A non-transitory computer-readable recording medium stores a program for causing a computer to execute a process, the process includes identifying a working status of each of plural members based on a work volume of each of the plural members, determining a priority for each of the plural members as an assistance request destination based on the identified working status of each of the plural members, and displaying the plural members as candidates of the assistance request destination based on the determined priority for each of the plural members.

Systems and methods for image processing are described. One or more embodiments of the present disclosure identify a latent vector representing an image of a face, identify a target attribute vector representing a target attribute for the image, generate a modified latent vector using a mapping network that converts the latent vector and the target attribute vector into a hidden representation having fewer dimensions than the latent vector, wherein the modified latent vector is generated based on the hidden representation, and generate a modified image based on the modified latent vector, wherein the modified image represents the face with the target attribute.

An electronic device and a control method therefor are disclosed. A control method for an electronic device according to the present disclosure comprises the steps of: when a preset event is detected, acquiring a user image by photographing a user; acquiring a facial image including the user's face from the photographed user image and storing the facial image; and when a user input for identification of the facial image is received, providing the stored facial on the basis of at least one of a time and a place.

The disclosure pertains to techniques for image processing. One such technique comprises a method for image selection, comprising: obtaining a sequence of images, detecting a first face in one or more images of the sequence of images, determining a first location for the detected first face in each of the images having the detected first face, generating a heat map based on the first location of the detected first face in each of the images of the sequences of images, determining a face quality score for the detected first face for each of the one or more images having the detected first face, determining a peak face quality score for the detected first face based in part on the face quality score and the generated heat map, and selecting a first image of the sequence of images, corresponding with the peak face quality score for the detected first face.

An object recognition system of the present disclosure includes: a light source section that irradiates a subject with dot light having a predetermined pattern; an event detection sensor that receives the dot light having the predetermined pattern reflected by the subject and detects, as an event, that a change in luminance of a pixel exceeds a predetermined threshold; and a signal processor that performs, in a case where a plurality of successive pixels in a pixel array section of the event detection sensor detects occurrence of an event in a certain period, processing of removing the event as noise, the plurality of successive pixels being equal to or greater than a predetermined number of pixels.

A speech video generation device according to an embodiment includes a first encoder that receives an input of a first person background image of a predetermined person partially hidden by a first mask, and extracts a first image feature vector from the first person background image, a second encoder, which receives an input of a second person background image of the person partially hidden by a second mask, and extracts a second image feature vector from the second person background image, a third encoder, which receives an input of a speech audio signal of the person, and extracts a voice feature vector from the speech audio signal, a combining unit, which generates a combined vector of the first image feature vector, the second image feature vector, and the voice feature vector, and a decoder, which reconstructs a speech video of the person using the combined vector as an input.

Apparatuses, systems, and techniques are presented to reduce an amount of data to be transmitted for media content. In at least one embodiment, one or more neural networks are used to generate video and audio information corresponding to one or more people based, at least in part, on at least one image and voice information corresponding to the one or more people.

Disclosed is a method for simulating the rendering of a make-up product on the face of a subject, using a database of reference images including, for each reference individual, images of the face with and without the makeup product. The method includes: acquiring an image of the subject face without makeup; processing the image to extract, for each spatial area of each spatial frequency range of the image, first color feature values of the spatial area; determining, among the database of reference images, reference individuals having, when wearing no makeup, color feature values similar to the first color feature values of the subject; determining, from the first color feature values of the subject, and from color feature values of the reference individuals with and without the makeup product, second color feature values; and generating a modified image of the subject face based on the second color feature values.

Obfuscating a human or other subject in digital media preserves privacy. A user of a smartphone, for example, may enable a flag for obscuring her face in digital photos or movies. When any device captures digital media, the user's smartphone transmits the flag for receipt. The device capturing the digital media is thus informed of the user's desire to obscure her face or even entire image. The device capturing the digital media may thus perform an obscuration in response to the flag.

A system and method for making a custom miniature figurine using a 3D scanned image and a pre-sculpted body is described herein. The system includes a database, a server, a computing device, an automated distributed manufacturing system, and a 3D printing apparatus. An application of the computing device utilizes a camera of the computing device to scan a head of a user, create a 3D representation of the head of the user from the scans, combine the 3D representation of the head of the user with a pre-sculpted digital body and/or accessories selected by the user to create a work order, and transmit the work order to the automated distributed manufacturing system. The automated distributed manufacturing system performs digital modeling tasks, assembles a digital model, and transmits the digital model to the 3D printing apparatus. The 3D printing apparatus creates the custom miniature figurine.