30 results about "Skin lines" patented technology

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.

The invention provides a skin texture depth measuring method and system based on image analysis, electronic equipment and a storage medium, and relates to the technical field of image analysis, and the method comprises the steps: collecting a visible light image, a near-infrared image and a cross polarized light image of the skin surface of a target object, and forming a multi-modal image; performing spatial alignment on the multi-modal image, and performing fusion processing on the multi-modal image after spatial alignment to obtain an initial composite feature map including epidermal texture, subcutaneous blood vessel and grease distribution; on the basis of a generative adversarial network, super-resolution reconstruction is carried out on features of pixels of which the quality values are lower than a preset quality threshold in the initial composite feature map, and a target composite feature map is obtained; the features in the target composite feature map are screened through the front-stage screening unit of the cascade classifier, and three-dimensional analysis is performed through the rear-stage analysis unit of the cascade classifier based on the screened features, so that the skin texture depth is measured, and the accuracy and comprehensiveness of skin texture depth measurement are improved.

The invention provides a method and system for evaluating facial skin aging, and the method comprises the steps: obtaining visible light, ultraviolet reflection and near-infrared spectrum images through multispectral imaging, and extracting skin texture, color spots and capillary network parameters through preprocessing; constructing a three-dimensional facial skin model, and measuring skin elasticity parameters in combination with a mechanical sensor; and inputting the parameters into a deep learning aging evaluation model, outputting a comprehensive evaluation report containing the physiological age of the skin, the elasticity grade and the regional aging difference index, and providing personalized aging protection suggestions. According to the method, multi-modal data and a deep learning technology are fused, multi-dimensional quantitative evaluation is realized, the method has the characteristics of high precision, objectivity and individuation, a powerful tool is provided for skin health management, and the method has a wide application prospect.

The application provides a skin texture detection method and device, equipment and a storage medium, and relates to the technical field of image processing. The method comprises the following steps: acquiring multiple-view images of a face to be detected, determining multiple sets of face key feature points, acquisition images of multiple analysis regions and mask images; determining skin texture intensity maps of each analysis region according to the multiple sets of face key feature points, the acquisition images of each analysis region and the mask images; performing skin texture feature statistics on the skin texture intensity maps of each analysis region according to the mask images of each analysis region, obtaining skin texture feature values of each analysis region in multiple dimensions; determining skin texture parameters of each analysis region according to the skin texture feature values of each analysis region in multiple dimensions; and determining target skin texture parameters of the face to be detected according to the skin texture parameters of the multiple analysis regions. The application can comprehensively and accurately detect skin texture.

The invention relates to the technical field of light control, in particular to a skin visual detection control method based on a silicon substrate multi-primary-color LED lamp. According to the method, the original skin image is continuously acquired, the local window is divided, and the similarity of the structure direction field and the color gradient field of the local texture is combined, so that the high-resolution recognition of the skin texture state is realized, and the recognition precision of the facial detail abnormity is enhanced. By setting the fuzzy judgment interval and quantifying the membership degree, a multi-dimensional recognition system for different abnormal types such as color spots, redness and swelling, dry decrustation, acnes and comedos is established, and the sensitivity and adaptability of skin abnormality judgment are remarkably improved. In a color response interference identification process, an inter-class variance is introduced to calculate a response difference between a red channel and a yellow channel, so that the influence of a color overlapping region is effectively eliminated, and the effectiveness and independence of extracting a gray region are ensured. And further extracting an effective gray area in the non-interference area.

The invention belongs to the technical field of burn wound analysis. According to the skin burn analysis method and system based on contrast agent blood perfusion, firstly, a fluorescence sequence after a contrast agent is injected is obtained, and a preprocessing sequence is generated through area cutting and down-sampling; a fluorescence intensity time curve of each pixel point is extracted, peak time is determined, and statistics is carried out to construct a peak time histogram; performing smooth denoising, extreme value detection and weak peak removal on the histogram, and adaptively selecting a threshold value for distinguishing normal and burnt tissues; generating an initial mask by using the threshold value, and performing connected domain analysis and morphological post-processing to obtain a target burn area mask; and finally, generating a pseudo-color image in combination with peak time. According to the method, the time dynamic characteristic of blood perfusion is fully utilized, the burn area can be accurately segmented and the microcirculation disturbance degree can be visually presented without depending on skin textures or a large amount of training data, and the objectivity and accuracy of burn depth evaluation are remarkably improved.

