425 results about "Skin complexion" patented technology

The invention discloses a driving safety monitoring system based on face orientation and visual focus, which comprises a vision sensor and an intelligent processor. The intelligent processor comprises an image acquisition module, a complexion area detection module, an edge extraction module, an eye detection module, a face orientation analysis module and a driver safety driving judgment module, wherein the complexion area detection module is used for converting an RGB color space into a YCrCb color space and detecting a complexion area; the edge extraction module is used for adopting a Canny operator to carry out edge extraction so as to acquire a head image outline; the eye detection module is used for carrying out Hough conversion for the marginalized face and positioning eyes; the face orientation analysis module is used for determining a mouth area, positioning the mouth, calculating left and right areas of the face respectively by using the eyes and the mouth as reference, and calculating the ratio of the left and right areas of the face; and the driver safety driving judgment module is used for judging an unsafe driving state if the calculated ratio of the left and right areas of the current face is out of a preset interval according to the preset interval of the ratio of the left and right areas of the face, and sending out an alarm command. The driving safety monitoring system has strong capacity of resisting disturbance and high accuracy.

The present invention is a method and system to provide a face-based automatic ethnicity recognition system that utilizes ethnicity-sensitive image features and probabilistic graphical models to represent ethnic classes. The ethnicity-sensitive image features are derived from groups of image features so that each grouping of the image features contributes to more accurate recognition of the ethnic class. The ethnicity-sensitive image features can be derived from image filters that are matched to different colors, sizes, and shapes of facial features—such as eyes, mouth, or complexion. The ethnicity-sensitive image features serve as observable quantities in the ethnic class-dependent probabilistic graphical models, where each probabilistic graphical model represents one ethnic class. A given input facial image is corrected for pose and lighting, and ethnicity-sensitive image features are extracted. The extracted image features are fed to the ethnicity-dependent probabilistic graphical models to determine the ethnic class of the input facial image.

The invention discloses a skin beautifying method based on face and skin color detection. The method includes the steps that S1, a user inputs an image with a face; S2, face information of the image is detected automatically, and the process is returned to the S1 if the face is not detected; S3, detection is carried out on a skin area when the face information is detected, and namely, skin color model detection is carried out according to characteristics extracted from the face area; S4, intelligent beautifying is carried out according to the detected skin area. Therefore, treatment loss in skin beautifying is reduced, and the phenomenon of effect distortion is avoided.

The invention provides a chemical product containing petal components, which at least contains natural petals and a plant extractive, wherein the plant extractive comprises plant extract and seed plant mixed extract, and the plant extract is selected from one or a plurality of chamomile extract, green cucumber extract, marigold extract, aloe extract, seaweed extract, lotus extract and jasmine extract. The fresh petals and the plant extractive are mixed with other additives to make pure natural plant essence in the petals gradually permeate into the chemical product. Through deep level effective nursing of the natural components of the plant for face, the chemical product has the advantages that the chemical product can keep moisture and bright in time, relieve sensitive skin, and revive appearance from tiredness; the natural petals contained in the chemical product can bring nutrient components into skin directly to make the skin bright and beautiful, and truly realizes purity and nature; and because the components are natural, the chemical product is quite environment-friendly, has no side effect, can make complexion moister and ruddy and make the skin full, and has remarkable beautifying effect. The invention also provides a manufacturing method thereof.

The present invention relates to test table for driving motor of hybrid electric vehicle to finish capability test of driving motor of hybrid electric vehicle and debugging function of control software. The table system has simple structure, convenient operation and maintains and high test precision. When the grades of motor and load voltage are identical, the system can work parallel with DC generatrix and feed back energy, the energy lose is less, the power supply need to provide system loss energy is about 10% to 20%, the cost is reduced greatly and the requirement of capacity of power supply is little. When the grades of motor and load voltage aren't identical, two complexions are happened, when motor is as driver, energy is applied to load resistance box by dynamometer system or power supply; when the motor is as generator, the energy is applied to load resistance box by power supply.

7-Oxo-DHEA derivatives, various of which are themselves novel compounds, are well suited for cosmetically/therapeutically treating adverse conditions/afflictions of a keratinous substrate/material, notably of human skin, hair, eyelashes and nails, to improve the appearance thereof, in particular to prevent or treat signs of aging of the skin and/or a dull complexion and/or skin or hair pigmentation disorders and/or dryness of the skin and/or hyperseborrhoea and/or hyperseborrhoea-related imperfections and/or sensitive skin and/or dandruff and/or natural hair loss and/or baldness.

