698 results about "Eyebrow" patented technology

A method and system for use in detecting a face of a person includes providing image data representative of reflected light of a scene in at least one bandwidth within a reflected infrared radiation range. Regions of the scene in the image data which may correspond to one or both eyebrows of a person and which may correspond to one or both eyes of the person are extracted from the data. The extracted regions which may correspond to one or both eyebrows of the person are combined with the extracted regions that may correspond to one or both eyes of the person resulting in a composite feature image. The composite feature image is searched based on model data representative of an eye region to detect one or both eyes of the person.

A batch processing method for enhancing an appearance of a face located in a digital image, where the image is one of a large number of images that are being processed through a batch process, comprises the steps of: (a) providing a script file that identifies one or more original digital images that have been selected for enhancement, wherein the script file includes an instruction for the location of each original digital image; (b) using the instructions in the script file, acquiring an original digital image containing one or more faces; (c) detecting a location of facial feature points in the one or more faces, said facial feature points including points identifying salient features including one or more of skin, eyes, eyebrows, nose, mouth, and hair; (d) using the location of the facial feature points to segment the face into different regions, said different regions including one or more of skin, eyes, eyebrows, nose, mouth, neck and hair regions; (e) determining one or more facially relevant characteristics of the different regions; (f) based on the facially relevant characteristics of the different regions, selecting one or more enhancement filters each customized especially for a particular region and selecting the default parameters for the enhancement filters; (g) executing the enhancement filters on the particular regions, thereby producing an enhanced digital image from the original digital image; (h) storing the enhanced digital image; and (i) generating an output script file having instructions that indicate one or more operations in one or more of the steps (c)–(f) that have been performed on the enhanced digital image.

Methods and systems for automatically generating a mask delineating a region of interest (ROI) within an image containing skin are disclosed. The image may be of an anatomical area containing skin, such as the face, neck, chest, shoulders, arms or hands, among others, or may be of portions of such areas, such as the cheek, forehead, or nose, among others. The mask that is generated is based on the locations of anatomical features or landmarks in the image, such as the eyes, nose, eyebrows and lips, which can vary from subject to subject and image to image. As such, masks can be adapted to individual subjects and to different images of the same subjects, while delineating anatomically standardized ROIs, thereby facilitating standardized, reproducible skin analysis over multiple subjects and/or over multiple images of each subject. Moreover, the masks can be limited to skin regions that include uniformly illuminated portions of skin while excluding skin regions in shadow or hot-spot areas that would otherwise provide erroneous feature analysis results. Methods and systems are also disclosed for automatically registering a skin mask delineating a skin ROI in a first image captured in one imaging modality (e.g., standard white light, UV light, polarized light, multi-spectral absorption or fluorescence imaging, etc.) onto a second image of the ROI captured in the same or another imaging modality. Such registration can be done using linear as well as non-linear spatial transformation techniques.

A method for tracking the motion of a person's face for the purpose of animating a 3-D face model of the same or another person is disclosed. The 3-D face model carries both the geometry (shape) and the texture (color) characteristics of the person's face. The shape of the face model is represented via a 3-D triangular mesh (geometry mesh), while the texture of the face model is represented via a 2-D composite image (texture image). Both the global motion and the local motion of the person's face are tracked. Global motion of the face involves the rotation and the translation of the face in 3-D. Local motion of the face involves the 3-D motion of the lips, eyebrows, etc., caused by speech and facial expressions. The 2-D positions of salient features of the person's face and/or markers placed on the person's face are automatically tracked in a time-sequence of 2-D images of the face. Global and local motion of the face are separately calculated using the tracked 2-D positions of the salient features or markers. Global motion is represented in a 2-D image by rotation and position vectors while local motion is represented by an action vector that specifies the amount of facial actions such as smiling-mouth, raised-eyebrows, etc.

A system and method are capable of performing make-up virtual images obtained with portable devices with a digital camera. The method automatically detects points of interest (eyes, mouth, eyebrow, face contour) of the user's face image allowing the user to virtually apply make-up using fingers on a touch screen. Another algorithm was created to avoid “blurring” of make-up in the application from the user's fingers. The system allows the creation of virtual make-up faces with high accuracy. To carry out the virtual make-up, methods were created for automatically detecting points of interest in the facial image and enforcing transparency in the image to simulate the make-up and restrict the make-up application area within the region where the points of interest are found. The system allows testing cosmetics application in facial images to aid choosing colors of cosmetics before actually applying them.

A method concerning measurements by using an electrode array comprising three electrodes for central nervous system (CNS) monitoring from the forehead of a patient's head. A first electrode of said three electrodes is positioned between the eyebrows or immediately above the eyebrows of the patient. A third electrode of said three electrodes is positioned apart from the first electrode on the hairless fronto-lateral area of the forehead the patient. A second electrode is positioned between the first and the third electrodes on the forehead of the patient.

