A server includes processing circuitry configured to receive one or more images, the one or more images including one or more representations of people. Additionally, the processing circuitry is configured to apply a neural network to the one or more images, wherein the neural network classifies at least one aesthetic component of each image of the one or more images, an aesthetic component score being generated for each image in the one or more images. Further, the processing circuitry is configured to generate a user eyewear equipment profile for a user, the user being matched to a persona from a personae database, each persona in the personae database being linked to one or more persona eyewear equipment profiles, the one or more persona eyewear equipment profiles being based on the aesthetic component score, and select eyewear equipment for the user based on the generated user eyewear equipment profile.

An image forming apparatus includes: an imaging device that captures a reference facial image used for determining a change in a facial expression, and a user facial image; a processor that determines an emotion in the user facial image based on an amount of the change in the facial expression from the reference facial image, and performs message support corresponding to the emotion in the user facial image; and a user interface that detects an input operation by a user without delay in setting a printing condition when a print job is executed in response to a request made by the user. The processor obtains the reference facial image captured by the imaging device at a time point when the user interface detects the input operation without delay and the facial expression is assumed to be a reference for the change in the facial expression.

Systems and methods for providing a universal platform for at-home health testing and diagnostics are provided herein. In particular, a health testing and diagnostic platform is provided to connect medical providers with patients and to generate a unique, private testing environment. In some embodiments, the testing environment may facilitate administration of a medical test to a patient with the guidance of a proctor. In some embodiments, the patient may be provided with step-by-step instructions for test administration by the proctor within a testing environment. The platform may display unique, dynamic testing interfaces to the patient and proctor to ensure proper testing protocols and accurate test result verification.

A method and an apparatus for controlling a camera, and a medium and an electronic device are disclosed. The method includes: acquiring head portrait information of a teacher in a video frame image of a live classroom in real time; analyzing the head portrait information to acquire organ identification information of each organ, wherein the organ identification information is used to indicate whether the organ exists; determining an orientation type of a face in the head portrait information based on the organ identification information, wherein the orientation type comprises a forward type, a lateral type, and a backward type; controlling the camera to focus on the teacher in response to the orientation type being the forward type; and controlling the camera to focus on a blackboard in response to the orientation type being the backward type or the lateral type.

An electronic device for face recognition is provided. The electronic device is used to exclude an ineligible object to be identified according to the relative relationship between object distances and image sizes, the image variation with time and/or the feature difference between images captured by different cameras to prevent the possibility of cracking the face recognition by using a photo or a video.

A method with liveness testing may include: acquiring an infrared (IR) image including an object, and a depth image including the object; generating a first preprocessed IR image by performing first edge enhancement preprocessing on the IR image; generating a preprocessed depth image by performing second edge enhancement preprocessing on the depth image; and determining whether the object is a genuine object based on the first preprocessed IR image and the preprocessed depth image.

There is provided an information processing method, an information processing apparatus, and a program, by which the accuracy of facial authentication can be improved even in a case where there is an occluded region. The information processing apparatus includes a determination unit and a generation unit. The determination unit determines, on the basis of an occluded region of a face in an input facial image for authentication, a trimming facial range from the input facial image for authentication and a resolution. The generation unit generates a facial image for authentication in/at the trimming facial range and the resolution determined by the determination unit.

According to the present invention, a physique determination apparatus includes an image acquisition unit configured to acquire an image of an occupant, a facial feature point estimation unit configured to estimate facial feature points of the occupant based on the image, a head position estimation unit configured to estimate a relative position of a head of the occupant with respect to the camera based on the facial feature points, a body part estimation unit configured to estimate sizes of a plurality of parts of the occupant in the image, a skeleton estimation unit configured to estimate a skeleton size indicating an actual size of each part of the occupant based on the relative position and a size of each of the parts, and a physical determination unit configured to determine a physique of the occupant based on the skeleton size of each part of the occupant.

An image generation device includes: at least one memory storing a set of instructions; and at least one processor configured to execute the set of instructions to: select a second face image from a plurality of face images stored in advance based on directions of faces included in the plurality of face images and a direction of a face included in an input first face image; deform the second face image based on feature points of the face included in the first face image and feature points of a face included in the second face image such that a face region of the second face image matches a face region of the first face image; and generate a third face image in which the face region of the first face image is synthesized with a region other than the face region of the deformed second face image.

A spoofing detection apparatus 300 includes a face image obtaining unit 301 that obtains a first image frame that includes the face of a subject person obtained with a light-emitting apparatus 320 turned on and a second image frame that includes the face of the subject person obtained with a light-emitting apparatus 320 turned off, a face information extraction unit 302 that extracts first face information, and extracts second face information, a feature value calculation unit 303 that obtains a luminance value of the face portion in the first image frame, obtains a luminance value of the face portion in the second image frame, and calculates, based on these values, a feature value that reflects a three-dimensional shape, and that is independent of colors of a face surface, and a spoofing determination unit 304 that determines authenticity of subject person based on the feature value.