The invention relates to a method for positioning finger tips of directed gestures. In the method, the positions of the finger tips of the directed gestures are automatically determined according to the characteristics of hands of the directed gestures in directed gesture actions. A background difference method is adopted to extract objects of the directed gestures, a complexion partition method is used to extract a zone of the hand of the directed gestures, and a finger tip point is automatically determined according to a position of the finger tip of the directed gestures which is positioned at the outline of the edge of the hand of the directed gestures and farthest from the zone of the finger tip of the directed gestures. Therefore, the invention fast and effectively positions the position of the finger tip point of the directed gestures, and meets the requirements for extracting features in human-computer interaction of the directed gestures.

The invention relates to a preparation method of high-strength ion-responsive lubricating hydrogel, belonging to the technical field of ion response. The preparation method combines a high-strength hydrogel material with a synergistic design system of ion-responsive supramolecular hydrogel, and realizes the regulation and control of the surface lubrication of the hydrogel material by regulating the bulk phase of the hydrogel material as well as surface ion species and charged state. On the one hand, the high-strength hydrogel can give good mechanical support to cartilage; on the other hand, the ion-responsive supramolecular hydrogel can undergo gel-sol conversion under the action of external ions, and the factors such as ion species and concentration of the environment in which the hydrogel is located can be further controlled according to complexion situations of different ions by an ion-responsive polymer, so that the purpose of reversible regulation of hydrogel surface lubrication is achieved, and the hydrogel is enabled to automatically adjust the strength and the surface lubrication performance. The high-strength ion-responsive lubricating hydrogel greatly enhances the stability and environmental adaptability of bionic cartilage, thus having a very good medical prospect.

The present application relates to the use of fibers in a skincare composition or a make-up composition for the skin, to make the complexion matte, smooth and/or uniform, and/or to fade out skin relief defects. The fibers are in particular polyamide fibers having a length of from 1 mum to 10 mm and a shape factor of from 5 to 150. The composition used gives the skin a covering index of greater than 0.1 and preferably greater than 0.13. The invention also relates to a cosmetic treatment process for fading the complexion matte, smooth and/or uniform, and/or for fading out microreliefs, wrinkles, fine lines and pores in the skin, comprising the application to the skin of fibers in a cosmetic composition.

The invention discloses an iris splitting method suitable for low-quality iris images. The prior art can not carry out robust splitting to the low-quality iris image with mass interference and noise. The invention uses a human eye detection algorithm to preliminarily determine a subimage of the human eye and is applied to image splitting based on interdependent histogram and cluster and ellipse Hough conversion to accurately determine the subimage of the human eye; improved Hough conversion is adopted to position the outer contour of the iris and output the integrodifferential operator value CID of a detection result; if the outer contour of the iris is not accurately positioned, parabola approximation is carried out on the image to judge whether the image is an eye-closed image; for the non eye-closed image, complexion information is utilized to re-determine the outer contour of the iris; the palpebra superior is detected by one-dimensional signal detection and parabola integrodifferential operator; the palpebra inferior is detected by one-dimensional signal detection and an RANSAC algorithm; the histogram in the iris is calculated; and a threshold value is found to remove a highly bright spot. The invention is used for iris splitting of low-quality iris image in a complex application context.

Methods of improving the appearance of keratinous substances using at least one DHEA derivative such as the skin, hair, eyelashes and/or nails, in particular for preventing or treating cutaneous signs of ageing and/or a faded complexion and/or disorders of pigmentation of the skin or hair and/or drying of the skin and/or hyperseborrhoea and/or imperfections relating to hyperseborrhoea and/or sensitive skin and/or dandruff and/or hair loss and/or canities.

