449 results about "Face skins" patented technology

The invention discloses a face detection and recognition method based on skin color segmentation and template matching. A face is segmented with the use of a face skin mixing Gauss model according to the clustering characteristics of face skin color in an YCbCr color space and a region of which the color is close to face skin color is separated from an image so as to achieve the purpose of quickly detecting the outer face of a face. A light compensation technology is used to overcome the influence of brightness on face detection and recognition. Adaptive template matching is used to overcome the influence of a skin-color-alike background on face detection and recognition. A secondary matching algorithm is adopted to reduce the amount of computation during the matching process, and singular value features of a face image are extracted to recognize a face and achieve the purpose of reducing the number of dimensions of a characteristic value matrix in the process of face feature extraction. The face detection and recognition method can quickly detect a face, improves the accuracy of face detection and recognition, is strong in practicability and has strong popularization and application values.

A lightweight ballistic resistant rigid structural panel especially for use in aircraft interiors is disclosed. The rigid structural panel is made up of a core layer including a plurality of sheets of flexible, high-tensile strength fabric interleaved with a plurality of sheets of a thermal-fusible film adhesive, and a sheet of cushioning material adhered to the plurality of sheets of flexible, high-tensile strength fabric. Fiber-reinforced face skins are adhered to exterior surfaces of the panel core for structural strength and rigidity. The rigid structural panel is capable of resisting ballistic attack from handguns and like weapons, while maintaining a high degree of strength and rigidity.

The invention relates to a removing method for a glasses frame in a face image. The method comprises the steps of: detecting and positioning eyes in the input face image with a pair of glasses, geometrically correcting the face image on the basis of the positioned result to form a first image; extracting an eye estimation area from the first image to obtain a second image, and conducting mathematical morphology processing on the second image so as to determine the position of a glasses frame; based on the first image, establishing a face skin color model; in the second image, interpolating each pixel point of the glasses frame the position of which is determined, correcting the interpolation result in a part of pixel points of the glasses frame according to the skin color model, and conducting de-noising processing to form a ninth image; and replacing the eye estimation area in the first image by the ninth image, synthesizing and outputting the face image the glasses frame of which is removed. According to the technical scheme, the glasses frame in the face image with a pair of glasses can be conveniently and effectively removed, and the face recognition rate can be further improved.

The invention relates to the technical field of face recognition, in particular to a rapid detection method of a face in a high-resolution color image under a complex background. The invention comprises the following steps: building a face skin color mixed model which is composed of two color space restrictions of RGB and YCbCr according to a large amount of acquired skin color sample data to determine the skin color pixel; rapidly skipping non-face regions by adopting a whole skin color pixel ratio to improve the location efficiency of a face candidate region; then using the improved face rapid detection algorithm which is based on forward characteristic selection to realize face preliminary judging of the face candidate region; and finally utilizing a false alarm restraining method which is based on space restriction and geometric restriction to further lower false detection rate and complete face detection. The invention can realize rapid location of a plurality of frontal faces in images at a high detection rate under the condition of low false alarm rate; the good performances of the invention are proved by the results of the test set of Bao open database and a plurality of video frequencies and high resolution color images.

The invention discloses a skin type detection and individuation evaluation system and method based on a cloud platform. The detection and individuation evaluation system and method based on the cloud platform are characterized in that a face skin image of a user is directly collected and effective data is extracted from the image and sent to a skin type detection cloud platform through a skin type detection terminal or a user APP; the individuation evaluation system conducts processing on the effective data in the skin type detection cloud platform through the adoption of a series of skin index analysis and process algorithms, and feeds a processing result back to the skin type detection cloud platform after an evaluation result is obtained; the skin type detection cloud platform synchronously sends the processing result to the skin type detection terminal or the user side APP; the user examines the test evaluation result by controlling a client end or the user APP. According to the skin type detection and individuation evaluation system and method based on the cloud platform, a face skin detection instrument and a machine learning technology are combined, a big data analyzing and processing technology and a machine learning method are adopted, an instrument detection result and an evaluation index are continuously optimized, a more accurate detection and nursing method are provided for the user, and a richer and more scientific specimen is provided for the study of face skin health.

A lightweight ballistic resistant rigid structural panel especially for use in aircraft interiors is disclosed. The rigid structural panel is made up of a core layer including a plurality of sheets of flexible, high-tensile strength fabric interleaved with a plurality of sheets of a thermal-fusible film adhesive, and a sheet of cushioning material adhered to the plurality of sheets of flexible, high-tensile strength fabric. Fiber-reinforced face skins are adhered to exterior surfaces of the panel core for structural strength and rigidity. The rigid structural panel is capable of resisting ballistic attack from handguns and like weapons, while maintaining a high degree of strength and rigidity.

