50 results about "Skin lines" patented technology

The invention relates to the field of medical robots, and discloses a meridian point foundation construction method for precise positioning of an acupuncture robot, which comprises the following steps: scanning skin texture, muscle contour and skeleton mark features of a human body surface, and establishing a human body surface feature digital model; the method comprises the following steps: acquiring temperature distribution data of a human body surface, human body surface feature digital model data and elastic modulus data, performing weight mapping feature level fusion to generate an enhanced acupuncture point feature map, and establishing an acupuncture point-meridian association relationship matrix based on the enhanced acupuncture point feature map; compared with the prior art, the method has the advantages that three-dimensional body surface scanning, infrared thermal imaging and elastic modulus data are integrated through the multi-modal data fusion technology to generate the enhanced acupoint feature map, the dynamic meridian-acupoint twinborn model is constructed in combination with double-ellipse section fitting and implicit curved surface reconstruction, and tissue deformation is simulated in real time.

The invention discloses a power transmission line constructor identity verification method based on face recognition, and relates to the technical field of electric power engineering safety management, and the method comprises the steps: collecting multispectral face data, and generating a spectral stereo feature matrix; micro blood flow pulsation characteristics, skin texture characteristics and thermal imaging temperature distribution characteristics are extracted from the spectrum stereo characteristic matrix, a three-layer cascade anti-counterfeiting verification mechanism is constructed, and comprehensive living body judgment is carried out; establishing a distributed feature matching network, and matching the spectrum stereo feature matrix with a pre-stored feature library; collecting a geographic position track and an operation behavior mode of a constructor, and carrying out multi-dimensional cross validation on the geographic position track and the operation behavior mode and an identity matching result to generate a multi-level safety evaluation index; and writing the identity verification process and the multi-level security evaluation index into a distributed account book, and generating a verification voucher. According to the invention, cross analysis is carried out on the identity matching result of the constructor and the behavior characteristics, so that the problem that a traditional face recognition system is easily falsely used by the identity is effectively solved.

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 invention discloses a skin texture monitoring method based on image processing, and belongs to the technical field of image processing. The method comprises the following steps: firstly, counting pixel value numbers of skin texture image pixel points in a local area, row and column to obtain a local number, a row number and a column number; according to the local number of the same pixel point and the row and column number difference value, the row and column local difference degree is calculated, and a corresponding difference image is constructed; marking abnormal pixel points from the difference image, and obtaining first and second form attention degrees according to the original image form; performing enhancement processing on the difference image to obtain an enhanced image; and finally, processing the enhanced image by using a dual-channel convolutional neural network, and obtaining the skin texture deviation degree in combination with the form attention degree. According to the method, the local abnormal condition is highlighted by comparing the number of local pixel values with the number of row pixel values and the number of column pixel values, and the accuracy of monitoring results is improved.

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 invention discloses a colorectal cancer stoma postoperative skin cleaning and protecting integrated device, and relates to the technical field of medical treatment. The fiber brush is movably arranged in the body; the differential driving mechanism is movably arranged in the body in the direction of the central axis of the body, the differential driving mechanism comprises an inner rotating disc and an outer ring frame which are coaxially arranged and have different angular speeds, the inner rotating disc is meshed with the outer ring frame through a gear set with the integral multiple transmission ratio, and the rotating angular speed of the inner rotating disc is larger than that of the outer ring frame. By arranging the inner rotating disc, the reciprocating groove and the outer ring frame, differential rotating motion of the inner rotating disc and the outer ring frame can be converted into radial profiling reciprocating displacement of the fiber brush, so that the contact end of the fiber brush and the skin generates a composite spiral motion trail, and the surface of the skin can be cleaned along skin lines; stubborn dirt hidden in skin lines can be deeply cleaned, and the cleaning effect is effectively 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 utility model discloses a medical adhesive tape which comprises a base layer, an adhesive layer is arranged below the base layer, and a surface layer is arranged above the base layer. According to the medical adhesive tape, a storage cavity is formed in the base layers, a tearing line is arranged between the two base layers, an easy-to-tear part is connected to the corner of the upper surface of each base layer, and an air inlet hole is formed between the easy-to-tear part and the storage cavity; an antibacterial layer is connected between the base layer and the adhesive layer in a heat sealing manner. According to the medical adhesive tape, when the medical adhesive tape on the skin of a patient needs to be torn off, only the easy-to-tear part needs to be torn off firstly, and at the moment, the easy-to-tear part does not shield the air inlet hole any more, so that iron powder in the material storage cavity makes contact with outside air and emits heat, the bonding layer is softened, and the bonding force between the bonding layer and the skin is reduced; and then medical personnel hold the easy-to-tear part and slowly and stably tear off the easy-to-tear part along the skin texture direction, so that pain and skin damage to a patient caused by rapid and violent tearing are avoided.

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.

Embodiments of the present disclosure disclose an image processing method, apparatus, device, and storage medium. Obtain a facial image to be processed; input the facial image to be processed into a generator of a set generative adversarial network to obtain facial defect information; perform defect removal processing on the facial image to be processed according to the facial defect information to obtain a target facial image. The image processing method provided by the embodiments of the present disclosure performs defect removal processing on the facial image to be processed based on the facial defect information obtained by the generative adversarial network, without performing global processing on the facial image to be processed, avoiding the loss of details of facial features and skin texture, thereby improving the authenticity of the facial image after defect removal.