The invention discloses a method for tracking deformable hand gesture based on video streaming, comprising the steps of: obtaining a frame image, and extracting a sub-image containing a human hand from the obtained frame image; selecting feature tracking points from the sub-image containing the human hand, and initializing a continuously self-adaptive mean shift tracker by the sub-image containing the human hand; performing optical flow calculation on the selected feature tracking points to serve as a local tracking result, and synchronously overall tracking the human hand by the continuouslyself-adaptive mean shift tracker to obtain a global tracking result; updating the feature tracking points; and adopting the result of the optical flow tracking as the final output result of the deformable hand gesture. The method for tracking the deformable hand gesture based on video streaming can be used for tracking the human hand with randomly deformable hand gesture and enabling human-computer gesture interaction to operate in a more comfortable manner. According to the invention, the tracking can be performed aiming at the randomly deformable hand gesture, the interference from change of a background and a large area of complexion is eliminated, and the real-time robust hand gesture tracking is achieved.

A cosmetic composition is provided to achieve a soft focus effect. Imperfections in skin complexion can be hidden. The composition includes a water-insoluble partially hydrated granular starch having an average particle size ranging from about 500 to about 10,000 nm, a spherical alumina having a refractive index from 1.6 to 1.9 and average particle size from about 5 to about 300 nm, an inorganic material in flat, platy form having an average particle size ranging from about 0.1 to about 30 micron and a cosmetically acceptable carrier.

The subject invention relates to a skin cream that can be used to moisturize and rejuvenate skin that has been damaged by exposure to sunlight or which has simply been affected over the years by intrinsic aging. It can also be used to slow the rate of photo-induced aging to maintain beautiful skin tone and texture over the years. It inhibits the formation of wrinkles and in some cases reduces the depth of existing wrinkles or eliminates them entirely. In some cases, the skin cream of this invention also lightens age spots and other types of blemishes associated with aging. This invention is based upon the discovery that alkyl lactates, such as ethyl lactate, can be used to improve the penetration of active ingredients in skin care formulations deep into lower layers of the skin tissue. For instance, ethyl lactate can be included in aqueous based skin creams, such as oil in water emulsions, to deliver active ingredients deep into the skin structure. Ethyl lactate is particularly desirable for utilization in conjunction with ascorbic acid (Vitamin C) containing skin cream formulations. This is beneficial because the overall effectiveness of skin creams that utilize ascorbic acid as an active ingredient is contingent upon delivery of the ascorbic acid through the outer layers of the stratum corneum and viable epidermis and into the dermis layer of the skin structure. The present invention more specifically discloses a topical formulation comprising about 1 weight percent to about 20 weight percent ascorbic acid, about 1 weight percent to about 10 weight percent of an amino acid selected from the group consisting of phenylalanine and tyrosine, about 0.5 weight percent to about 5 weight percent of a non-toxic zinc salt, about 0.01 weight percent to about 20 weight percent of an alkyl lactate, wherein the alkyl group in the alkyl lactate contains from 2 to about 12 carbon atoms, and a pharmaceutically acceptable carrier.

The invention relates to a training optimization pornographic picture or video detection method based on a convolutional neural network. A final detection model is obtained through circuit training, classification detection accuracy can be improved to a largest extent, and deficiencies that a perfect complexion model and high detection accuracy are difficult to establish due to ambient light diversity and race diversity and the detection accuracy is always low due to external factors, such as human body gesture diversity, sheltering and the like can be overcome. When the method disclosed by the invention is used for picture data or video data to detect pictures or a video image sequence, only a classification result shows that the pictures or video image sequence is pornographic, a picture set or videos are defined as pornographic data, and a deficiency that a universal rule is difficult to establish for different pornographic videos is overcome.

The present invention discloses an image skin color beautifying method and system under any lighting conditions. An input image is obtained by a mobile client; the brightness transition of the input image is adjusted, and a transition image is obtained; the transition image is subjected to skin color detection, and a skin color probability map is obtained; the transition image is subjected to human face detection, and a detection image is obtained; according to the skin color probability map, the highest brightness value of the skin color part in the detection image is calculated; the transition image is subjected to exposure adjustment according to the highest brightness value, and an exposure image is obtained; the exposure image is used to carry out skin color cast correction of the transition image, and a correction image is obtained; the skin color probability map is used to carry out permeability adjustment of the correction image, and a permeability image is obtained; the permeability image is subjected to saturation and contrast adjustment, and a final image is obtained; and the final image is outputted to a client. According to the method and system, the portrait skin color under various light environments can be rapidly and automatically adjusted to be natural and permeable.