The invention provides a face detection method based on a Gaussian model and a minimum mean-square deviation, and relates to a face recognition technology. A face detection method based on the Gaussian model and the minimum mean-square deviation under the premise of a complicated background, a side face, a stopper and a plurality of faces. The method comprises the following steps of: building a YCbCr Gaussian model: building the YCbCr Gaussian model for face skin color distribution according to collected skin color sample data, and performing lighting compensation on the image, wherein in the YCbCr, Y is a brightness component, Cb is a blue chroma component, and Cr is a red chroma; performing skin color segmentation on the image by using the built YCbCr Gaussian model and the minimum mean-square deviation; performing binaryzation on a skin color region, and processing a binary image by opening to eliminate a small bridge and discrete points; rejecting detected non-face regions in the similar skin color or skin color according to future knowledge of a face; and finally marking a face position by using a rectangular frame.

The invention discloses a detection and gender identification method of a human body object in video supervision, which comprises: (a) establishing a column diagram of foreground skin and background in an HSV color space according to a collected image database; (b) utilizing the Bayes classifier to process foreground and background judgement for each pixel point of an input video, so as to cut out a human body skin region in the video; (c) utilizing biological specificity of human body skin-color to cut the foreground skin and the background again in a complex color space (E, R / G, H) so as to eliminate interference of the objects with similar skin-color in the background to obtain an accurate human body object; (d) utilizing a mode identification method according to the face image in the obtained human body object to process gender identification. The invention takes the feature of face skin of the human body as a main mark of the human body and detects the human body object in the video image so as to overcome the adverse effect caused by illumination changes and the interference of similar color in the background, and improves correct identification of the gender of the object.

The present invention is directed to a beauty mask having a circulator using a thermoelectric element, more specifically the beauty mask in which a urethane pack filled with silicon oil is attached on inner surface of a face mask, a tube allowing the silicon oil cooled or heated by the thermoelectric element to flow in or out the pack is connected to the urethane pack, and the urethane pack is cooled or heated according to a temperature of the inflow silicon oil and provides cold and hot packing effect to the face, so that a metabolism of a face skin is facilitated, the resilience of the skin is improved, and wrinkle can be eliminated. By using of the beauty mask according to the present invention, an aging phenomenon of the skin can be suppressed, waste material stuck in a hypodermis of a facial skin can be discharged therefrom, and a blood circulation of the facial skin is smoothly achieved due to cold and hot packing effect

The invention relates to the technical field image processing, and discloses a face skin detection method based on an artificial neural network. Artificial neural network technique and the image processing technology are combined, and an artificial neural network prediction model which is completed in training of face skin detection is used to predict skin of a face image to be detected. The accuracy of skin detection can be ensured, and the skin detection result of a face image can be quickly obtained. Shooting multiple face images is not needed, the complexity and professional degree for preparing work are significantly reduced, and the convenience of skin detection and the user experience are enhanced. In addition, the method can be directly applied to mobile terminals such as smart phones, cameras of mobile terminals, microprocessors and a cloud computing platform in wireless communication with the mobile terminals are used to achieve detection at anytime and anywhere. Professional guidance for purchasing cosmetic skin care products can be provided to users, and extra professional hardware equipment is not needed, and zero cost detection is achieved.

A bacterial cellulose gel mask for beautifying face skin is prepared from the gluconate pyracetobacillus through culturing in coconut water to generate film, treating with hot alkali solution, acid neutralizing, washing to obtain bacterial cellulose gel, cutting to form a face mask and attaching a lining film. Its advantages are slow release and high effect.

The invention relates to a method of capturing a human face by jointly using a panoramic camera and multiple snapshot cameras. According to the method, the panoramic camera acquires a panoramic videoof a monitored area, a moving direction of a related figure target in the panoramic video is analyzed, the snapshot camera in front of moving direction of the related figure target is driven to take pictures of the face of the figure target so as to acquire a human face image of the figure target applicable to human face identification, a human face skin color area and a lip skin color area are identified in the taken human face pictures according to a clustering feature of skin color pixels, so as to determine human face deflection degree in the human face picture to select a best human faceimage. The method can acquire human face images suitable for human face identification, greatly improves success rate of human face capturing and human face information integrity, and provides more effective and reliable human face images for human face identification based on video monitor.