The application discloses a face plastic surgery effect prediction method and system based on three-dimensional reconstruction, and relates to the technical field of image recognition. The method comprises the following steps: obtaining face original three-dimensional point cloud data of a surgery receiver, surgery adjustment parameters and individual physical parameters; constructing initial coupling proportion field data; inputting the surgery adjustment parameters into a directional stress release model, combining skin line direction data to calculate asymmetric stress vector data, and performing spatial orientation correction on the initial coupling proportion field to obtain asymmetric deformation trend data, which is input into a time rebound prediction model to generate time evolution prediction data in combination with individual physical parameters and tissue elastic characteristics; limiting local volume increment in the prediction data according to a scar tendency weight, generating target postoperative deformation prediction data, and performing component decomposition to output multi-dimensional interpretable deformation decomposition results. The application realizes high-precision and interpretable prediction of the soft tissue dynamic deformation process of the surgery effect.

The subject technology applies, to image data and depth data, a 3D effect including at least one beautification operation based on an augmented reality content generator, the 3D effect including a beautification operation, the beautification operation comprising modifying image data, the image data including a region corresponding to a representation of a face, the beautification operation comprising using a machine learning model for at least one of smoothing blemishes or preserving facial skin texture. The subject technology generates a depth map using at least the depth data. The subject technology generates a segmentation mask based at least on the image data. The subject technology performs background inpainting and blurring of the image data using at least the segmentation mask to generate background inpainted image data. The subject technology generates a 3D message based at least in part on the applied 3D effect including the at least one beautification operation.

The invention relates to anti-wrinkle moisturizing cream containing vitriol and a preparation method of the anti-wrinkle moisturizing cream, and belongs to the technical field of cream, the provided anti-wrinkle moisturizing cream can achieve the dual effects of moisturizing and wrinkle resistance at the same time, replenish moisture for skin, improve the dry state, effectively relieve skin lines and improve the compactness, and the moisturizing effect is good. The anti-wrinkle moisturizing cream provided by the invention is prepared from the following components: hydroxypropyl tetrahydropyrantriol, an active component A, an active component B, polydimethylsiloxane, nicotinamide, lauryl PEG (Polyethylene Glycol)-10 tri (trimethylsiloxy) silyl ethyl polydimethylsiloxane, p-hydroxyacetophenone, 1, 2-hexanediol, tocopheryl acetate and Asian white birch juice, the active component A comprises polyglycerol-3, meadowfoam seed oil and alnus macrophyllus seed oil, and the active component B comprises oleoyl tyrosine and tripeptide-10 citrulline.

The application discloses a kind of test methods of waterproof performance of color cosmetic product, comprising the following steps: data acquisition before use: select test area and mark on the skin of subject, collect the brightness value, red-green value, yellow-blue value, individual type angle, roughness and smoothness of test area;Pre-bath data acquisition: test sample is evenly coated on the test area of subject, and the relevant parameters of test area are collected;Water resistance test;Post-bath data acquisition: the relevant parameters of test area are collected;Data statistics: the statistical analysis of data is carried out using application statistical analysis software;Result determination: any parameter in instrument test relevant parameter after bath is not significantly changed compared with before bath, or significantly changed compared with before use, then it is determined that test sample has waterproof effect, otherwise it is considered that test sample has no waterproof effect.The application provides objective measurement data of two dimensions of skin color and skin texture for evaluating the waterproof performance of color cosmetic product, which is more reasonable and has more reference value.

The invention belongs to the technical field of colored drawing pigments, and particularly relates to a pigment for human body colored drawing and a preparation method thereof.The pigment comprises the following components in parts by mass: a base emulsion component including 40-50 parts of nano silicon PU modified acrylic resin emulsion, 20-30 parts of poly carbon waterborne polyurethane resin PUD emulsion and 3-5 parts of polyvinylpyrrolidone; 25 to 55 parts of a wax component; 15 to 45 parts of an oil component; 7-18 parts of a pigment component; 3-5 parts of vitamin E; 4-6 parts of mint; 5-7 parts of wool fat; 3-5 parts of aloe juice; the oil component, the wax component and the resin system are compounded, a layer of continuous film with certain strength can be formed on the skin on the premise that the skin is not irritated, the dried paint film can be tightly attached to the skin texture to improve the painting effect, it can be guaranteed that the paint film is not prone to cracking and falling off at the joint movement position, and the painting effect is improved. Meanwhile, the oil wax component, the vitamin E, the aloe juice and the like added into the pigment can improve the gloss effect of a film layer and achieve the skin care effect at the same time, and colored drawing can be slightly torn off only through hot compress.

