepFake authentication model, which comprises the following steps: performing face detection on an input image to extract a face image; generating a face contour based on the input face image; searching for a face contour in a face database that matches the face contour to a threshold; extracting an inner region of the face contour of the input face image and an outer region of the matched face contour in the face database; and fusing the inner region of the face contour of the input face image after smoothing and compression with the outer region of the matched face contour in the face database to generate fake face data with artifact information. The application can realize the rapid generation of fake face data and meet the training needs.

The application belongs to the field of laryngeal mask processing, and particularly relates to an individualized laryngeal mask processing method based on an Ai vision model: input and size calibration: collecting multi-view photos of the head and neck of a patient, calibrating the pixel size and the actual size, and obtaining a scale factor of each photo. External morphological feature vector: quantifying the scale factor of each photo and the head and face contour into an external morphological feature vector x. Laryngeal mask parameter set generation and definition: defining a laryngeal mask structure parameter set P, and converting the external morphological feature vector into a laryngeal mask parameter estimate value and an uncertainty index by using a mapping model of the Ai vision model. Geometric constraint and safety margin correction: applying geometric, manufacturing constraints and safety margins to the parameters to obtain final parameters. Geometric modeling: based on constructing a laryngeal mask integrated function model, deriving a 3D printing file and printing a finished product, and ensuring model adaptation and accurate position.

The application provides a face shape transformation method, device, equipment and storage medium. The method comprises the following steps: obtaining a predetermined part length and a first key point located on a face contour from a user face shape image; obtaining a second key point corresponding to the first key point from a target face shape image; determining a transformed coordinate of each pixel point in a first key point corresponding to a to-be-adjusted region according to the predetermined part length, the first key point and the second key point; and stretching and transforming each pixel point according to a preset stretching coefficient and the transformed coordinate of each pixel point. The improved inverse transformation algorithm is used to control the stretching amplitude of the pixel points in the to-be-adjusted region, and the mutual transformation of various face shapes is adapted. The attenuation coefficient is further used to limit the stretching amplitude, so that the unnatural effect caused by the excessively large adjustment amplitude is avoided. Before the face shape transformation, the left and right sides and the lower side of the face boundary in the user face shape image are mirror filled, so that the problem of pseudo texture is avoided.

The invention discloses a tool inner cooling hole angle rapid detection method based on machine vision. The tool inner cooling hole angle rapid detection method comprises the following steps that S1, a visual camera collects an end face image of a to-be-machined workpiece; s2, displaying an end face image of the workpiece to be processed in a camera range identification line 4C of image processing software; s3, the image processing software automatically recognizes the end face contour of the workpiece to be machined in the workpiece range recognition line 1C, and a workpiece end face contour line C1, a feature range reference line 2C and an angle reference line 3L are generated; s4, the image processing software identifies inner cooling hole features of the end face of the workpiece to be machined in the feature range reference line 2C, and an angle deflection line P1 is formed; and S5, the rotation compensation angle and the rotation direction of the to-be-machined workpiece are calculated. Compared with the prior art, the problem that according to an existing inner cooling hole feature recognition scheme of a grinding machine, tungsten steel cutter end face inner cooling hole features are difficult to quickly and accurately recognize is solved.

The application discloses a face contour automatic smoothing method and system based on CNN, and a storage medium. The method comprises the following steps: obtaining a second face image and a face contour mask image of a to-be-smoothed image, performing multiplication operation on the two images, calculating a face contour part region of interest, inputting the face contour part region of interest into a pre-trained face contour smoothing generation network, and generating a face contour smoothing optical flow graph; performing magnification processing on the face contour smoothing optical flow graph, and then applying the face contour smoothing optical flow graph to a first face image to obtain a face contour pre-smoothing result; and performing affine transformation processing on the face contour smoothing result to obtain a face contour smoothing result. The application does not need to depend on the positions of face points, and only needs to input the calculated face contour part region of interest into the pre-trained face contour smoothing generation network, so that accurate smoothing operation can be intelligently performed on face contours in different scenes and with different defects, and the automatic contour adjustment demand of a user can be met.

The invention relates to the technical field of biological feature recognition, in particular to a face lateral recognition method combined with auricle structural features, which comprises the following steps: S1, collecting a lateral face image containing a unilateral auricle; s2, positioning the outer contour of the auricle, and segmenting the auricle region from the image; s3, extracting geometric structure feature vectors of auricles; s4, extracting a curvature feature vector of the outer contour of the face from the lateral face image; s5, performing normalized splicing on the geometric structure feature vector of the auricle and the curvature feature vector of the facial outer contour to generate a fusion biological feature code; and S6, performing similarity comparison, and outputting an identity recognition result. According to the method, the geometric features of the auricles and the curvature information of the facial contour are fused, the normalized feature codes are constructed, similarity comparison is carried out, and high precision and high robustness of identity recognition under the condition of the lateral image are achieved.

