4181results about "Acquiring/recognising facial features" patented technology

A media capture device (MCD) that provides a multi-sensor, free flight camera platform with advanced learning technology to replicate the desires and skills of the purchaser/owner is provided. Advanced algorithms may uniquely enable many functions for autonomous and revolutionary photography. The device may learn about the user, the environment, and/or how to optimize a photographic experience so that compelling events may be captured and composed into efficient and emotional sharing. The device may capture better photos and videos as perceived by one's social circle of friends, and/or may greatly simplify the process of using a camera to the ultimate convenience of full autonomous operation.

Systems and methods for virtual world simulations of the real-world or emulate real-life or real-life activities in virtual world or real life simulator or generating a virtual world based on real environment: host, at a server, a virtual world geography or environment that correspondences the real world geography or environment as a result, as the user continuously moves about or navigates in a range of coordinates in the real world, the user also continuously moves about in a range of coordinates in the real world map or virtual world; generate and access, by the server, a first avatar or representation, that is associated with a first user or entity in the virtual world; monitor, track and store, by the server, plurality types of data associated with user's real life or real life activities, actions, transactions, participated or participating events, current or past locations, checked-in places, participations, expressions, reactions, relations, connections, status, behaviours, sharing, communications, collaborations, interactions with various types of entities in the real world; receive, by the server, first data associated with a mobile device of the first user related to the first activity from the first geo-location co-ordinates or place; determine, by the server, one or more real world activities of the first user based on the first data; generate, record, simulate and update, by the server, virtual world based on said stored data, wherein updating a first avatar, that is associated with the first user or entity, in the virtual world; causing, by the server, a first avatar associated with the first user or entity, to engage in one or more virtual activities in the virtual world, that are at least one of the same as or sufficiently similar to or substantially similar to the determined one or more real world activities, by generating, recording, simulating, updating and displaying, by a simulation engine, simulation or a graphic user interface that presents a user a simulation of said real-life activities; and display in the virtual world, by the server, said real world activity or interacted entity or location or place or GPS co-ordinates related or associated or one or more types of user generated or provided or shared or identified contextual one or more types of contents, media, data and metadata from one or more sources including server, providers, contacts of user and users of network and external sources, databases, servers, networks, devices, websites and applications, wherein virtual world geography correspondences the real world geography. In an embodiment receiving from a user, a privacy settings, instructing to limit viewing of or sharing of said generated simulation of user's real world life or user's real world life activities to selected one or more contacts, followers, all or one or more criteria or filters specific users of network or make it as private.

The present invention is a method and system for measuring human response to retail elements, based on the shopper's facial expressions and behaviors. From a facial image sequence, the facial geometry—facial pose and facial feature positions—is estimated to facilitate the recognition of facial expressions, gaze, and demographic categories. The recognized facial expression is translated into an affective state of the shopper and the gaze is translated into the target and the level of interest of the shopper. The body image sequence is processed to identify the shopper's interaction with a given retail element—such as a product, a brand, or a category. The dynamic changes of the affective state and the interest toward the retail element measured from facial image sequence is analyzed in the context of the recognized shopper's interaction with the retail element and the demographic categories, to estimate both the shopper's changes in attitude toward the retail element and the end response—such as a purchase decision or a product rating.

Features, including one or more acoustic features, visual features, linguistic features, and physical features may be extracted from signals obtained by one or more sensors with a processor. The acoustic, visual, linguistic, and physical features may be analyzed with one or more machine learning algorithms and an emotional state of a user may be extracted from analysis of the features. It is emphasized that this abstract is provided to comply with the rules requiring an abstract that will allow a searcher or other reader to quickly ascertain the subject matter of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.

An image including a face is input (S201), a plurality of local features are detected from the input image, a region of a face in the image is specified using the plurality of detected local features (S202), and an expression of the face is determined on the basis of differences between the detection results of the local features in the region of the face and detection results which are calculated in advance as references for respective local features in the region of the face (S204).

A system and method for automatic detecting neutral expressionless faces in digital images and video is described. First a face detector is used to detect the pose and position of a face and find the facial components. Second, the detected face is normalized to a standard size face. Then a set of geometrical facial features and three histograms in zones of mouth are extracted. Finally, by feeding these features to a classifier, the system detects if there is the neutral expressionless face or not.

A method and system for detecting facial expressions in digital images and applications therefore are disclosed. Analysis of a digital image determines whether or not a smile and/or blink is present on a person's face. Face recognition, and/or a pose or illumination condition determination, permits application of a specific, relatively small classifier cascade.

Methods and devices are provided for activation of a vehicle operational mode. The device includes one or more detectors and a controller. The one or more detectors visually monitor one or more predetermined spatial locations, each of the one or more detectors corresponding to one of the one or more predetermined spatial locations. The controller is coupled to the one or more detectors and activates a predetermined vehicle operational mode in response to a current vehicle operational mode and a predetermined gesture detected within one of the one or more predetermined spatial locations.

An unsatisfactory scene is disqualified as an image acquisition control for a camera. An image is acquired. One or more mouth regions are determined. The mouth regions are analyzed to determined whether they are frowning, and if so, then the scene is disqualified as a candidate for a processed, permanent image while the mouth is completing the frowning.