The invention discloses an identity recognition method and device and a readable storage medium, relates to the technical field of terminals, and can solve the problem that user data of different users are confused when the device performs user data management. In the application, the electronic equipment can obtain the skin lines or textures of the user when the user wears the electronic equipment based on the use habit of the user wearing the electronic equipment, and identify the identity of the user based on the skin lines / textures of the user; therefore, user data such as exercise data, health data, sleep data, age information, height information, weight information, diet information, medicine taking information and smoking information obtained in the process that the user wears the electronic equipment can be associated to the user. According to the method, the user data of different users can be effectively distinguished and isolated, one-to-one correspondence between the user data and the user identities is realized, the accuracy and authenticity of the user data are ensured, effective support is provided for the users to accurately and truly know the conditions of exercise, health, sleep and the like, and the user experience is improved.

This partial wig provides a secure and stable fit that conforms to the curvature of the head, allows for hygienic storage by protecting the hook-and-loop fasteners when not in use, and offers a high degree of visual accuracy. [Solution] An artificial scalp 3 that replicates the texture of skin is provided on the outside, and a hook-and-loop fastener 4 with a single curved shape that corresponds to the curvature of the head is placed inside 2. Furthermore, a storage cover 5 for covering the hook-and-loop fastener is provided in a detachable form.

The subject technology applies, to image data and depth data, a 3D effect including at least one beautification operation based on an augmented reality content generator, the 3D effect including a beautification operation, the beautification operation comprising modifying image data, the image data including a region corresponding to a representation of a face, the beautification operation comprising using a machine learning model for at least one of smoothing blemishes or preserving facial skin texture. The subject technology generates a depth map using at least the depth data. The subject technology generates a segmentation mask based at least on the image data. The subject technology performs background inpainting and blurring of the image data using at least the segmentation mask to generate background inpainted image data. The subject technology generates a 3D message based at least in part on the applied 3D effect including the at least one beautification operation.

Embodiments of the present application disclose a non-invasive blood glucose measurement method, device, equipment and storage medium. The method acquires skin contact data of a user to be detected by a fingerprint sensor, determines a skin contact area according to the skin contact data, acquires skin texture information of the user to be detected from the skin contact data when a contact state meets a preset condition, acquires a spectral measurement value of the user to be detected by an optical detector, then calls corresponding target blood glucose calibration data from a blood glucose calibration database of the user to be detected according to the skin texture information, and determines a blood glucose result of the user to be detected according to the spectral measurement value and the target blood glucose calibration data. By this method, on the one hand, the situation that the detection result is affected due to light leakage caused by poor contact between the user to be detected and the optical detector can be avoided, and on the other hand, errors caused by different contact positions of the user to be detected during each measurement can be avoided.

Embodiments of the present application provide a beautifying method, a program product, a storage medium and an electronic device. The beautifying method comprises: obtaining a to-be-beautified image containing a face; performing edge-preserving smoothing filtering on the to-be-beautified image to obtain a base image; inputting the base image into a generator in a generative adversarial network to obtain a skin texture image; and performing image fusion on the base image and the skin texture image to obtain a beautified image. The beautified image obtained by the method has both beautifying effect and skin texture.

This invention relates to the field of feature extraction technology, specifically to an AI-based method and system for facial skin texture feature extraction. The method includes the following steps: using an image acquisition device, a face region is captured and grayscale spatial distribution data is obtained; grayscale differences and transition features of each pixel in multiple directions are analyzed; and the responses of each directional channel are fused to obtain the skin texture distribution result. In this invention, the input stage maintains a balanced foundation for the original data through brightness spatial consistency and pixel continuity constraints. During feature extraction, multi-directional grayscale change aggregation and transition trajectory analysis are employed to distinguish the texture direction and structural distribution characteristics of local areas. For areas with significant differences, the allocation of parameters for each channel is adjusted based on the dominant directional response. Reflection interference positions are handled through dynamic weight correction, ensuring that the output result possesses structural integrity and directional response coherence in real space, effectively improving the skin texture mapping capability in complex scenes.