An information terminal device includes an imaging unit which captures a face image of a user, a main memory which extracts and stores an eyeball area and an under eye region from the face image, and a control unit which detects an amount of color change in a pupil and iris color at a current point in time relative to the pupil and iris color in the eyeball area at a past point in time after factoring in an amount of color change from face skin color in the entire face image that includes the eyeball area and the undereye region captured by the imaging unit at the current point in time compared to the entire face image that includes the eyeball area and the under eye region captured at a past point in time.

The invention provides a face recognition method and device. The method comprises the steps as follows: a to-be-recognized image containing a face is acquired; the to-be-recognized image is subjected to skin color segmentation on the basis of preset color space, and an area with the face skin color to be analyzed is determined in the to-be-recognized image; the area with the face skin color to be analyzed is subjected to face detection, and a face area is located; and the face area is subjected to face recognition, and a face recognition result is obtained. According to the method, the face recognition speed can be increased, and the face recognition reliability is improved.

The invention belongs to the field of computer image processing, and particularly relates to a zonal statistic model based a facial reconstruction method. In the method, by a priori knowledge of calculating human facial model shapes, the skull to be reconstructed is subjected to face skin reconstruction, which means that: partitioning the skull and the face skin model according to different organs, and establishing a zone based statistic model; and respectively reconstructing each face skin zone of the skull zone, and splicing each face skin zone into a facial integral model. After the skull face skin is partitioned, the representation capability of the statistic model is improved, and the error of the reconstruction result is reduced. The zonal statistic model based facial reconstructionmethod has important application value in archaeology, forensic medicine, virtual surgery and other fields.

The invention discloses a cleansing oil, which comprises the following components in parts by weight: 50-85 parts of grease, 5-30 parts of a polyglycerol emulsifying agent, 0.1-3 parts of phytosteryl / docosyl / octyldecanol lauryl glutamate, 0.1-4 parts of glyceryl behenate / eicosadioate, 0.1-5 parts of water, 0.01-0.2 part of an antioxidant, 0.01-0.2 part of a skin conditioner, 0.01-1.0 part of an essence, and 0.001-2 parts of a plant extractive solution. Through the addition of the special content of phytosteryl / docosyl / octyldecanol lauryl glutamate and the special content of glyceryl behenate / eicosadioate into plant-derived polyglycerol emulsifying agent and grease, the cleansing oil of the invention has excellent moisturizing and skin caring effects, but is not greasy, and does not cause skin allergy and irritation. Meanwhile, the cleansing oil has thixotropic property, so as to provide unique silk-like feeling during face skin massage.

The invention discloses an automatic gloss removing method and system for a face area and a shooting terminal. The method comprises that the skin area of an image to be processed is obtained; the brightness of the face skin area is analyzed to obtain a highlight area; edge detection is carried out on the highlight area, and according to a result of edge detection, areas of white objects are rejected to obtain a glossy area; and highlight is removed from the glossy area to obtain a recovery image. Thus, gloss can be identified accurately and eliminated effectively, and the processing effect is better.

The disclosure relates to a face image processing method and device. The method comprises: a face region of a face image is determined; sub-region division is performed to the determined face region; filtering which meets a processing requirement of each sub-region is performed to each divided sub-region. In the disclosure, when the terminal device processes a face image, first, region division is performed to the face, and then filtering which meets a processing requirement of each sub-region is performed to each sub-region. Thus, the entire face is no longer under a same filtering and the entire face is filtered according to the processing requirement of each sub-region to produce different filtering effects. For example, different blurring effects in different positions such as forehead skin, face skin, eyes, mouth, and eyebrows can be obtained; the skin region is made smoother and more sense of reality is kept at the same time.

The invention provides a manufacturing technology of a 3D printed mask. The technology includes the following steps that under sterile vacuum conditions, according to human facial profiles, collagen gel and mask essence are sequentially stacked and printed through a 3D printer to obtain the 3D printed mask. The mask is manufactured through the 3D printing technology, the mask can be obtained by sequentially stacking and printing the collagen gel and the mask essence, the method is simple, and consumed time is short. Besides, the high-temperature process is not needed during printing, and effective components of the mask essence can be completely stored. Besides, a porous mask support is formed through the collagen gel in the vacuum condition, and the mask essence can be adsorbed to the largest extent. The obtained 3D printed mask is specialized according to individuation of the human facial profiles, and can completely fit with pores on human face skin.

