60 results about "Facial analysis" patented technology

A processor-based system operating according to digitally-embedded programming instructions performs a method including identifying a group of pixels corresponding to a face region within digital image data acquired by an image acquisition device. A set of face analysis parameter values is extacted from said face region, including a faceprint associated with the face region. First and second reference faceprints are determined for a person using reference images captured respectively in predetermined face-portrait conditions and using ambient conditions. The faceprints are analyzed to determine a baseline faceprint and a range of variability from the baseline associated with the person. Results of the analyzing are stored and used in subsequent recognition of the person in a subsequent image acquired under ambient conditions.

A method for automatic, or semi-automatic, planning of dental treatment for a patient comprises: (a) obtaining data about an area which is to be treated and data about a face of a patient; (b) performing a computer-assisted analysis of the data to determine properties of at least the face of the patient; (c) creating a modified tooth set-up using a set of stored rules which make use of the determined facial properties. A three-dimensional representation simulates the appearance of the modified tooth set-up and the patient's face surrounding the treatment area. The method also determines properties of existing teeth and creates a modified tooth set-up which is also based on the existing teeth of the patient. The method can be implemented as software running on a workstation.

A mobile device user interface method activates a camera module to support a video chat function and acquires an image of a target object using the camera module. In response to detecting a face in the captured image, the facial image data is analyzed to identify an emotional characteristic of the face by identifying a facial feature and comparing the identified feature with a predetermined feature associated with an emotion. The identified emotional characteristic is compared with a corresponding emotional characteristic of previously acquired facial image data of the target object. In response to the comparison, an emotion indicative image is generated and the generated emotion indicative image is transmitted to a destination terminal used in the video chat.

An image acquisition device includes a flash and optical system for capturing digital images. A face tracker identifies face regions within a series of one or more relatively low resolution reference images, and predicts face regions within a main digital image. A face analyzer determines one or more partial face regions within the one or more face regions each including at least one eye. A red-eye filter modifies an area within the main digital image indicative of a red-eye phenomenon based on an analysis of one or more partial face regions within the one or more face regions identified and predicted by the face tracker.

An image processing system is disclosed that provides automatic face or skin blurring for images. All faces or skin can be blurred, or specific faces can be blurred. In one aspect of the invention, a particular face is blurred on an image or on a series of images in a video. Faces are determined in an image, and face matching is performed to match a particular face to faces in the image. If a match is found, the face or a portion of the face is blurred in the image. The blurring is performed on a portion of the image containing the particular face. Blurring may be performed through a variety of techniques. In another aspect of the invention, voice processing is used as an adjunct to or in place of face analysis to determine if a face in an image or series of images should be blurred. In another aspect of the invention, all faces or human skin in an image or series of images is blurred.

The present invention discloses an image recognition-based facial skin analysis system. The image recognition-based facial analysis system is capable of conducting a series of evaluation on the condition of the skin to obtain an overall evaluation. The system mainly comprises a face detection and segmentation module, a whitening degree detection module, a roughness detection module, a stain amount detection module and a comprehensive judgment module. Firstly, a detection image is input to be subjected to front face detection, area location and segmentation by a classifier. Secondly, the segmented image is subjected to skin color brightness and ruddy condition analysis, wherein the roughness of a feature index quantification detection area is obtained based on a gray level co-occurrence matrix. Thirdly, the stain amount is analyzed based on the similar watershed method through calculating the sum of sectional areas. Finally, the comprehensive judgment is conducted according to all detection results. Based on the technical means, the application effect of a product is quantified, so that the quality of the product is controlled. The system has great economic value for cosmetic manufacturers. Meanwhile, the system brings more economic benefits.

An apparatus and method for image-based three-dimensional hyperrealistic head modeling are provided. The method used to create a three-dimensional hyperrealistic head model includes: detecting frontal and side features in the input frontal and side images; generating a three-dimensional head model by fitting a three-dimensional universal model using the detected facial features; according to the input generating realistic textures from front and side images; and mapping said textures onto a 3D head model. In the described apparatus and method, data obtained using relatively inexpensive equipment such as digital cameras can be processed in an automated manner, and satisfactory results can be obtained even from imperfect input data. In other words, facial features can be extracted in an automated manner and using stable "human quality" facial analysis algorithms.