FIELD: medicine.SUBSTANCE: invention relates to simulators for practicing skills of applying surgical sutures to the skin and techniques of tying surgical knots. The simulator includes a multi-layer cushion simulating human tissues, a simulation of vessels in the tissues, and has a rectangular shape with rounded edges measuring 20 by 15 cm and a height of 1.8 cm. The simulator is made of hypoallergenic polymers and contains four layers simulating human tissues - epidermis, dermis, subcutaneous fat, muscles. Vessels of various diameters, filled with a liquid imitating blood, run in the subcutaneous layer. A flap of PVC artificial leather having a skin texture, treated with liquid release wax IZHWAX SP, is placed on a platform with legs measuring 25 by 20 cm. A part in the form of a side 1.75 mm high, printed on a 3D printer, is placed on the flap. A nylon stretch mesh with a density of 110 g / m2 is stretched over the part. The stretch mesh is fixed to the platform with clamps. A part in the form of an outer side with 'ears' 17 mm high, printed on a 3D printer, is installed on the mesh. The entire structure is completely pressed against the base using clamps so that the nylon mesh remains stretched. Platinum silicone rubber of appropriate parameters is poured into a separate container. The components are mixed and coloured with a dye for epoxy resin, and after the last layer hardens, all the existing 3D-printed sides and other parts are separated. The excess stretch mesh is cut off.EFFECT: possibility of performing training of intramuscular injection, layer-by-layer dissection of the simulator layers with a scalpel down to the underlying layers and applying sutures in hard-to-reach places, in particular on the muscle layer, fascia, aponeurosis.1 cl, 1 dwg

The invention discloses a medical art post-repair effect evaluation method based on big data, and belongs to the technical field of medical evaluation, and the method specifically comprises the steps: extracting a current feature vector containing skin texture, color and luster parameters and physiological indexes after time sequence alignment and denoising cleaning; inputting the current feature vector into a pre-trained feature mapping model, and converting the current feature vector into a standardized recovery representation code which eliminates individual basic physiological differences and has a unified dimension; fitting and generating a multi-dimensional dynamic reference recovery curve set of the target object based on the operation type label and the preoperative reference feature of the target object; calculating the characteristic deviation degree of the standardized recovery representation code and the multi-dimensional dynamic reference recovery curve set at the current time sequence node, and generating a comprehensive evaluation index of a quantitative recovery state in combination with the weight; and according to the comprehensive evaluation index, identifying an abnormal recovery feature dimension, automatically associating a repair scheme knowledge base to match a corresponding intervention measure, and generating a repair effect evaluation report.

The application discloses a full-automatic cartoon confectionery forming machine, aiming at solving the problems of production process interruption, low efficiency and high health risk caused by manual recovery of leftover dough in the production of existing cartoon confectionery. The whole continuous confectionery feeding belt reduces the lodging of confectionery, and the independent cylinder controlled skin cutter realizes accurate cutting and flexible adjustment. The confectionery / skin double conveying line cooperates with the lifting mold driven by the hollow rotating platform to complete the integration of cutting and transfer, and the spraying mechanism enhances the bonding effect. At the same time, the leftover dough automatic recovery mechanism uses the vertical lifting belt and the horizontal conveying belt to efficiently recover the leftover dough. The three-roller dough crushing device prevents clogging and outputs continuous dough belt. Then, the dough is pressed and formed by the dough pressing mechanism and directly returned to the skin line, forming a full closed-loop production. The whole process automation of leftover dough regeneration not only reduces production interruption and manual intervention, but also guarantees food hygiene and safety, and significantly improves the utilization rate of raw materials and the efficiency of continuous operation of the equipment.

The present invention relates to a microcurrent stimulation mask pack for continuously providing microcurrent stimulation to the skin without any power supply to enhance the penetration of functional cosmetics and help cell activation, thereby achieving the effects of improving skin texture, elasticity, and wrinkles.

The utility model relates to the technical field of marking machines, and discloses a marking robot which comprises a vehicle body, a driving module, an ink jet module, an obstacle avoidance module, a positioning module, a tracking module, a power supply module, a control module and an ink supply module, the ink jet module comprises an ink jet head, and the ink jet head is connected with the ink supply module; ink is conveyed from the ink supply module to an ink jet head of the ink jet module to be jetted out, the vehicle body is driven to move through the driving module, and therefore the marking function is achieved. In the process, the positioning module can feed back the pose, the orientation angle and the speed of the scribing robot in real time, and the scribing precision is ensured; the tracking module can track the position of the scribing robot in real time through a high-precision positioning system, and the accuracy of a scribing path is ensured; the obstacle avoidance module can effectively avoid collision and improve the operation safety; therefore, the scribing work of the outer skin of the airplane is efficiently and accurately completed, and the working efficiency and quality are improved.

