A spoofing detection apparatus comprises obtaining, from an image capture apparatus, a first image frame that includes the face of a subject person obtained when a light-emitting apparatus is emitting light and a second image frame that includes the face of the subject person obtained when the light-emitting apparatus is turned off, extracting, from the first image frame, information specifying a face portion of the subject person, and extract, from the second image frame, information specifying a face portion of the subject person, extracting a portion that includes a bright point formed by reflection in an iris region of an eye of the subject person, from the first image frame, extracts a portion corresponding to the portion that includes the bright point, from the second image frame, and calculates a feature that is independent of the position of the bright point, and determining authenticity of subject person based on the feature.

A processor-implemented method with liveness detection includes: receiving a plurality of phase images of different phases; generating a plurality of preprocessed phase images by performing preprocessing, including edge enhancement processing, on the plurality of phase images of different phases; generating a plurality of differential images based on the preprocessed phase images; generating a plurality of low-resolution differential images having lower resolutions than the differential images, based on the differential images; generating a minimum map image based on the low-resolution differential images; and performing a liveness detection on an object in the phase images based on the minimum map image.

Photochromic formulations including a core material and a photochromic layer overlying the core material and forming a particle are provided. The photochromic layer may include a plurality of photochromic materials, including a first photo-responsive pigment characterized by reversible diffuse reflectance at a first central wavelength from 490 nm to 520 nm in response to irradiation by photons of a first characteristic wavelength, a second photo-responsive pigment characterized by reversible diffuse reflectance at a second central wavelength from 570 nm to 590 nm in response to irradiation by photons of a second characteristic wavelength, and a third photo-responsive pigment characterized by reversible diffuse reflectance at a third central wavelength from 450 nm to 495 nm and a fourth central wavelength from 625 nm to 740 nm in response to irradiation by photons of a third characteristic wavelength. The first, second, and third characteristic wavelengths may be different.

A method and an apparatus for recognizing an object are disclosed. The apparatus may extract a plurality of features from an input image using a single recognition model and recognize an object in the input image based on the extracted features. The single recognition model may include at least one compression layer configured to compress input information and at least one decompression layer configured to decompress the compressed information to determine the features.

A display device includes a biometric information value acquiring portion, a comparing portion, and a subject state determining portion. The biometric information value acquiring portion subsequently acquires a subject's biometric information value. The comparing portion compares a first biometric information value that is subsequently acquired by the biometric information value acquiring portion with a second biometric information value which is different from the first biometric information value that is subsequently acquired by the biometric information value acquiring portion. The subject state determining portion determines that the user could get a certain improvement owing to the treatment on the user on the basis of a comparison result by the comparing portion.

Techniques for the generation of dubbed audio for an audio/video are described. An exemplary approach is to receive a request to generate dubbed speech for an audio/visual file; and in response to the request to: extract speech segments from an audio track of the audio/visual file associated with identified speakers; translate the extracted speech segments into a target language; determine a machine learning model per identified speaker, the trained machine learning models to be used to generate a spoken version of the translated, extracted speech segments based on the identified speaker; generate, per translated, extracted speech segment, a spoken version of the translated, extracted speech segments using a trained machine learning model that corresponds to the identified speaker of the translated, extracted speech segment and prosody information for the extracted speech segments; and replace the extracted speech segments from the audio track of the audio/visual file with the spoken versions spoken version of the translated, extracted speech segments to generate a modified audio track.

Systems and methods for secure face authentication are provided. One such system is embodied as a first device for authenticating a user using facial recognition for a second device, the first device including a memory; and a processing circuitry coupled to the memory, the second device, and a camera, where the processing circuitry is configured to: receive a reference facial image of the user from the second device; receive a first facial image of the user from the camera; perform facial recognition using the first facial image and the reference facial image; and send an indication to the second device indicative of whether the first facial image was a match for the reference facial image; and where the first device is configured to operate without an operating system.

In some examples, the disclosure describes a device, comprising: a processor resource, and a non-transitory memory resource storing machine-readable instructions stored thereon that, when executed, cause the processor resource to: determine an emotion based on a facial expression of a user captured within an image, apply a plurality of alterations to the image to exaggerate the facial expression of the user when the emotion has continued for a threshold quantity of time, and remove the plurality of alterations to the image when the emotion of the user has changed.

The method, system, and non-transitory computer-readable medium embodiments described herein are directed to verifying identification documents. In various embodiments, a server may receive a first image of a front-side of an identification document. The server may extract a first feature of the front-side of the identification document from the first image using optical character recognition (OCR) and identify a first environmental feature from the first image. The server may receive a second image of a backside of the identification document and identify a second feature of the backside of the identification document from the second image. The server may also identify a second environmental feature from the second image. The server may verify the identification document by confirming that the first feature matches the second feature and the first environmental feature matches the second environmental feature.

There is provided a method including instructing a notification apparatus to issue a notification in a case where a video image capturing an entrance of a specific location includes an unregistered person moving toward the specific location, and deactivating the notification by the notification apparatus in a case where a video image capturing the specific location includes a pre-registered person.