A method for automatic, or semi-automatic, planning of dental treatment for a patient comprises: (a) obtaining data about an area which is to be treated and data about a face of a patient; (b) performing a computer-assisted analysis of the data to determine properties of at least the face of the patient; (c) creating a modified tooth set-up using a set of stored rules which make use of the determined facial properties. A three-dimensional representation simulates the appearance of the modified tooth set-up and the patient's face surrounding the treatment area. The method also determines properties of existing teeth and creates a modified tooth set-up which is also based on the existing teeth of the patient. The method can be implemented as software running on a workstation.

A method is provided for simultaneously recognizing facial attributes and identity to organize photo and / or video albums, based on modifying an efficient convolutional neural network (CNN) which extracts facial representations suitable for face identification and attribute (age, gender, ethnicity, emotion, etc.) recognition tasks. The method enables to process all the tasks simultaneously, without a need for additional CNNs. As a result, a very fast facial analytic system is provided, and the system can be installed onto mobile devices.

A system and method for determining the correct natural head position location of reference planes, i.e., the coronal, transverse, and sagittal planes, relative to a three-dimensional computerized image of a patient's head. This method will allow medical practitioners to accurately measure various soft tissue features of the patient's face and underlying hard tissue structures, e.g., such as dentoskeletal structures, and combining such analysis with profile analysis and treatment planning for full 3D facial analysis.

A handheld facial analyzing device based on estimating the characteristics of human facial skin includes an image capturing unit, a memory unit, a display unit, a processing unit, and a user interface. The processing unit receives an instruction from the user interface corresponding to a position on the image data displayed by the display unit and generates a facial analysis result having information on skin roughness and wrinkles from the gray-scale image data corresponding to the image data in accordance to the position in the instruction.

The invention relates to a complex makeup migration method based on facial analysis and illumination migration. Facial analysis is combined with an illumination migration algorithm and a makeup migration algorithm. The method comprises the following steps: firstly, carrying out whitening and buffing preprocessing on an input face image by using a color balance and bilateral filtering algorithm; secondly, migrating makeup of the reference face image to the input face image by utilizing a face analysis and facial makeup migration algorithm, and finally migrating illumination of the reference face image to the input face image by utilizing an illumination migration algorithm to complete migration of complex facial makeup. The method is very easy to realize through software, and can be widelyapplied and popularized to computer vision, visual design, digital entertainment, film production and the like.

The invention discloses a method for measuring an interval of a continuous casting blank dendritic crystal with manganese steel and belongs to the technical field of metal material detection. According to the technical scheme, the method comprises the steps that firstly, sample grinding and polishing are conducted; secondly, facial analysis is conducted on manganese in a casting blank through an electronic probe; finally, the interval of the dendritic crystal is measured through a facial distribution map of the manganese. The method has the advantages that the interval between the primary dendritic crystal and the second primary dendritic crystal of the continuous casting blank can be accurately measured and the measuring method is simple and convenient.

The invention discloses a lipstick matching-color selection method. The method includes the following steps: a facial-analysis step, wherein image analysis is carried out on an acquired user photograph to obtain a user facial-region; a skin color extraction step, wherein skin color extraction is carried out on the user facial-region to obtain user skin color data; a face figure acquisition step, wherein facial image analysis is carried out on the user facial-region to obtain user face figure data; and a lipstick recommendation step, wherein matching with a recommendation model is carried out according to the user face figure data and the user skin color data to obtain a lipstick color recommendation scheme. The invention also provides electronic equipment and a computer-readable storage medium. According to the lipstick matching-color selection method of the invention, an acquired skin color and face figure of a user are compared with skin colors and face figures in the constructed recommendation model to obtain a lipstick color corresponding to the skin color and the face figure, and the lipstick color is recommended to the user.

A deep learning framework jointly optimizes the compactness and discriminative ability of face representations. The compact representation can be as compact as 32 bits and still produce highly discriminative performance. In another aspect, based on the extreme compactness, traditional face analysis tasks (e.g. gender analysis) can be effectively solved by a Look-Up-Table approach given a large-scale face data set.