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 present invention discloses a skin marking device for amputation surgery, comprising a tape measure and an arc-shaped sheath, wherein the tape measure is marked with a length scale; a curved ruler is inserted into the curved sheath, and the curved ruler can be extended and retracted along the curved sheath, and both the curved sheath and the curved ruler are made of flexible materials; the closed end of the curved sheath is fixedly connected to the zero-scale end of the tape measure; the curved sheath faces the tail end of the tape measure, and the curved sheath and the tape measure form an L shape; the inner wall of the opening of the curved sheath is provided with a first limit block, and the bottom end of the curved ruler is provided with a second limit block, and the first limit block cooperates with the second limit block; the device can conveniently perform a skin arc-marking operation before amputation surgery, and the drawn arc is accurate and regular, which is beneficial to skin suturing after the surgery.

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 utility model discloses a skin ornamentation needle cleaning device, and relates to the technical field of skin ornamentation needle cleaning. Comprising a cleaning table, a storage net cylinder and a storage frame, two sets of electric sliding rails are arranged at the top end of the cleaning table, an electric push rod is arranged at the top end of a sliding frame, a motor is arranged in a mounting cylinder, and the output end of the motor is detachably connected with the storage net cylinder. According to the skin tattoo needle quick-drying device, the storage net cylinder and other components are arranged, the electric push rod and the motor operate, skin tattoo needles are automatically cleaned, after the skin tattoo needles are cleaned for a period of time, the storage net cylinder descends into the quick-drying cavity to rotate through matched operation of the electric sliding rail, the electric push rod and the motor, and therefore the skin tattoo needles can be quickly dried. And an air blower in the air blowing cylinder operates to blow air to the storage net cylinder rotating in the quick-drying cavity, the drying speed of the skin ornamentation needles in the storage net cylinder can be increased, and the cleaning efficiency and safety of the skin ornamentation needles are effectively improved.

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.

The present invention relates to the field of image recognition technology, and in particular to a method and system for constructing an intelligent recognition model for Parkinson's disease. The method comprises the following steps: collecting facial image videos of Parkinson's patients; analyzing the facial image videos frame by frame, extracting each frame from the facial image videos, and generating frame-by-frame facial images; identifying facial skin features in the frame-by-frame facial images; performing texture wrinkle detection on the facial skin features to generate skin texture wrinkle data; and calculating wrinkle layering on the skin texture wrinkle data to obtain skin wrinkle layering. The present invention uses data processing and image recognition technologies to identify facial skin and muscle features of Parkinson's patients, and correlates and maps the patient's voice information with the presented facial skin and muscle features to construct an intelligent Parkinson's disease recognition model, thereby improving the accuracy of Parkinson's disease recognition and shortening the recognition time.

The invention relates to a blade (1) made of composite material, comprising a fiber reinforcement material, which is densified by an organic matrix and provided with a metal element (5) in an attachment area (4), the blade being characterized in that, in at least one zone of the attachment area, the reinforcement material comprises a surface fabric orientation adapted to the mechanical stress direction by having a first skin thread extending in the main mechanical stress direction (DA) and bonded to a second skin thread transverse to the first skin thread, the first skin thread occupying the majority of the surface area of ​​said zone of said attachment area.

The digital human skin adjusting method at least comprises the steps that after a user inputs a to-be-processed skin image, a texture object can be determined from noise objects in a noise layer according to the to-be-processed skin image; according to the embodiment of the invention, texture parameters in the adjustment parameters input by the user can be obtained; determining a target texture object from the texture objects according to the texture parameters; and generating a target skin image according to the target texture object and the to-be-processed skin image. Therefore, the generation process of the texture object does not need user participation, details such as the skin texture are increased, the sense of reality of the digital human is improved, and the working efficiency 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 invention provides a personalized portrait face video reconstruction method based on meta-learning, and relates to the technical field of video reconstruction, a processed source image and a processed driving video corresponding to the processed source image are divided into T tasks which are not overlapped with each other, so that the generalization ability and the personalized adaptive ability of a model can be remarkably improved, and the reconstruction efficiency is improved. A rough three-dimensional face model is constructed on the basis of a universal FLAME three-dimensional face model, basic face structures and dynamic expression changes can be accurately simulated, individual detail features are effectively recovered, fine texture recovery capacity is provided by means of the UV mapping technology, skin textures, pores, nevi and other features are more vivid, and the method is suitable for being applied to a human body. And performing dynamic deformation on the three-dimensional face model according to the motion information of the driving video. Meanwhile, a meta-learning module is adopted, and the performance of the model is optimized through internal and external circulation, so that the model can quickly adapt to a new task under the condition of few samples, and the generalization ability and the migration efficiency are remarkably improved.

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.

The present invention relates to a cosmetic composition having a film-forming function containing a frankincense extract as an active ingredient. According to the present invention, the extract obtained by performing ultrasonic treatment on the frankincense resin and simultaneously performing extraction by using the mixed solvent of ethanol and hexane can be used for manufacturing a plurality of cosmetic dosage forms such as hair care and beauty makeup. Therefore, the hair can be protected from being damaged by various physical and chemical stimulations such as heat, dyeing, perm and ultraviolet exposure applied to the hair, so that the hair is kept glossy and elastic. Further, it is possible to protect the skin from being damaged due to ultraviolet exposure or physical stimulation applied to the skin, suppress moisture evaporation, maintain smooth skin texture, and exhibit high adhesion by being adhered to the skin at a thin thickness, thereby contributing to improving the fixing and persistence of makeup, and improving the makeup effect. In this way, pore care, protection of fingernails and toenails and the like are achieved, and therefore the skin of the body keeps glossy and elastic.

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.