172 results about "Skin texture" patented technology

In some embodiments, the method can comprise locating a targeted portion of skin surface; delivering ultrasound energy to subcutaneous tissue below the skin surface; producing a biological effect in at least one of the skin surface and the subcutaneous tissue; and improving the appearance of the targeted portion of the skin surface. Improving the appearance of the skin surface can be at least one of increasing skin elasticity, reducing skin oiliness, reducing skin pore size, smoothing skin texture, reducing hyperpigmentation, treating and / or preventing acne, reducing a blemish, reducing an appearance of spider veins and / or rosacea, reducing an appearance of scars, reducing an appearance of stretch marks, rejuvenating skin, increasing collagen in the subcutaneous tissue, tightening of sagging sink, rejuvenating photoaged skin, increasing a thickness of a dermal layer, reducing a wrinkle on the skin surface, generating new tissue in the subcutaneous layer, and combinations thereof.

The invention discloses a figure scene generation system based on AI interaction. The figure scene generation system comprises a user interaction design module, a figure image shooting module, a figure image analysis and processing module, a figure image processing module, an image integration and correction module, an image generation module and a management database. The figure image shooting module is used for acquiring a user image and a microstructure of a skin surface by using a high-definition camera, the microstructure comprises a skin glossiness reference value, a wrinkle level reference value, pore characteristics and pigmentation, and the user image contains a hair coverage rate; according to the method, an algorithm is used for calculating pore features, color conversion is carried out on a microstructure to obtain pigmentation, a user age evaluation correlation coefficient is obtained through calculation of skin glossiness, a wrinkle level, the pore features, the pigmentation and a hair coverage rate, and a more accurate age evaluation result is provided by improving an age prediction method. The features of skin texture, pigmentation and the like can be quantified more accurately, so that the accuracy of age assessment is improved.

The invention relates to the technical field of artificial intelligence, and provides a beauty makeup product recommendation method and device based on skin identification, equipment and a medium, which can call a multi-modal feature extraction engine to extract multi-modal features of a target facial image, and call a skin identification model to process the multi-modal features to obtain a target skin identification result. The skin condition can be accurately identified based on multi-modal features; inputting the target skin identification result into an inference engine loaded with an inference rule base to obtain a user demand tag list sequenced according to tag weights, so that the credibility of inference can be improved based on professional knowledge; the user demand tag list is converted into the query vector, and the multi-path recall strategy engine is called to execute recall in the commodity feature vector library based on the query vector, so that the comprehensiveness and accuracy of commodity recall are improved; and the candidate makeup product set is optimized based on a multiple optimization constraint mechanism to obtain the recommended makeup product list, so that the accuracy of the recommended makeup products can be further improved.

The invention relates to the technical field of cosmetics, in particular to an inula flower extract, a preparation method thereof and a cosmetic composition. The invention relates to an inula flower extract for reducing skin texture (smoothing skin), resisting wrinkles, enriching apple muscle, lifting mandibular line, reducing pore depth and improving skin elasticity, the extract comprises an aqueous extract of inula flower and / or an organic solvent extract, and the volume fraction of the organic solvent is 0.01%-100%. The inula flower extract disclosed by the invention is rich in phenolic acid, flavone, polysaccharide and sesquiterpenoids, and has the effects of reducing the skin texture degree (smoothing the skin), resisting wrinkles, enriching apple muscles, lifting the mandibular line, reducing the pore depth and improving the skin elasticity.

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 discloses a processing method for paleontoid epidermis graphic data, which is characterized in that in a data acquisition link, three-dimensional scanning equipment is applied to grasp original three-dimensional graphic data for subsequent processing, an analysis foundation is laid, a preprocessing stage is of great significance, high-frequency noise caused by a scanning environment and equipment precision is eliminated through de-noising processing, and the processing efficiency is improved. And when the obtained smooth three-dimensional data is converted into the two-dimensional texture mapping graph, errors and distortion are reduced, and the data availability is improved. In the textural feature extraction step, a gray-level co-occurrence matrix algorithm is applied to the field, textural feature parameters such as contrast, correlation, energy and entropy are calculated, quantitative description of paleontoid epidermis textures is realized, abstract textures are converted into comparable and analyzable numerical values, and key characteristics for identifying species are mined. In the texture classification stage, based on the extracted feature parameters, a model is constructed by means of machine learning algorithms such as a support vector machine and a random forest, and paleontological epidermis textures are accurately classified.

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 problem addressed by the present invention is to provide: soap composite particles that can both improve skin texture and sustain the functionality of the soap composite particles; a method for producing the soap composite particles; and a cosmetic containing the soap composite particles. These soap composite particles have core particles containing a saturated higher fatty acid salt and an inorganic oxide externally added to the core particles. In the core particles, the total content of Li2O, Na2O, Al2O3, MgO, CaO, ZnO, BaO, TiO2, SiO2, Fe3O4, Fe 2O3, and FeO is 0-15 mass%, and the core particles are spherical with a circularity of 0.80-1.00.

