530 results about "Skin colour" patented technology

The present invention is a method and system for selectively executing content on a display based on the automatic recognition of predefined characteristics, including visually perceptible attributes, such as the demographic profile of people identified automatically using a sequence of image frames from a video stream. The present invention detects the images of the individual or the people from captured images. The present invention automatically extracts visually perceptible attributes, including demographic information, local behavior analysis, and emotional status, of the individual or the people from the images in real time. The visually perceptible attributes further comprise height, skin color, hair color, the number of people in the scene, time spent by the people, and whether a person looked at the display. A targeted media is selected from a set of media pools, according to the automatically-extracted, visually perceptible attributes and the feedback from the people.

A system and a method for rapidly tracking multiple faces uses a face-like region generator to find a face-like region by skin color, motion, and silhouette information. A face tracking engine tracks faces based on new and old faces, and skin colors provided by the face-like regions. The tracked face is fed into a face status checker for determining whether the face-like regions are old faces tracked in a previous frame or are possible new faces. If the face-like regions are old faces, a face verification engine checks whether there exists a predefined percentage of overlapping area between an old face and a skin region. If yes, the old face is still in the current frame and its position is in the center of the skin region, otherwise, the position of the old face is found by a correlation operation.

A method and apparatus for the detection of faces in a digital image captured under a variety of lighting conditions are provided. Rather than subjecting an entire image to computationally intensive face detection analysis, the image is subjected to computationally simply analysis to identify candidate pixels likely to be of skin colour. Only those pixels having such color are subject to computationally intensive face detection analysis. The pixels are selected by first selecting a color distribution model based on an image capture condition provided with the color digial image. Then, the color of the pixels is tested using the distribution model to determine those pixels having predominantly skin color. Preferably, the distribution model is selected from among a number of different distribution models with each of the distribution models associated with a different set of lighting conditions. In this way, a face detection process may accommodate a variety of lighting conditions associated with the capture of an image using a computationally simple analysis.

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.

A cosmetic color apparatus includes a color measurement device for measuring a skin color of an individual. A computer processing device is provided in communication the color measurement device for performing a comparison of the measured skin color with a desired color so as to provide color information. A color mixing device is provided in communication with the computer processing device for mixing a plurality of pigments based on the color information so as to provide a cosmetic color mixture.

The invention relates to a method for performing self-shot soft light compensation on basis of screen luminance. After a shutter is pressed, the screen luminance is adjusted, light compensation is performed on a human face, then a camera hardware is driven for taking a picture, time of the uniform speed adjustment of the screen luminance from minimum luminance to maximum luminance is no less than preset adjustment time, the screen luminance is adjusted to simultaneously display one of patterns with various non-pure colors, and a soft light lamp with different effects is formed according to pattern selecting set so that soft light compensation is performed on the human face. By means of the method for performing self-shot soft light compensation on basis of screen luminance, own screen luminance of a mobile device is improved, colors and patterns with various soft lights can be set on a screen, thereby, self-shot pictures that are photographed are good in colors and excellent in human skin color, multiple matching modes are provided, and a user can solve problems caused by environmental lights through selection.

The invention provides a composition. The composition is prepared from the following components in parts by weight: 20 to 80 parts of collagen peptide, 2 to 40 parts of acerola cherry powder, and 0.1to 20 parts of lacid bacteria compound powder. The composition has the advantages that by comprising the collagen peptide, the acerola cherry powder and prebiotics according to a special ratio, the components can reach the synergistic function, the skin condition is fundamentally improved, and the beautiful face is restored; the regeneration of skin cells is accelerated, the water and oil balanceof the skin is regulated, and the problems of skin pigmentation, coarse pores, fine lines, red blood silk, facial infection, and uneven skin color are relieved; the face-beautifying and oxidizing-resistant characteristics of the collagen peptide and acerola cherry powder are fully realized, the collagen peptide and acerola cherry powder are cooperated with the prebiotics strain beneficial for theprivate part health of special women to reach the effect of regulating micro-ecological balance and hormone balance of women, and the private part health is improved.

This invention relates to a method and a system for monitoring skin color of a user. The system comprises a capturing unit, an obtaining unit, a deriving unit and a determining unit. The capturing unit captures at least one image of the user over a predetermined time period, and the obtaining unit obtains motion-related information of the user over the predetermined time period. The deriving unit derives visual information from the at least one image on the basis of the motion-related information, and the determining unit determines the skin color on the basis of the derived visual information. In this way, the skin color of the user can be effectively monitored without exposing the user to strong environmental light.