A method for classifying a face in which facial features are analyzed so that the face is appropriately classified or recognized in order to facilitate an exact and easy creation of an image produced by applying makeup. A first index represents one of a length of the face and a configuration of formational elements of the face, the formational elements including an eye, an eyebrow, a mouth and a nose. A second index represents one of a contour of the face and a contour of each of the formational elements of the face. A face is classified into one of groups of features each of which provides similar impressions by using the first index and the second index.

An instrument for applying a liquid or semi-liquid composition on the eyelashes or the eyebrows, comprising a core extending in an axial direction, and at least first, second, third, and fourth projections projecting from the core, wherein the first and second projections that form a first group of projections are mutually spaced apart by a first spacing to define a first interstitial gap in the form of a sheet extending at least locally in a plane that is substantially perpendicular to the axial direction, the first interstitial gap being shaped and dimensioned to retain the composition therein for the purpose of being applied to the eyelashes or the eyebrows, the third and fourth projections that form a second group of projections, being mutually spaced apart by a second spacing to define a second interstitial gap in the form of a sheet that extends at least locally in a plane that is substantially perpendicular to the axial direction, the interstitial gap being shaped and dimensioned to retain the composition therein for application on the eyelashes or eyebrows, the first and second groups being mutually spaced apart by a third spacing substantially greater than both the first and the second spacings.

The invention discloses a human face emotion recognition method in a mobile embedded complex environment. In the method, a human face is divided into main areas of a forehead, eyebrows and eyes, cheeks, a noise, a month and a chain, and 68 feature points are further divided. In view of the above feature points, in order to realize the human face emotion recognition rate, the accuracy and the reliability in various environments, a human face and expression feature classification method is used in a normal condition, a Faster R-CNN face area convolution neural network-based method is used in conditions of light, reflection and shadow, a method of combining a Bayes Network, a Markoff chain and variational reasoning is used in complex conditions of motion, jitter, shaking, and movement, and a method of combining a deep convolution neural network, a super-resolution generative adversarial network (SRGANs), reinforcement learning, a backpropagation algorithm and a dropout algorithm is used in conditions of incomplete human face display, a multi-human face environment and noisy background. Thus, the human face expression recognition effects, the accuracy and the reliability can be promoted effectively.

This invention relates to compositions and processes for stimulating the growth of mammalian hair comprising the topical application of compositions comprising a hair growth stimulating and/or hair loss prevention agent, and a hair and/or skin lightening and/or neutralization agent, in association with a topical pharmaceutical carrier. Unlike other products, the composition of the invention can be used with dyed/treated hair so as to not affect the color of the hair.

The invention discloses a video-based 3D human face expression cartoon driving method, which comprises the following steps: (1) image preprocessing, namely improving the image quality through light compensation, Gaussian smoothing and morphology operation of a gray level image; (2) BP human face detection, namely detecting a human face in a video through a BP neural network algorithm, and returning the size of the position of the human face for providing a smaller search range for human face characteristic point positioning of the next step to ensure instantaneity; (3) ASM human face characteristic point positioning and tracking, namely precisely extracting characteristic point information of human face shape, eyes, eyebrows, mouth and nose through an enhanced active shape model algorithm and a predicted meanshift algorithm, and returning the definite position; and (4) data information conversion, namely converting the data information acquired in the human face characteristic point positioning and tracking step to acquire the motion information of the human face. The method can overcome the defects in the prior art, and can achieve live human face cartoon driving effect.

The present invention discloses a video face cartoon animation generation method belonging to the image processing technology field. The video face cartoon animation generation method of the present invention comprises the following steps of firstly intercepting a frame of positive and neutral expression image from an input video, carrying out the cartoonlization processing on the neutral expression image, recording the eyebrow contour points, the eye contour points, and the maximum height difference h of the upper and lower eyelids when the eyes open; searching a frame similar with the neutral expression image as an initial conversion frame, based on the characteristic points of the last frame, determining the characteristic point processing of the next frame containing the corresponding conversion processing of the eyebrows, the eyes and the mouth, and synthesizing the converted cartoon images, obtaining the next frame image of the image frame corresponding to the synthesized cartoon images, repeating the above steps, and outputting the multiple frames of continuous cartoon images to generate the cartoon animation. The video face cartoon animation generation method of the present invention is used for the generation of the cartoon animation, is faster in generation speed and better in generation effect.

An applicator capable of applying a substance, in particular a cosmetic or care product, on the eyelashes or eyebrows, the applicator comprising an open support defining at least one opening situated between two opposite regions of the support, with protruding elements connected to at least one of said regions and extending towards the other region.