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 relates to the technical field of garment materials, and discloses a bionic polymer for a garment material and a preparation method of the bionic polymer. Through the synergistic effect of the bionic micro-nano composite particles and the light / temperature double-response microspheres, the garment fabric is endowed with multiple dynamic functions: based on a photonic crystal structure and bionic shark skin textures, the fabric can realize intelligent optical regulation and control and fluid resistance reduction; the reversible cross-linked network enables the material to have self-repairing capability, and the service life is obviously prolonged; meanwhile, the biological enzyme auxiliary degradation unit is combined with the polylactic acid chain segment, so that efficient and controllable degradation of the fiber in the waste stage is realized, and the bottleneck that a traditional bionic polymer is difficult to recycle is broken through. In addition, the micro-fluidic spinning process enables the distribution uniformity of functional units to be improved by more than 50% by accurately regulating and controlling the sea island structure, and ensures the stable synergy of air permeability, waterproofness, mechanical strength and other properties. According to the invention, high wear resistance is maintained, and environment self-adaption and green and sustainable characteristics are realized at the same time.

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 invention relates to the technical field of cosmetics, and particularly discloses waterproof oil-control powder with a soft coke effect as well as a preparation method and application of the waterproof oil-control powder. The invention relates to waterproof oil-control powder with a soft coke effect. The waterproof oil-control powder is prepared from the following raw materials in percentage by mass: 60%-70% of synthetic fluorophlogopite, 8%-12% of vinyl polydimethylsiloxane / polymethylsiloxane silsesquioxane cross-linked polymer, 18%-22% of silica, 1%-3% of triethoxyoctyl silane, 4%-5% of zinc oxide, 0.5%-1% of trimethylsiloxy silicate ester and 0.5%-1% of capryloyl glycine. The waterproof oil-control powder with the soft-focus effect not only has good oil-control performance, but also can form a layer of waterproof film on the surface of skin to effectively prevent sweat and moisture from damaging makeup, and meanwhile, the skin texture is improved through the soft-focus effect, so that the makeup is more natural and lasting.

The invention discloses a preparation method of a nano-liposome coated NAD amino acid nutrient solution, and relates to the technical field of liposome amino acid nutrient solution preparation, the preparation method comprises the following steps: S1, preparing raw materials: S1.1, preparing NAD amino acid; s1.2, lecithin: using pure natural lecithin from soybeans and eggs; s1.3, preparing sodium hyaluronate: adopting sodium hyaluronate with low molecular weight; s1.4, preparing an amino acid compound, wherein the amino acid compound contains a plurality of essential amino acids, including glycine, serine and lysine; according to the mask, when the NAD amino acid nutrient solution wrapped by the nano-liposome is applied to the mask, the mask can more effectively permeate into the deep layer of the skin due to the excellent stability and biological activity of the NAD amino acid nutrient solution, and sufficient nutrition and moisture are provided for the skin; meanwhile, due to the strong anti-aging effect, the mask can remarkably improve the skin texture, reduce fine wrinkles and wrinkles, and make the skin more compact, smoother and elastic.

The invention relates to the technical field of cosmetics, in particular to a skin repairing composition for whitening and resisting light damage and a preparation method. The composition comprises polypeptides such as acetyl tetrapeptide-11, glutathione, decarboxylated carnosine, tripeptide-1 and the like, the effects of whitening and brightening the skin, resisting light aging and repairing the skin are achieved through multi-way, multi-azimuth and multi-target combined action and mutual cooperation, and the effects of improving the skin quality and repairing the skin can be better achieved. The composition disclosed by the invention can be widely applied to various cosmetics.

The invention provides a multifunctional cool fiber, a preparation method thereof and a fabric, and the method comprises the following steps: nylon slices are melted and extruded into a fiber core layer melt in a high-temperature melting and low-temperature extrusion mode; a functional skin layer material is melted and extruded into a fiber skin layer melt in a high-temperature melting and low-temperature extrusion mode, and the functional skin layer material comprises alkali-soluble polyester, nano titanium dioxide and nylon components; the fiber core layer melt and the fiber skin layer melt are subjected to composite forming through a skin-core structure composite spinning assembly and are subjected to alkali washing, and the multifunctional cool fiber is obtained. The cool feeling performance of nylon is utilized, certain functional components such as sunscreen components and quick-drying components are compounded on the surface of the nylon core layer, and the texture morphology of the fiber surface is highlighted, so that the formed fabric has excellent multiple wearability of moisture absorption, quick drying, UV resistance and cool feeling.

An object of the present invention is to provide a cacao derived composition containing a free ceramide, as well as a moisturizing agent, a skin quality improving agent, a hair quality improving agent, a cosmetic for skin, a cosmetic for hair, a pharmaceutical composition and a food composition each containing the cacao derived composition, and the present invention provides a moisturizing agent, a skin quality improving agent, a hair quality improving agent, a cosmetic for skin, a cosmetic for hair, a pharmaceutical composition and a food composition each containing a cacao derived composition, wherein the cacao derived composition contains a cacao derived component, and wherein the cacao derived component contains a ceramide AP.

1. Name of the designed product: Master cup (muscle texture waist type). 2. Use of the designed product: for drinking tea. 3. Design points of the designed product: in shape. 4. Picture or photo that best shows the design points: perspective view.