The invention discloses an optical flow-based gesture motion direction recognition method. The method comprises the following steps of acquiring an image sequence on the front of a computer by using a common camera with video graphics array resolution, and preprocessing the image sequence; distributing skin samples in an approximately elliptical area in a CbCr plane in a concentrated way, and determining whether to accord with skin colors according to a fact whether a pixel point falls in the elliptical area in the CbCr plane; performing morphological reconstruction on binary images subjected to skin color detection, and adopting closed operation in morphology; marking each white connected region, calculating an area of each white connected region, arraying white connected regions from large to small, and reserving three largest connected regions; reducing the resolution of the images, and acquiring an optical flow motion vector in a skin color area by using a pyramid LK optical flow method; judging the direction of the optical flow motion vector; judging the direction once every other two frames, and giving a result if directions are consistent twice; after a user is familiar with and masters the gesture motion operation rule, moving the gesture in the upper, lower, left and right directions before the camera. According to the method, real-time interaction can be completed, and the gesture motion direction recognition accuracy can be higher than 95 percent.

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.

Composition containing at least one encapsulated pigment and at least one skin colouring agent chosen from self-tanning agents, melanogenesis activators and their mixtures. The composition of the invention constitutes in particular a cosmetic composition which gives an immediate healthy appearance effect which lasts over time.

An apparatus and a method for adjusting a white balance, and more particularly, an apparatus and a method for adjusting a white balance of an image captured with a complex light source are provided. The apparatus includes a camera unit, and a controller for controlling recognition of a facial image from an image captured by the camera unit and, if it is determined that the image has been captured with a complex light source based on a comparison between a white balance gain calculated based on a facial skin color of the recognized facial image and a white balance gain calculated based on a white balance scheme, for adjusting a white balance of the captured image based on a final white balance gain extracted by interpolating the two white balance gains.

The invention provides a skin color adjusting method and device. The skin color comprises the following steps: recognizing a skin color region of an image; counting original color data of pixel points in the skin color region to obtain an original mean value and an original standard deviation of the pixel points in the skin color region; selecting an appointed skin color model which is the most similar to the skin color region from at least one preset skin color model according to the original mean value and a preset mean value of the at least one preset skin color model, wherein the skin color model is used for presenting types of skin color; determining data of target color according to the original color data, the original mean value, the original standard deviation, as well as a preset mean value and a preset standard deviation of the appointed skin color model; adjusting the skin color region according to the data of the target color. According to the skin color adjusting method and device, the difference between the adjusted skin color and actual skin color is reduced, the distortion of the image is avoided, the beautifying effect is improved, a user does not need to select the target color, the operation is simple and convenient, the algorithm is simple, and the implementation is facilitated.

The invention relates to an objectionable image distinguishing method integrating skin color, face and sensitive position detection. The method comprises the following steps that a skin color model is firstly built, the face detection is carried out, the constituted feature vector of skin color and face features is extracted, a SVM (support vector machine) algorithm is utilized for training, and a SVM classifier is obtained; then, by aiming at the female breast in the local key position of the human body, SIFT (scale-invariant feature transform) features are extracted, an Adaboost algorithm is utilized for training, and an Adaboost classifier is obtained; next, by aiming at the female private parts in the local key position of the human body, the trunk region of the human body is determined, haar-like features are utilized as a template for carrying out searching and matching in the trunk region of the human body; and finally, the SVM classifier, the Adaboost classifier and the template matching method are adopted for carrying out image detection, a C4.5 decision-making tree method is utilized for integrating detection results, a decision-making tree model is built, the decision-making tree model is adopted for recognizing objectionable images, and the final distinguishing results are given. The objectionable image distinguishing method has the advantages that the detection accuracy is improved, and meanwhile, the execution speed is ensured.

A diagnostic article and method is disclosed wherein the article includes a mirror, a plurality of attribute selection sites arranged along or associated with the mirror with each of the sites having a plurality of choice selectors, and an output for recommending at least one personal care product based upon input from the choice selectors. A diagnostic for skin includes attribute selection sites hosting questions related to a customer's age, skin coloration, dryness, sunburn susceptibility, pimple breakout affinity, wrinkle formation and pore size. Hair, dental and underarm products may also be personalized by the diagnostic system. The mirror allows a customer in-store to more accurately answer attribute questions through reference to the customer's mirror reflection.

The invention discloses a field depth-based portrait colour processing method. The field depth-based portrait colour processing method is used for processing scene data acquired by an imaging device; and the scene data includes a main image of a scene. The processing method comprises the following steps of: identifying a portrait area in the main image of the scene according to depth information of the scene data; obtaining dress colour parameters in the portrait area according to the portrait area; and, processing colour parameters of a face area in the portrait area according to the dress colour parameters and a pre-set processing manner, so that an optimized image is obtained. The invention further discloses a processing device and an electronic device. By means of the image saturation processing method, the processing device and the electronic device disclosed by the invention, corresponding colour parameters are made for the face area in the image including the portrait based on the dress colour information and the corresponding pre-processing manner; therefore, colour parameter processing of the face area is more matched with a shot scene and the like; furthermore, colour adjustment can be carried out without according to skin colour features; the effect is better; and the user experience is better.