An eyebrow grooming tool that includes a molded plastic handle and a razor blade cartridge holding assembly in connection with the plastic handle. The razor blade cartridge holding assembly is provided with a light source shining through two elongated transparent windows positioned on either side of the razor blade cartridge for illuminating the eyebrow to be trimmed. A brush for grooming the eyebrow before and after trimming by the razor assembly is provided at the back end of the handle.

The embodiment of the invention provides an image processing method and an image processing device. The method comprises the following steps: face parts of a source image and a target image are acquired; a comparative analysis is made on the face parts of the source image and the target image to obtain a fusion line between the face parts of the source image and the target image, wherein the fusion line is a pixel line with the minimum image difference in areas above the eyebrows of the face parts of the source image and the target image and is located in the areas above the eyebrows of the face parts; and the face parts of the source image and the target image are respectively segmented by taking the fusion line as a dividing line to correspondingly obtain a first part and a second part, and in the target image, the first part of the face part of the target image is replaced with the first part of the face part of the source image to obtain a processed image, wherein the first parts are parts including the noses in the face parts. The image processing method and the image processing device provided by the embodiment of the invention can be applied to image processing in which the face of a target image is replaced with the face of a source image, and the image processing effect after replacement can be improved.

A system and method for effectively extracting facial feature information from image data may include a facial feature detector configured to generate facial feature information. The facial feature detector may perform an eye-area vertical projection procedure for generating eye information and eyebrow information. The facial feature detector may utilize an eyebrow filter to detect eyebrow location coordinates and eyebrow slope characteristics. Similarly, the facial feature detector may utilize an iris filter to detect iris location coordinates. The facial feature detector may also perform a mouth-area vertical projection procedure for generating corresponding nose/nostril location information and mouth/lip location information.

An eyebrow template can be used to apply makeup to a person's eyebrows. The template has a saddle that is shaped to be placed against the bridge of the person's nose. The template also has a pair of guides each attached to the saddle and each having a guide opening for guiding the application of makeup to the person's eyebrows. After placing the saddle against the bridge of the person's nose the templates are adjusted to outline the person's eyebrows. Then makeup is applied to the person's eyebrows using the templates to guide the makeup application.

An image capturing section captures a face of an observed person. A position detecting section detects, from a face image expressing the face captured by the image capturing section, one of a position expressing a characteristic of a nose and a position expressing a characteristic of a region between eyebrows. A computing section computes a past relative position of a predetermined region of the face that is based on the position detected in the past by the position detecting section. A region position detecting section detects a position of the predetermined region on the basis of the past relative position computed by the computing section and the current position detected by the position detecting section.

A device for promoting eyebrow hair growth includes an array of light generating sources, such as LEDs, laser diodes and IPLs, which are housed within a brow plate, for providing evenly distributed light to a user's eyebrows at a low level output wavelength suitable for stimulating hair growth. This photo-biostimulation process promotes hair growth in the directed region by producing an increase in ATP and keratin production, enhancement in blood flow and circulation, as well as an increase in collagen production. Temple arm members with corresponding ear pieces or a headband are used to support the device on a user's head. The light generating sources may be powered by an internal power source, such as a rechargeable battery or disposable batteries, located within the headband or temple arm members, or by an external power source, such as a plug used in connection with an AC outlet.

A retouching method for enhancing an appearance of a face located in a digital image involves acquiring a digital image containing one or more faces and detecting a location of facial feature points in the faces, where the facial feature points include points identifying salient features such as skin, eyes, eyebrows, nose, mouth, and hair. The location of the facial feature points are used to segment the face into different regions such as skin, eyes, eyebrows, nose, mouth, neck and hair regions. Facially relevant characteristics of the different regions are determined and, based on these facially relevant characteristics, an ensemble of enhancement filters are selected, each customized especially for a particular region, and the default parameters for the enhancement filters are selected. The enhancement filters are then executed on the particular regions, thereby producing an enhanced digital image from the digital image.

The invention discloses a method for positioning and tracking outer contour feature points of key face organs and a device thereof, comprising the following steps: first, the positions of canthi points and angulus oris points on the face are obtained; the medial axis of the eyes and the mouth is identified based on the positions; the outer contour feature points of the eyes and eyebrows are identified on the medial axis of the eyes, and the outer contour feature points of the mouth are identified on the medial axis of the mouth. Consistent positioning and tracking of outer contour feature points of key face organs are conducted on such a basis. The technical proposal provided by the embodiment of the invention solves the problem of inaccurate positioning of outer contour feature points of eyes, mouth and eyebrows when people makes various faces; based on the positioning of the feature points, the existing two-dimensional and three-dimensional face models can be real-time driven, and face expressions and motions such as frowning, blinking and mouth opening of people before a camera can be real-time simulated, thus creating various real and vivid face animations.