The utility model relates to a shaver. The shaver comprises a shell assembly and a driving assembly, the cutting mechanism is movably arranged at the top of the shell assembly; the temperature adjusting mechanism comprises a temperature adjusting assembly and an elastic piece, the bottom of the temperature adjusting assembly is connected with the shell assembly through the elastic piece, so that the temperature adjusting assembly can float up and down relative to the shell assembly, a skin contact area exposed to the outside is formed on the temperature adjusting assembly, and the temperature of the skin contact area is adjustable; and the driving mechanism is in driving connection with the cutting mechanism. According to the shaver, the skin contact area which can make contact with the face skin and is adjustable in temperature is formed on the temperature adjusting mechanism, the skin contact area can be better matched with the cutting mechanism to work to meet the requirement for relieving skin irritation, and the temperature adjusting mechanism is connected with the shell assembly through the elastic piece; when a user shaves with the shaver and touches the skin touching area, the temperature adjusting mechanism is stressed to float and fit the face contour better, and the user experience is improved.

The invention discloses a manufacturing method of a high-elasticity hydrogel facial front traction appliance based on facial scanning and 3D printing, and relates to the technical field of manufacturing of high-elasticity hydrogel facial front traction appliances, and the manufacturing method comprises the following steps: performing three-dimensional scanning on forehead and jaw areas of a patient to obtain facial three-dimensional data reflecting an individual facial contour; constructing a digital face model based on the face three-dimensional data, and determining a fitting area of a forehead support and a chin support on the model; an appliance structure is designed according to the fitting area, the structure comprises a rigid supporting framework and concave cavities corresponding to the forehead support and the chin support respectively, and the shape of the inner surface of each concave cavity is consistent with that of the fitting area; carrying out 3D printing on the appliance structure by adopting a medical-grade polymer material to prepare a rigid framework with the concave cavity; the concave cavity of the rigid framework is filled with a high-elasticity hydrogel material, and a buffer layer making contact with facial soft tissue is formed.

The application discloses a face recognition method based on a mask-wearing person's eye distance, and particularly relates to the technical field of mask face recognition, and comprises the following steps: obtaining a plurality of target images through a camera, preprocessing the plurality of target images, creating an image data set, and storing the image data set in the cloud or a memory; detecting the coordinates of two eyes in the target image through a cascade classifier, expanding the coordinate range to obtain face contour data, and then performing image segmentation processing; obtaining a target segmentation image, detecting face coordinates by using face key points, judging whether it is a face, obtaining coordinates by using face key points, and extracting face information. The application calculates the eye distance of a person through a Euclidean model, and identifies the identity through the matching and comparison of the eye distance, thereby improving the accuracy of mask face recognition, and making up for the fact that the target image detection of the traditional recognition method can only detect a mask but cannot identify the identity of a mask face.

This invention discloses a method and system for detecting the end face shape of continuously cast slabs based on binocular vision. The method includes: constructing a binocular vision system to acquire images of the slab end face; identifying the acquired images, distinguishing between the casting head region and the slab end face region to be measured, and locating the four corner points of the slab end face; cropping the region of interest (ROI) of the end face and extracting the pixel-level contour of the slab end face from the ROI; calculating the coordinates of the four corner points in three-dimensional space according to the calibration parameters of the binocular vision system, fitting the spatial plane where the slab end face is located, and establishing a homography mapping relationship between the spatial plane and the image pixel plane; mapping the pixel-level contour extracted from the image to the spatial plane, segmenting the mapped end face contour, and performing smoothing processing, thereby calculating the shape parameters of the slab end face. This invention achieves fully automatic, high-precision, and robust online detection and quantitative analysis of the end face shape of continuously cast slabs.

This application relates to the field of live streaming technology, and proposes a method, apparatus, computer equipment, and storage medium for detecting cover images in live streaming rooms. The method includes: acquiring a cover image to be detected; performing face detection on the cover image to obtain face detection results; if one or more face regions exist in the face detection results, acquiring the region size of each face region and the size of the cover image; if the proportion of each face region in the cover image is less than a preset proportion threshold and the aspect ratio is within a preset aspect ratio threshold range, performing face contour key point detection on each face region to obtain face contour key point detection results; if the face contour key point detection results all meet preset conditions, the cover image is used as the target cover image, thereby improving the efficiency of cover image detection.

The application provides a face image processing method, device and equipment and a computer readable storage medium. The method comprises: performing face key point detection on a to-be-processed face image to obtain a face key point set; determining a first forehead feature point based on a first feature point representing a nasal root and a second feature point representing a lower jaw in the face key point set; determining a second forehead feature point and a third forehead feature point based on the first forehead feature point and the first feature point, and in combination with a third feature point representing the outer side of a left face contour and a fourth feature point representing the outer side of a right face contour, respectively; performing interpolation fitting based on the first forehead feature point, the second forehead feature point and the third forehead feature point to obtain a forehead feature point set; and performing image processing on the to-be-processed face image based on the forehead feature point set to obtain an image processing result. Through the application, the efficiency and accuracy of face image processing can be improved.