One or more processors generate a set of facial appearance parameters that are derived from a first facial image. One or more processors generate a graphics control vector based, at least in part, on the set of facial appearance parameters. One or more processors render a second facial image based on the graphics control vector. One or more processors compare the second facial image to the first image. One or more processors generate an adjusted vector by adjusting one or more parameters of the graphics control vector such that a degree of similarity between the second facial image and the first facial image is increased. The adjusted vector includes a biometric portion. One or more processors generate a first face representation based, at least in part, on the biometric portion of the adjusted vector.

The invention discloses a device and an operation method for preventing fatigue driving, and relates to the technical field of fatigue driving detection. The device is characterized in that super-micro optical graphene light sensing element camera shooting is wirelessly connected with a vehicle-mounted camera, a vehicle velometer is wirelessly connected with a vehicle-mounted sensor, the vehicle-mounted sensor is connected with logic algorithm software, the vehicle-mounted camera is connected with a video driving mechanism, the video driving mechanism is connected with a video collecting mechanism, the video collecting mechanism is connected with the logic algorithm software, the logic algorithm software is connected with a mainboard, one side of the mainboard is provided with an antenna and a USB interface, and a control panel is connected with a PCB (printed circuit board). The device carries out non-contact facial analysis on a driver, extracts effective feature information, can reduce the occurrence rate of fatigue driving, and improves the traffic safety.

A method for the reconstruction of missing, broken and / or abraded teeth by means of face analysis. In order to determine the shapes and sizes of the teeth, the face of a patient, for whom the teeth are intended, is measured by means of one or more image-type pictures. The respective tooth size and tooth shape is determined proportionally from the obtained values.

The invention discloses a face recognition method based on a coffee machine and a coffee machine, the method involves controlling the camera to start working and taking photographs of his head for facial analysis and recognition when a customer's touch operation on the coffee machine 's operation interface; upon recognizing that the current face belongs to a new customer, the machine adds an entryfor the new customer in the database, and records the customer's transaction detail after the customer completes the transaction; when recognizing that the current face belongs to an old customer inthe database, the machine searches the customer data in the database to recommend the coffee type, and updates the customer profile real time information after the customer completes the transaction.The invention performs facial recognition on the customers operating the coffee machine, performs corresponding coffee recommendation according to whether he is a new customer or old, and at the sametime stores and updates customer information in real time, and further recommend a large volume transaction according to the customer information and preferences, or choose the coffee type that the customer has purchased before, thus saving transaction time.

A face recognition system, a method for establishing data of face recognition, and a face recognizing method thereof are disclosed. The face recognition system includes an image obtaining device, a facial analysis module, and a feature comparison module. The image obtaining device is used to obtain a registered facial image. The facial analysis module is used to analyze the registered facial image to obtain a registered facial feature, so as to determine a feature threshold of the registered facial feature. The feature comparison module is used to compare the registered facial feature with a facial feature of a plural facial images to register a facial feature of a similar facial image corresponding to more than a similarity threshold as a false-positive facial image feature. Such that the facial analysis module determines a false-positive threshold of the false-positive facial image feature.

A method for facial analytics includes capturing a series of images of individuals from a camera into a circular buffer and selecting a plurality of images from the buffer for analysis in response to a trigger event, wherein the plurality of images are chronologically proximate before and / or after the trigger event in time. The method includes analyzing the plurality of images to determine image quality and selecting one of the plurality of images based on image quality to form a cropped facial image most likely to result in positive facial recognition matching. Methods of signaling to control the pedestrian traffic flow can maximize the individuals' facial alignment to the capturing camera's field of view. Non-relevant facial images associated with individuals outside a given region of interest can be discarded. Facial recognition is run on the resultant cropped facial image. Output can be displayed with information from the facial recognition.