The invention relates to a skin identification method based on a skin color model. The skin identification method comprises the steps of (1) carrying out face identification on an image, and obtaining a face area, (2) carrying out mean value computing on the obtained face area obtained in the step (1), and obtaining a mean skin color, (3) computing a skin color probability mapping table of the current image according to the mean skin color obtained in the step (2), and (4) carrying out skin color identification on the current image according to the skin color probability mapping table obtained in the step (3), and obtaining a result graph of the skin color probability of the current image. According to the skin identification method, the skin color mean value after face detection is used for building the skin color model, the skin identification method can adapt to images shot under various conditions, and wide covering of the application range is achieved. In addition, according to the skin identification method, training data are not required to be accumulated, implementation can be easily achieved, comparison with huge training data is not required, and the operation efficiency is improved. Identification is carried out through the skin color model, the identification accuracy is high, and the defect that under excessively bright or excessively dark conditions, skin identification is not accurate is overcome.

The invention discloses an interactive projection method and system based on active vision. The method includes the steps that frames needing interaction are projected onto any plane by a projector, information of operation on the projected interaction frames carried out by a user is collected through a shooting device, the shot information is transmitted to a processing unit to be analyzed and processed, and thus corresponding operation of the user is acquired so as to achieve human-computer interaction. An offline training mode is adopted for the processing unit, and thus the detection efficiency is promoted. When data are trained, a new training mechanism is provided, and thus a large amount of manual operation is reduced. In the detection process, a model which is updated in real time is adopted, namely, a current skin color model is only relevant to the last several frames of skin colors, and thus influences of illumination on the skin colors can be effectively eliminated, the algorithm efficiency is effectively improved, and the real time requirement can be totally met.

The invention belongs to the field of cosmetics, and particularly relates to a composition containing bifida ferment lysate and a preparation method and application of the composition to the cosmetics. The composition includes a bifida ferment lysate composition, a peptide composition and a rice extract, and the composition is prepared from the following components in parts by mass: 1-40 parts ofthe bifida ferment lysate, 1-20 parts of the peptide composition, and 1-20 parts of the rice extract, and the composition further includes 1-20 parts of a moisturizing composition, and the bifida ferment lysate composition includes bifida freeze-dried powder, and a bifida freeze-dried powder lyase solution. The composition containing the bifida ferment lysate has the beneficial effects that a formula is reasonably set, functions are various, wrinkles can be significantly reduced, the pigment content is reduced, skin glossiness is increased, the skin color is brightened, skin elasticity is increased, the skin barrier is repaired, the water loss is reduced, the composition has no stimulation to the skin, and at the same time, the composition has the functions of preventing skin aging and keeping moisture for a long time, and makes the skin obtain a healthy and natural bright white state.

An equipment control apparatus readily made smaller in size and less likely to malfunction is configured as follows. The equipment control apparatus includes a video camera, a CPU, and a terminal. The video camera picks up an image. The CPU determines whether a color of a pixel forming the image picked up by the video camera represents a color of skin of a human body, counts the specific number indicating the number of pixels of which color represents the color of skin of the human body for an area representing at least a part of the image, and determines whether the specific number exceeds a threshold value. A memory stores the specific number in association with the area. The terminal outputs a control signal of a type corresponding to the area, if the specific number exceeds the threshold value.

The invention discloses whitening and skin care essence with synergistic whitening effects and a preparation method thereof. The whitening and skin care essence comprises niacinamide, a whitening complex 1, a whitening complex 2, citrus peel extract and arbutin. The whitening and skin care essence utilizes synergistic raw materials, can inhibit tyrosinase activity and melanin transfer, can brighten skin color, can cooperate in various nodes in the whitening path and can realize safe, effective and stable whitening effects.

The invention provides a skin color layering-based human face detection method. The method comprises the steps of firstly building a human face skin color model according to a human face candidate region; secondly performing skin color region segmentation by utilizing the human face skin color model, approximately describing a human face shape by using an ellipse, and processing an elliptic region not in the range as a non-human face region; thirdly further removing the non-human face region according to texture complexity; fourthly rotating the human face candidate region to perform directional normalization; and finally performing connected domain analysis by adopting a human face template. According to the method, an image is preprocessed by utilizing human face skin color characteristics, so that the human face search range is greatly reduced; in addition, the calculation complexity of the human face skin color characteristics is low, and the method is very robust for geometric changes such as human face rotation, zooming and the like, so that the human face detection using the human face skin color characteristics is very useful; and the method provided by the invention is quick, accurate, good in robustness and relatively wide in application range, and can be applied to the aspects of image identification, voice identification, data mining, machine vision and the like.