The invention relates to a method for automatically filtering a defective image based on multilayer feature. The preset filtering method has poor effect. The method comprises the following steps: inputting an image, preprocessing the input image and carrying out complexion detection on the preprocessed image to obtain a complexion mask image; extracting first-layer features of the images, classifying the images by adopting a first-layer binary system classification tree, carrying out trunk positioning on a suspected image and outputting a classification result; carrying out truck positioning on images which are successfully positioned by adopting a human face detection method; if the positioning is succeeded, extracting a third-layer feature and outputting an image by adopting a decision tree classifier; and positioning a truck of a human body by adopting an elliptical fitting method for the images which are not successfully positioned; after the feature is extracted, outputting classification results by adopting a binary system classification tree and finishing. According to the invention, internet industries carrying more multimedia information such as network video, social network sites, and the like can be healthily and sustainably developed.

The invention discloses a word vector model incremental study method. The super parameter used in the method comprises: a vector dimension, a number scope negative data, and a text window length; the word vector mode is updated dynamically to complete the vector model optimization and therefore complete the incremental study through initializing new words that appear in the additional text and sampling counterexample based on the historical glossary word-list; the technical scheme study can avoid to study repeatedly, historical data the calculating complexion degree is greatly reduced; the scheme can maintain the higher study efficiency so as to satisfy the efficiency requirement of the online system.

The invention discloses a multi-strategy fraud-preventing face recognition method which comprises the following steps of: 1, in a face detection process, detecting whether bright pupils generated by anear-infrared device exist at eye pupil positions and detecting whether the variance meets a threshold value in a face complexion grayscale section at a face region position, and determining whethera fraudulent behavior attack exists; 2, based on the dynamic property of the face recognition process, in the process of face recognition verification, detecting a micro-expression based on Candide-3model 3D face reconstruction, determining the similarity between the face features in three adjacent frames and the 3D model, and setting a reasonable threshold to avoid an excessively approximate face.

The invention relates to a method for picking up and identifying human ear characteristic by means of improved Hausdorff distance. The invention obtains standard human ear image through pretreatment of human ear image such as collection of human ear images, denoising of non-complexion noise, normalization of space dimension and illumination compensation; then, gray scale morphologic gradient and local threshold subdivision are adopted to pick up human ear edge feature so as to obtain standard human ear edge image. With the method and the Hausdorff distance improved through the length difference between standard variance and edge line segment, the influence of point set non-outline edge line segment point (outfield point) is reduced so as to obtain better anti-noise performance; moreover, the invention increases the accuracy of human ear edge image recognition by means of the characteristic value obtained on the basis of Hausdorff distance, thereby greatly increasing human ear recognition rate.

The invention provides a human hand detection method based on complexion. Acquired image to be detected is converted from an RGB color space to an HSV color space to acquire an HSV image. The image to be detected is converted from the RGB color space to an r-g color space to acquire an r-g image. The HSV image is converted into a first binary image. The r-g image is converted into a second binary image. Step-by-step operation is carried out on first and second binary images to acquire a comprehensive binary image. The comprehensive binary image is filtered to acquire an optimized binary image. The largest communication region in the optimized binary image is analyzed and is used as a skin region. A pre-trained K neighbor classifier is used to determine whether the largest communication region is hand-shaped to realize human hand recognition. The detection speed is fast. Human hand erroneous detection in gesture recognition is effectively solved.

The embodiment of the invention discloses a face detection method and device. The method comprises the following steps: carrying out edge detection processing on a preprocessed image obtained by preprocessing; obtaining an edge detection area and the length value, the width value and the length-width ratio of the edge detection area; according to the length value, the width value and the length-width ratio, obtaining a round area to be detected; carrying out expanded processing on the complexion area to the preprocessed image within the coverage range of the round area to be detected, and obtaining a first face contour; carrying out light compensation processing and complexion detection on the first light compensation image within the coverage range of the round area to be detected to obtain a second face contour; and combining a first face contour with a second face contour to obtain the face image. The device comprises a contour detection module, a complexion area expansion module, a light compensation and complexion detection module and a combination module. The embodiment of the invention avoids the phenomenon that face data is lost because of shadow caused by shading in the complexion detection process, and the accuracy rate and the detection speed of face detection can be improved.