A method for facial analytics includes capturing a series of images of individuals from a camera into a circular buffer and selecting a plurality of images from the buffer for analysis in response to a trigger event, wherein the plurality of images are chronologically proximate before and / or after the trigger event in time. The method includes analyzing the plurality of images to determine image quality and selecting one of the plurality of images based on image quality to form a cropped facial image most likely to result in positive facial recognition matching. Methods of signaling to control the pedestrian traffic flow can maximize the individuals' facial alignment to the capturing camera's field of view. Non-relevant facial images associated with individuals outside a given region of interest can be discarded. Facial recognition is run on the resultant cropped facial image. Output can be displayed with information from the facial recognition.

The invention relates to the technical field of artificial intelligence, and provides a depression level test system. The system comprises a questionnaire data acquisition module, a video data processing module, a model analysis module and a model evaluation module. The questionnaire data acquisition module acquires answering questionnaire data and answering video data of a user to be evaluated; the video data processing module counts an answering score according to the answering questionnaire data and performs video frame extraction on the answering video data to obtain a video frame set corresponding to the answering video data; the model analysis module inputs each video frame in the video frame set into a trained facial analysis model to obtain an expression category and eyeball identification data of each video frame, and obtains a to-be-evaluated parameter of the to-be-evaluated user according to the answer score, the expression category and the eyeball identification data of each video frame; and the model evaluation module inputs the to-be-evaluated parameters into the trained depression level test model to obtain a depression level test result. By adopting the system, the depression degree can be monitored in real time.

A method for facial analytics includes capturing a series of images of individuals from a camera into a circular buffer and selecting a plurality of images from the buffer for analysis in response to a trigger event, wherein the plurality of images are chronologically proximate before and / or after the trigger event in time. The method includes analyzing the plurality of images to determine image quality and selecting one of the plurality of images based on image quality to form a cropped facial image most likely to result in positive facial recognition matching. Methods of signaling to control the pedestrian traffic flow can maximize the individuals' facial alignment to the capturing camera's field of view. Non-relevant facial images associated with individuals outside a given region of interest can be discarded. Facial recognition is run on the resultant cropped facial image. Output can be displayed with information from the facial recognition.

The invention relates to an information auditing method based on a real-time video, and the method comprises the following steps that: S1, an auditor initiates a video invitation to a to-be-audited user in a background system, and the to-be-audited user answers the video invitation at a terminal of an app; s2, the app collects a video of the user in real time and transmits the video to auditors, the app performs facial analysis on the user to be audited and transmits analysis data to a background system, and the background system processes and analyzes the analysis data and gives out a corresponding data result; s3, the auditor judges a final auditing result according to the communication with the user in the background system comprehensive analysis video and the data result displayed by the background system; and S4, the auditor feeds back an auditing result to the user through the background system, and stores the video in the auditing process into the server 2. According to the invention, the real-time video is introduced into an information auditing scene, and technologies such as facial analysis are combined, so that the information auditing efficiency and quality are improved.

A system and method to turn computer vision captured data of a subject into an optimized rearranged media content to a display device using historic or real-time data points captured by facial analytics software comprising a media compiler computer that receives a digital media segment and metadata describing the digital media segment, the metadata comprising, at least, a priority marker for each frame of a plurality of frames and one or more set durations and create a new digital media segment by rearranging at least a portion of the plurality of frames in combination with additional elements such as generated text, zooming in on focal items within the media and other techniques for highlighting key elements of the new digital media segment, the rearrangement based on priority markers associated to each frame and other pre-configurations.

A hyperspectral facial analysis system and method for personalized health scoring to assess the risk that a person has a disease. Embodiments capture images in multiple spectral bands, such as visible, infrared, and ultraviolet, and analyze these images to generate multiple health metrics, such as pallor, temperature, sweat, and chromophores. These metrics may be combined into an overall health score that may be used for screening. Image analysis may focus on the area under the eyes, where skin is thinnest. Images may be compared to a reference population to identify anomalous values, so that health scoring automatically adjusts for local conditions. Pallor may be calculated based on hue and saturation of visible light images. Temperature may be calculated based on infrared image intensity. Sweat may be calculated using cross-polarized images to identify specular highlights. Chromophores may be calculated by comparing frequency domain ultraviolet images to those of the reference population.