The invention discloses a bio-cellulose mask. The bio-cellulose mask comprises mask cloth and essence, wherein the mask cloth is bio-cellulose mask cloth; the essence comprises components of raw materials in percentage by weight as follows: 1%-30% of a saccharomycete / rice fermentation product filtrate, 0.001%-1% of a thickening agent, 1%-30% of a polyalcohol humectant, 0.1%-5% of cosmetically acceptable carriers and the balance of water, and the sum of the components in percentage by weight is 100%. The saccharomycete / rice fermentation product filtrate is added to the essence of the prepared bio-cellulose mask, the absorbance can be twice as high as that of a common mask after the essence is combined with the bio-cellulose mask cloth, further, the condition that part of the mask cloth is separated from the face skin in a use process is avoided, the face skin is moistened and smooth after application of the mask, no excessive liquid residue is left on the face, and the use is clean and convenient.

An apparatus for obtaining a three-dimensional (3D) face model using a portable camera, comprising: a face image capturing unit; a face image processing unit; a 3D face mesh creating unit configured to analyze relationships of the face images to create a 3D user face mesh; a standard face model matching unit configured to match a 3D face standard model to the 3D face mesh created by the mesh creating unit to create a final high-quality user face model; a face skin texture synthesizing unit configured to create a face skin texture from the captured images; and a realistic face rendering unit configured to perform realistic rendering by using the user's high-quality 3D face model and the skin texture.

The invention discloses a face image processing method which comprises the following steps of performing face detection on a current image frame and generating a face reference area; performing key point detection on the face reference area, and identifying face key points; dividing an initial face skin area in the image frame from the face reference area according to the face key points; calculating an initial hair area in the image frame according to the face reference area and prior knowledge; performing probability distribution estimation on characteristic vectors of pixel points in the skin area and the hair area by means of a Gaussian mixture model; performing image dividing on the image frame according to a probability distribution estimation result, and obtaining a head area of the image frame; and amplifying the head area by means of an interpolation algorithm, thereby obtaining a processed image frame. The invention further discloses a corresponding face image processing device.

The invention discloses a moisturizing and water locking mask liquid and its making technology. The moisturizing and water locking mask liquid comprises 0.02-0.25% of Carbomer 940, 5-65% of an alcohol moisturizing agent, 0.01-1.2% of hyaluronic acid, 15-80% of deionized water, 0.1-15% of hydrolyzed pearl, 0.1-1.0% of dipotassium glycyrrhizinate, 1% of triethanolamine and 0.2-20% of a plant extract liquid. The making technology comprises the following steps: adding the Carbomer 940 to a 90DEG C vacuum emulsification pot containing the deionized water under an aseptic condition; carrying out vacuum pump-in of propylene glycol and 1,3-butylene glycol; and adding triethanolamine at 80DEG C, adding hyaluronic acid at 70DEG C, and adding dipotassium glycyrrhizinate, the hydrolyzed pearl, an aloe extract liquid and a Hamamelis mollis extract liquid at 50DEG C to obtain the moisturizing and water locking mask liquid. The mask liquid can reach the moisturizing, water locking and whitening of face skins, and does not irritate the face skins. The making technology is carried out under the aseptic condition, so the quality of the mask liquid is effectively guaranteed.

The invention relates to the information processing technology, in particular to an image processing method and device. The method includes the first step of converting an image to a gray image, obtaining the sum of variance of pixel points in a region formed by first preset values and second preset values according to the gray value of the gray image, wherein the pixel points of a human face skin region in the gray image extend in the positive direction and negative direction of x-axes of the pixel points to obtain the first preset values, and the pixel points of the human face skin region in the gray image extend in the positive direction and negative direction of y-axes of the pixel points to obtain the second preset values, the second step of obtaining a dermabrasion weight value according to the sum of variance in the human face skin region, the third step of regulating the gray value of the gray image according to the dermabrasion weight value, and the fourth step of finally converting the gray image to a color image according to the regulated gray value to achieve processing of the image. Through the method, the image is converted to the gray image, and the gray value of the image is regulated and the image is processed according to the sum of variance of the pixel points in the human face skin region, so that processing speed and the quality of the processed image are both enhanced.

