Abstract:
Disclosed herein is a method for operating an apparatus for generating an all-in-focus image. The method may include generating a focus-map-calculating model through deep learning for images having different focuses and a reference all-in-focus image corresponding thereto, calculating a focus map for each of multi-focus images, which are captured by a camera, using the focus-map-calculating model, and generating an all-in-focus image for the multi-focus images using the focus map.
Abstract:
Disclosed herein are an apparatus and method for supporting choreography, which can easily and systematically search for existing dances through various interfaces and can check the simulation of the found dances. For this, the apparatus includes a dance motion DB for storing pieces of motion capture data about respective multiple dance motions, a dance attribute DB for storing pieces of biomechanical information about respective multiple dance motions, a search unit for receiving a search target dance from a user using a method corresponding to at least one of a sectional motion search and a dance attribute search, and searching the dance motion DB and the dance attribute DB for choreographic data based on similarity determination, and a display unit for displaying choreographic data of the dance motion DB and the dance attribute DB, found as a result of the search based on similarity determined by the search unit.
Abstract:
Provided is a multiple-intelligence detection system. The multiple-intelligence detection system includes an image detection device obtaining image information for evaluating multiple-intelligence from a user, a multiple-intelligence measurement model unit receiving the image information from the image detection device to perform multiple-intelligence evaluation through selection of one of a first reaction and a second reaction, and a content unit receiving a result of the evaluated multiple-intelligence from the multiple-intelligence measurement model unit to generate an individual portfolio on the basis of the received result. The multiple-intelligence measurement model unit selects one of the first and second reactions on the basis of a reference reaction according to feelings and behavior patterns of the user.
Abstract:
Disclosed herein are an apparatus and method for classifying clothing attributes based on deep learning. The apparatus includes memory for storing at least one program and a processor for executing the program, wherein the program includes a first classification unit for outputting a first classification result for one or more attributes of clothing worn by a person included in an input image, a mask generation unit for outputting a mask tensor in which multiple mask layers respectively corresponding to principal part regions obtained by segmenting a body of the person included in the input image are stacked, a second classification unit for outputting a second classification result for the one or more attributes of the clothing by applying the mask tensor, and a final classification unit for determining and outputting a final classification result for the input image based on the first classification result and the second classification result.
Abstract:
Disclosed herein are an apparatus and method for generating robot interaction behavior. The method for generating robot interaction behavior includes generating co-speech gesture of a robot corresponding to utterance input of a user, generating a nonverbal behavior of the robot, that is a sequence of next joint positions of the robot, which are estimated from joint positions of the user and current joint positions of the robot based on a pre-trained neural network model for robot pose estimation, and generating a final behavior using at least one of the co-speech gesture and the nonverbal behavior.
Abstract:
A user terminal for preventing communication interruption during handoff in an information-centric network is provided. The user terminal includes a connection registration unit configured to register the user terminal in an access node for connection to the access node, and a communication interruption prevention unit configured to receive, from the access node in which the user terminal is registered, zone information including identification information on other access nodes that are candidate handoff targets of the user terminal, and transfer the zone information to a counterpart communication device that currently performs communication, wherein the user terminal receives a message from the counterpart communication device through one of the other access nodes that are candidate handoff targets during the handoff. Accordingly, communication interruption is prevented.
Abstract:
An apparatus for discriminating a disguised face includes a face area detector configured to detect a face area in an input image provided from an external source. The apparatus includes a skin color modeling module configured to separate a skin color area from the face area and a disguised face discriminator configured to determine whether signals in the skin color area have a pulse component to discriminate whether a face in the input image is the disguised face.