The invention provides a skin color optimization method and device for a color gamut transformation system. An RGB (Red Green Blue) to HSV (Hue, Saturation, Value) transformation unit receives a camera signal and transforms the camera signal from the RGB color gamut to the HSV color gamut so as to generate an HSV color gamut camera signal; a skin color optimization unit is connected with the RGB to HSV transformation unit and used for executing skin color optimization of the HSV color gamut camera signal so as to generate a hue / saturation gain; a color enhancement operation unit is connected with the skin color optimization unit and used for executing color enhancement operation of the HSV color gamut camera signal according to the hue / saturation gain and a hue displacement signal so as to generate a color enhancement camera signal; and an HSV to RGB transformation unit is used for transforming the color enhancement camera signal from the HSV color gamut to the RGB color gamut.

The invention discloses a target clothing image extraction method aiming at shopping image search. The target clothing image extraction method aiming at the shopping image search is used for extracting a main target clothing image in shopping images containing one single figure and a plurality of figures. According to the method, human-face positions of the figures are considered, skin colors and human-face detection are used as auxiliary information to help positioning clothing areas, a statistical probability model is used for analyzing clothing and image backgrounds, and simultaneously image spatial information is considered so as to enable the model to be accurate. The target clothing image extraction method is suitable for shopping images containing one single figure (model), is also suitable for shopping images containing a plurality of figures (models), and can extract clothing goods on the bodies of figures (models) accurately. The target clothing image extraction method aiming at the shopping image search is particularly applied to electronic commerce and on-line shopping websites, eliminates influences of complicated image backgrounds, identifies and analyzes main target images, and serves for shopping image search engines.

A human face detection device includes a photosensitive element, a human face detection unit, and a skin color threshold generation unit. The photosensitive element is used for capturing a first image containing a first human face block. The human face detection unit compares the first image with at least one human face feature, so as to detect the first human face block. The skin color threshold generation unit is used for updating a skin color threshold value according to the detected first human face block. The skin color threshold value is used for filtering the first image signal to obtain a candidate region, the human face detection unit compares the candidate region with the at least one human face feature to obtain the first human face block, and the skin color threshold value determines whether the first human face block detected by the human face detection unit is correct.

The invention discloses a human face-tracking preprocessing method and application. The method comprises a step (1) of recovering an image collected by a camera to a color below daily illumination color temperature (5500 k) through color balance processing; a step (2) of causing the whole color-balanced image to undergo noise filtering, and adopting median filtering processing for the noise filtering; a step (3) of utilizing skin color segmentation to cut out of background the part of the image belonging to the human skin color; a step (4) of further performing constraint handling, and only sending areas meeting the human face normal form proportion to human face detection in next step, or else filtering out the area; a step (5) of performing AdaBoost detection on each skin color area remaining after the operation through the step (4). Through the preprocessing method, the detection range of an AdaBoost algorithm can be effectively narrowed down, and the detection speed is improved.

An electro-optical system and method are provided for analyzing images of a scene to identify the presence of a target color, such as human skin tones. The system includes a thermal detector for obtaining a thermal image of the scene within a thermal waveband. The system also includes at least one additional detector for obtaining at least one additional image of the scene at an additional waveband different from the thermal waveband. The system also includes a controller. The controller is configured to: process the thermal image to identify portions of the scene having a temperature exceeding a threshold value; process the additional image to identify portions of the scene having a target color; and output a positive response if a same portion of the scene is identified in the thermal image and the additional image.

The invention provides a people stream counting system and a method thereof. The method comprises: firstly, recording the first face information at a first time point into a memory; then, identifying whether an image captured by a camera at the second time point is a complexion zone; if the complexion zone is real face, further judging that the face is frontal face or side face, and recording the judgement result into spurious face information; then, matching the similarity of the spurious face information and the first face information one by one; when the similarity matching reaches the set condition, taking the spurious face information as the first face information; when the similarity matching does not reach the set condition, recording the spurious face information as the second face information into the memory, and setting that the first face information is shaded; and finally, calculating the amount of people stream which passes through according to the face recorded by the memory.

The invention provides an application of a skin color-associated SNP marker in genotyping of black-bone chickens. The SNP marker is located at 2228 bp upstream of a transcription initiation site in apromoter region of a TYR gene, and a base with polymorphism is adenine A or thymine T. The SNP genotype detection primer has high specificity, single detection band and accurate typing results. In combination with a provided detection method, the whole operation process is simpler and more efficient, and the cost is lower. Rapid and accurate individual screening is achieved, and a basis for breeding development and protection of black-bone chicken varieties is provided.