Behavioral and mental health therapy systems in accordance with several embodiments of the invention include a wearable camera and/or a variety of sensors (accelerometer, microphone, among various other) connected to a computing system including a display, audio output, holographic output, and/or vibrotactile output to automatically recognize social cues from images captured by at least one camera and provide this information to the wearer via one or more outputs such as (but not limited to) displaying an image, displaying a holographic overlay, generating an audible signal, and/or generating a vibration.

The invention discloses a picture generation method based on depth learning and a generative adversarial network. The method comprises steps that (1), a picture database is established, multiple real pictures are collected and are further classified and marked, and each picture has a unique class label k corresponding to the each picture; (2), the generation network G is constructed, a vector combined by a random noise signal z and the class label k is inputted to the generation network G, and generated data is taken as input of a discrimination network D; (3), the discrimination network D is constructed, and a loss function of the discrimination network D comprises a first loss function used for determining true and false pictures and a second loss function used for determining picture classes; (4), the generation network is trained; (5), needed pictures are generated, the random noise signal z and the class label k are inputted to the generation network G trained in the step (4) to acquire pictures in a designated class. The method is advantaged in that not only can the pictures can be generated, but also the designated generation picture classes can be further realized.

An image-capturing apparatus for capturing an image by using a solid-state image-capturing device may include a face detector configured to detect a face of a human being on the basis of an image signal in a period until an image signal obtained by image capturing is recorded on a recording medium; an expression evaluation section configured to evaluate the expression of the detected face and to compute an expression evaluation value indicating the degree to which the detected face is close to a specific expression in relation to expressions other than the specific expression; and a notification section configured to notify notification information corresponding to the computed expression evaluation value to an image-captured person.

A method comprising displaying, on a virtual projection, at least one image of at least one product available for purchase to attract customers, the virtual projection comprising one or more displays to display the at least one image of the at least one product. The method further includes initiating a shopping session with a customer on the virtual projection whereby the customer has access to one or more products related to the virtual projection. The shopping session transfers to and continues on a secondary device whereby the at least one image of the at least one product is accessed on the secondary device. The method further includes initiating a customization mode to allow a customer to customize properties of one or more of the images of products.

The invention discloses a classroom behavior monitoring system and method based on face and voice recognition. The method comprises the following steps: a camera acquires the video information of students and teachers in classrooms; voice recording equipment acquires the voice information of the students and teachers in the classrooms; a main control processor preprocesses the received video information of the students and teachers and extracts the facial expression features and behavior features of the students and teachers; the main control processor processes the received voice information of the students and extracts the voice features of the students; and the main control processor processes the received voice information of the teachers, extracts the voice features of the teachers, calculates the scores of the teaching effect of the teachers, evaluates the teaching effect of the teachers according to the scores, and provides guidance suggestions. According to the classroom behavior monitoring system and method disclosed by the invention, the classroom behaviors of the teachers and students in the classrooms are observed, and thus the accuracy and objectivity of the evaluation can be increased, the teaching methods can be improved, and the teaching quality can be increased.

The image pickup apparatus 100 comprises the image pickup unit 1 to pick up an image of the subject which a user desires, a detecting of the face image area which includes the face of the subject person in the picked-up image based on the image information of the picked-up image, a recognizing of the expression of the face in the detected face image area, a ranking of the face image areas in the order of good smile of the recognized expressions and a displaying of the face image areas F arranged in the order of ranking and the entire picked-up image G on the same screen.

The present disclosure generally relates to generating and modifying virtual avatars. An electronic device having a camera and a display apparatus displays a virtual avatar that changes appearance in response to changes in a face in a field of view of the camera. In response to detecting changes in one or more physical features of the face in the field of view of the camera, the electronic device modifies one or more features of the virtual avatar.

Provided is a smart home appliance. The smart home appliance includes: a voice input unit collecting a voice; a voice recognition unit recognizing a text corresponding to the voice collected through the voice input unit; a capturing unit collecting an image for detecting a user's visage or face; a memory unit mapping the text recognized by the voice recognition unit and a setting function and storing the mapped information; and a control unit determining whether to perform a voice recognition service on the basis of at least one information of image information collected by the capturing unit and voice information collected by the voice input unit.

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.

The invention discloses a real-time facial animation method based on a single video camera. The method includes the steps of using the single video camera, tracking three-dimensional positions of facial feature points in real time, parameterizing face posture and facial expression according to the three-dimensional positions, and finally mapping parameters on a substitute so as to drive facial animation of a cartoon character. A real-time speed can be reached only with an ordinary video camera of a user without need of an advanced acquisition device. The real-time facial animation method based on the single video camera can accurately process various wide-angle facial rotations, facial shifting and various exaggerated facial expressions and can further work in the environments with different illumination and background conditions, including indoor environment and sunny outdoor environment.

Systems, methods, and non-transitory computer readable analyzing facial expressions within an interactive online event to gauge participant level of attentiveness are provided. Facial expressions from a plurality of participants accessing an interactive online event may be analyzed to determine each participant's facial expression. The determined expressions may be analyzed to determine an overall level of attentiveness. The level of attentiveness be relayed to the host of the interactive online event to inform him or her how the participants are reacting to the interactive online event. If there are participants not paying attention or confused, the host may modify their presentation to increase the attentiveness of the students.

The present disclosure generally relates to generating and modifying virtual avatars. An electronic device having a camera and a display apparatus displays a virtual avatar that changes appearance in response to changes in a face in a field of view of the camera. In response to detecting changes in one or more physical features of the face in the field of view of the camera, the electronic device modifies one or more features of the virtual avatar.