The invention discloses a method and device for acquiring a human face skin color region from an image, wherein the method and the device can be used for filtering an image to be detected simply and rapidly and enhancing image recognition accuracy rate and an image filtering effect. The method for acquiring the human face skin color region from the image, provided by the embodiment of the invention, comprises the steps of: performing region segmentation on the image to obtain a skin color region of the image to be detected; recognizing a human face region in the image to be detected; acquiring the human face skin color region according to the human face region and the skin color region in the image to be detected; and judging whether a specific value of the human face skin color region to the skin color region is more than a preset proportion threshold or not, if so, accepting the image to be detected, and if not, rejecting the image to be detected.

The invention discloses a method, device and system for processing a skin regional image. The method includes the steps of analyzing a face region of an acquired figure image to obtain brightness distribution and / or hue distribution of the face region; segmenting the figure image using a preset image segmentation algorithm to obtain a specified skin region; analyzing the brightness distribution and / or hue distribution of the specified skin region; and adjusting the brightness distribution of the specified skin region based on the brightness distribution of the face region, and / or adjusting the hue distribution of the specified skin region based on the hue distribution of the face region. According to the embodiment of the invention, the provided method, device and system are capable of performing targeted image processing for the specified skin region through an analysis of statistical information of the brightness and hue of the face skin and the specified skin region, so that the beautified face skin and other regional skin are uniform and natural.

The invention provides a face skin type analysis method and system based on depth learning and the generation confrontation network. The method comprises steps that the image acquisition step, a to-be-analyzed face image is acquired; the block division step, the to-be-analyzed face image is analyzed, and skin blocks of the to-be-analyzed face image are divided according to organs; the analysis step, different skin analyzers are inputted to different skin blocks and are used for analyzing skin states of the corresponding skin blocks; and the result output step, the analysis results of all the skin analyzers are outputted. The method is advantaged in that on the condition that face skin type data is not easy to acquire and distribution is free, through the generation confrontation network, auxiliary data is generated, a depth learning model is utilized to replace a traditional image processing algorithm for skin type analysis application, face skin details can be analyzed, in combination with the generation confrontation network, for different-characteristic skins, the limited data is utilized to generate training data, and the better training effect is acquired.

The invention provides a human face and body fusion processing method. The method comprises the steps of obtaining a human head region; migrating a standard model body color to a human face skin color; setting a fusion background region; and performing Poisson fusion. The invention provides a human face and body fusion processing method and system. On one hand, the difference of human face skin colors of different people is relatively large and the fused target body color is fixed, so that for solving the problem of unnatural fusion of a human face image and a target body due to excessively large color (height) difference, the method for migrating the standard model body color to the human face skin color is adopted for ensuring that preprocessing before fusion can achieve the purpose of color natural transition. On the other hand, by limiting a boundary condition, transitional pixels of a human face jaw and the human head region are fused with a neck intersection region of a human body to remove the influence of the transitional pixels of the human face jaw.

The invention discloses a method for detecting a skin color in an image. The method comprises the steps of (1), converting a to-be-detected color image from an original color space to a classified color space of the skin color; (2), detecting a human face, eliminating non-skin parts on the human face, and obtaining a human face skin area; (3) on the color image after color space conversion, acquiring the color of pixels in the human face skin area defined in the step (2) as a skin color sample; (4), establishing a skin color classifier according to the acquired skin color sample; and (5), classifying the whole image in a pixel-by-pixel manner by means of the skin color classifier established in the step (4), marking the pixel points which are classified to the skin color with white color on a skin color detection result image, and otherwise, marking with black color, thereby obtaining the skin color detection result image. The method of the invention can accurately detect different skin colors in the color image which is photographed by different kinds of imaging equipment on various illumination conditions.

The invention discloses a spontaneous heating thermal insulation three-dimensional mask which comprises at least three layers of structures, namely an outer layer consisting of a breathable material, a heating layer and a thermal insulation layer, wherein the heating layer is loaded with a heating composition heating by being contacted with air, at least the upper cover contacted with the outer layer, of the heating layer is made of a breathable material, and the thermal insulation layer consists of a material with waterproof and thermal insulation performances. The spontaneous heating thermal insulation three-dimensional mask is simple in structure, is not limited by environmental resources and realizes safe, stable and uniform heating, outside energy is not needed to provide energy, the heating time can be effectively prolonged, and the heating peak temperature is reduced. When the spontaneous heating thermal insulation three-dimensional mask is applied to face skin, blood circulation can be improved, so that skin pores are enlarged, and sweat and dirty oil are discharged. When the traditional nourishing mask and a skin care product are used together, active ingredients of the traditional mask and the skin care product can be absorbed by the skin, the amount of the skin care product is reduced, a skin care effect can be improved, and the mask is safe and sanitary to use and low in cost.