A computer-implemented method includes obtaining source video data comprising a plurality of image frames, and using a face tracker to detect one or more instances of faces within respective sequences of image frames of the source video data. For a first instance of a given face detected within a first sequence of image frames, the method includes determining a framewise location and size of the first instance of the given face in the first sequence of image frames, using a neural renderer to obtain replacement video data comprising a replacement instance of the given face, and using the determined framewise location and size to replace at least part of the first instance of the given face with at least part of the replacement instance of the given face.

A face authentication apparatus includes a face image acquisition unit that acquires a face image of an authentication target, a collation unit that performs face authentication by calculating similarity between face information of the face image of the authentication target and reference face image of each registered user and comparing the similarity with a threshold, a prediction unit that predicts a change in the similarity on the basis of similarity history on authentication success, and a threshold change unit that changes the threshold on the basis of the prediction result.

Methods and systems include using three-dimensional imaging apparatuses to capture three-dimensional images and analyze resulting three-dimensional image data to enhance captured two-dimensional images for scanning related processes such as object identification, symbology detection, object recognition model training, and identifying improper scan attempts or other actions performed by an operator. Imaging systems such as bi-optic readers, handheld scanners, and machine vision systems are described using three-dimensional imaging apparatuses and described capturing three-dimensional images and using with captured two-dimensional images.

A digital makeup artist system includes a mobile device, a database system storing cosmetic routine information, common makeup looks, cosmetic products for skin types and ethnicity, and user look preferences of a user. The mobile device includes a user interface for interacting with a digital makeup artist. The digital makeup artist performs an interactive dialog with the user in order to capture needs of the user, including types of makeup look, indoor or outdoor look, skin condition, facial problem areas, favorite facial features. The computation circuitry analyzes the user's face image to identify face parts, analyzes the face image to determine facial characteristics, and generates image frames to be displayed in synchronization with the interaction with the digital makeup artist based on the analyzed face image, needs of the user, the stored cosmetic routine information, common makeup looks, cosmetic products for skin types and ethnicity, and the user look preferences.

A system, method, and computer-readable media for obtaining the informed consent of a patient for a medical procedure. Specifically, a video describing a medical procedure may be provided to the patient through a client device having two display portions. As the video is playing in a first portion, the client device may capture the patient watching the video and display the captured image on the second portion. The entire display of the client device may be recorded, providing a record that the patient has watched the video describing the medical procedure and consents to the medical procedure.

A mobile phone may include a display, wireless communication circuitry, a battery, and an enclosure enclosing the display, the wireless communication circuitry, and the battery. The enclosure may include a front cover formed from a transparent material and defining a front exterior surface of the mobile phone, a rear cover formed from a glass material and defining a rear exterior surface of the mobile phone, and a first housing component including a first wall section defining a first side exterior surface of the mobile phone, a second wall section defining a second side exterior surface opposite to the first side exterior surface, and a mid-chassis section extending between the first wall section and the second wall section.

A neural network image processing apparatus arranged to acquire images from an image sensor and to: identify a ROI containing a face region in an image; determine at plurality of facial landmarks in the face region; use the facial landmarks to transform the face region within the ROI into a face region having a given pose; and use transformed landmarks within the transformed face region to identify a pair of eye regions within the transformed face region. Each identified eye region is fed to a respective first and second convolutional neural network, each network configured to produce a respective feature vector. Each feature vector is fed to respective eyelid opening level neural networks to obtain respective measures of eyelid opening for each eye region. The feature vectors are combined and to a gaze angle neural network to generate gaze yaw and pitch values substantially simultaneously with the eyelid opening values.

This invention is directed to an electronic device with an embedded authentication system for restricting access to device resources. The authentication system may include one or more sensors operative to detect biometric information of a user. The sensors may be positioned in the device such that the sensors may detect appropriate biometric information as the user operates the device, without requiring the user to perform a step for providing the biometric information (e.g., embedding a fingerprint sensor in an input mechanism instead of providing a fingerprint sensor in a separate part of the device housing). In some embodiments, the authentication system may be operative to detect a visual or temporal pattern of inputs to authenticate a user. In response to authenticating, a user may access restricted files, applications (e.g., applications purchased by the user), or settings (e.g., application settings such as contacts or saved game profile).

Facial recognition-based authentication comprises obtaining a first image of a target object, updating projection information associated with a display by a display device, obtaining a second image of the target object, the second image being an image of the target object after the projection information is updated, obtaining an image difference data based at least in part on the first image and the second image, and determining whether the target object is a virtual object based at least in part on the image difference data.

The present disclosure relates to thermal temperature measurement and facial recognition and discloses a gate mate comprising a detection passage system integrating temperature measurement and facial recognition, the gate mate comprises a face imaging camera lens, a thermopile sensor, a TOF (time-of-flight) optical ranging lens module, and an environmental temperature compensation module. The face imaging camera lens is used to detect and recognize human face and detect whether a front face of a measured person faces the face imaging camera lens. The thermopile sensor is used to detect a temperature of a forehead of the measured person and an environmental temperature. The TOF optical ranging lens module is used to detect a distance between the human face and the thermopile sensor. The environmental temperature compensation module is used to perform temperature compensation.