The application discloses a skin extraction and skin migration method, device, equipment and storage medium, which comprises the following steps: acquiring a model picture meeting a preset condition, performing skin extraction on the model picture based on an HSL color space to obtain a model skin picture; performing skin extraction on the model skin picture based on a multi-scale standard face to obtain a multi-scale standard skin picture; after preprocessing a to-be-processed user picture, performing skin migration on the standard skin picture to obtain a corresponding skin migration result picture. The result face picture after skin migration has stable skin texture effect and can retain the skin texture details of the to-be-processed user picture.

The invention relates to the technical field of cosmetics, in particular to a tattooing perfume composition and a preparation method and using method thereof.The tattooing perfume composition is at least prepared from, by mass, 1-30% of aromatic, 1-20% of coloring agent, 0.5-10% of humectant, 3-55% of film-forming agent, 0.1-6.5% of thickening agent, 0.1-7.5% of skin conditioner, 1-20% of antifreeze agent, 0.1-10% of solubilizer and the balance water. 0.1-10% of a suspending agent, 0.05-3% of a preservative and the balance of a solvent. The perfume is presented in a tattoo mode, the perfume is made into emulsion, the emulsion is matched with the hollowed-out pattern sticker, the skin surface is smeared with the perfume in a smearing mode to form the tattoo, the perfume has fragrance, and the personalized expression requirement is fully met; the problems of incomplete patterns and unclear edges due to the film-forming property of the perfume and easy overflowing of the perfume into skin lines in the smearing process are effectively solved.

The invention belongs to the technical field of digital human generation, and discloses a digital human generation method optimized through intelligent AI, a fusion model is constructed through synchronous acquisition of multiple devices driven by AI and in combination with dynamic weight distribution and GAN correction terms, and the scheme can automatically adapt to dimensional differences of different dimensional features such as three-dimensional contours, skin textures and electromyographic signals, so that the accuracy of the digital human generation is improved. Inferior data is eliminated in real time, missing frames are complemented, and feature association failure caused by traditional fixed weight splicing is avoided; a finally constructed high-fidelity multi-modal database enables the reduction degree of basic features of the digital human to be remarkably improved, and the problem of appearance distortion caused by data deviation in a virtual interaction scene is effectively solved; according to the technical scheme, a human body motion law is analyzed by adopting a Transform architecture AI, special body type skeleton parameters are adjusted in combination with transfer learning, and then the binding weight is optimized through reinforcement learning, so that the matching of a skeleton structure and biomechanics can be realized without manual adjustment, and the problem of wearing during special body type motion is avoided.

The application discloses an LED light formula for treating skin aging, a light source and application thereof, relates to the technical field of phototherapy and photohealth, and belongs to the technical field of phototherapy and photohealth. ‑2 ·s ‑1 The total photon flux density of the LED light formula is 240-300 mu mol m 2 The total irradiance of the LED light formula is 70-80 W / m 2 ; wherein, according to the percentage of the total photon flux density, the yellow light is 30-40%, and the red light is 60-70%; according to the percentage of the total irradiance, the yellow light is 20-30%, the red light is 35-45%, and the infrared light is 35-40%. The LED light formula can effectively reduce skin wrinkles, improve skin texture, skin color and pigmentation, prevent trans-epidermal water loss, and improve the water content of the stratum corneum, so as to achieve the effect of improving skin aging.

The application relates to the technical field of palm artery casting, and discloses a palm artery casting manufacturing and prototype embedding method with modeling, wherein the palm artery casting manufactured through the method has high transparency, no air bubbles, consistent modeling and design, can clearly observe the pipeline running and distribution of the internal blood vessel casting, can reserve the surface skin texture according to needs, and can clearly observe the space adjacency relationship between the blood vessel casting and the epidermis and joints.

The application provides a skin texture depth determination method and system based on image analysis, an electronic device and a storage medium, and relates to the technical field of image analysis. The application forms a multi-modal image by collecting a visible light image, a near-infrared image and a cross-polarized light image of the skin surface of a target object. The multi-modal image is spatially aligned, and the spatially aligned multi-modal image is fused to obtain an initial composite feature map containing epidermal texture, subcutaneous blood vessels and oil distribution. Based on a generative adversarial network, the features of pixels with a quality value lower than a preset quality threshold in the initial composite feature map are super-resolution reconstructed to obtain a target composite feature map. The features in the target composite feature map are screened by a front-stage screening unit of a cascaded classifier, and based on the screened features, three-dimensional analysis is performed by a rear-stage analysis unit of the cascaded classifier to realize the determination of skin texture depth and improve the accuracy and comprehensiveness of the determination of skin texture depth.