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 disclosure relates to compositions and methods for synthesizing a composition useful for treating disorders of the skin comprising a peptide having melanin inhibition and antioxidant properties, the composition further comprising cell culture medium isolates from adipose derived mesenchymal stem cells (ADMSCs) comprising eluent compositions useful for regenerative medicine therapies of medical conditions. The disclosure further relates to methods of treatment with the compositions useful as skin therapeutics for treating skin pigmentation disorders and improving skin tone and 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 provides a flexible oil bead composition as well as a preparation method and application thereof, and the flexible oil bead composition comprises the following components in parts by weight: 1-5 parts of a first component and 95-99 parts of a second component, the first component comprises bismuth oxychloride; the second component is prepared from hydrogenated polyolefin, a polydimethylsiloxane / vinyl polydimethylsiloxane cross-linked polymer and an HDI (Hexamethylene Diisocyanate) / trihydroxymethyl hexyl lactone cross-linked polymer. The flexible oil bead composition can effectively brighten the skin color and improve the skin texture, so that the skin is finer and smoother, has good stability and is not easy to break.

The present invention relates to the technical field of picking machinery, and specifically to a picking manipulator based on artificial intelligence vision recognition, including a mounting base. The present invention comprehensively analyzes and calculates the overlapping area of the picking area corresponding to the outer contour of each picked fruit, the number of overlapping feature points in the skin texture of each picked fruit, and the light intensity of each picked fruit corresponding to each picking area to obtain the picking state evaluation index of each picked fruit corresponding to the picking area. Then, the picking state evaluation index of each picked fruit corresponding to the picking area is compared with the set picking state evaluation index threshold to obtain the corresponding picking signal, enabling the picking manipulator to adjust the control parameters according to the corresponding picking signal to determine whether to perform the picking operation on the fruit and the recycling position of the fruit after picking, significantly improving the picking efficiency of the picking manipulator for the fruit, and being able to automatically classify the picked fruit, improving the picking effect of the fruit.

1. Name of the Design Product: Plate (Texture). 2. Use of the Design Product: For daily-use ceramic articles. 3. Design Key Points of the Design Product: The combination of shape, pattern and color. 4. Picture or Photograph Best Indicating the Design Key Points: Reference Drawing of the Use State. 5. The design for which protection is claimed includes color. 6. Design 1 is designated as the basic design.

The present disclosure provides a facial image processing method, device, electronic device and storage medium, the method comprising: performing frequency division and partitioning processing on a facial image to be processed, determining a facial organ area and a facial skin area in the facial image, and determining a target area that belongs to the facial skin area but does not belong to the facial organ area from the facial image, and removing the intermediate frequency component in the target area to obtain a target facial image. The facial image contains information of all frequency bands, namely, low-frequency, intermediate-frequency and high-frequency information, wherein the intermediate frequency component corresponds to information of uneven skin color in the facial image, and the high-frequency component corresponds to skin texture in the facial image. According to the scheme of the present disclosure, only the intermediate frequency component in the target area is removed, that is, the facial blemishes in the target area are weakened while retaining the skin texture, and the realism of the skin is retained to the greatest extent, and the facial organ area is not blurred, thereby ensuring the clarity of the facial organ area.

1. The name of the product of this design: Electric kettle (leather texture double-layer anti-scalding). 2. Purpose of this design product: for electric kettle. 3. The design key point of this appearance design product lies in the combination of shape and pattern. 4. The picture or photo that best illustrates the design points: Stereoscopic diagram 1. 5. It has been shown in the stereoscopic figure 2, and the bottom view is omitted.

To provide a new combination of active ingredients capable of being incorporated into a topical preparation for skin, activating epidermal cells, enhancing energy metabolism of epidermal cells, normalizing skin turnover, improving skin texture, and enhancing skin translucency.SOLUTION: A topical preparation for skin comprises, as active ingredients, (a) niacinamide and (b) D-panthenyl alcohol.SELECTED DRAWING: None

The present disclosure relates to a composition for increasing the efficacy of a retinoid by comprising a retinoid and a material for increasing the efficacy of a retinoid, i.e., a retinoid enhancer. The composition for improving skin wrinkles according to the present disclosure can significantly improve the skin wrinkle improving effect of retinoid by inhibiting a mechanism of oxidative decomposition of retinoic acid by a CYP family enzyme through a specific retinoid enhancer compound.

The present invention addresses the problem of providing a method for evaluating the skin properties of an eye in which the formation of fine wrinkles can be predicted, and the purpose of developing a cosmetic for preventing the formation of fine wrinkles and adjusting the texture on the basis of a mechanism relating to such an evaluation method is also the purpose of developing a cosmetic for preventing the formation of fine wrinkles and adjusting the texture. The problem addressed by the present invention is that ADAMTSL6 is found as an elastic fiber formation cofactor, and the skin properties of the eyes can be evaluated using ADAMTSL6 as an index. Also provided are a method for screening for an agent for improving the skin properties of eyes using ADAMTSL6 as an index, and a novel agent for improving the skin properties.