Abstract:
Provided is a mobile manipulator for performing a target motion, which includes a base unit configured to perform a positional shift and having a rail in some section thereof, and an arm unit including multi-joints and configured to perform a positional shift on the rail in consideration of a center of gravity when performing a target motion. The arm unit performs the target motion through adaptive neural network-based compensation control.
Abstract:
A hand motion recognizing apparatus obtains an image with first resolution including a hand and an image with second resolution higher than the first resolution including the hand, maps the image with the first resolution and the image with the second resolution, extracts a hand position from the image with the first resolution, obtains a hand region corresponding to the hand position from the image with the second resolution mapped to the image with the first resolution, and subsequently estimates a hand motion from the hand region.
Abstract:
Provided is a teaching device for a mobile manipulator based on a mobile robot and a collaborative robot. The teaching device includes a communication unit that transmits/receives data to and from the mobile manipulator, a memory that stores a program providing an interface for performing a task of the mobile manipulator, and a processor that operates a teaching program that performs map creation and autonomous setting for the mobile robot, and setting necessary for robot manipulation for the collaborative robot on the same interface.
Abstract:
Disclosed is an apparatus and method of generating a VR sickness prediction model. A method of generating a VR sickness prediction model according to the present disclosure includes: displaying virtual reality content on a display unit; detecting first VR sickness information of a user who experiences the virtual reality content using a sensor; determining second VR sickness information using a user input that is input from the user in response to a request for inputting a degree of VR sickness for the virtual reality content; performing machine learning based on supervised learning using VR sickness-inducing factors for the virtual reality content, the first VR sickness information, and the second VR sickness information; and determining a correlation between the VR sickness-inducing factors and a list of VR sickness symptoms on a basis of the performed machine learning.
Abstract:
A method of generating 3D printing data performed by an apparatus for generating 3D printing data includes generating a 3D model of an object; generating a surface height map from a texture image indicating a surface texture of the object; setting an area in which the surface height map is projected on a surface of the 3D model; slicing the 3D model into a plurality of cross-section segments; and correcting a shape of at least a portion among the cross-section segments in consideration of the area in which the surface height map is projected on the 3D model.
Abstract:
Provided is a gesture processing method for continuous value input. The gesture processing method includes acquiring a gesture input, extracting a moving direction of a pointing means interoperating with the gesture input, extracting a direction change angle of the pointing means, when the pointing means is moved after the moving direction and the direction change angle are extracted, extracting a relative position indicating a continuous movement amount of the pointing means, matching the extracted relative position with a continuous value of a control item, combining the moving direction of the pointing means, the direction change angle of the pointing means, and the relative position to control setting of the control item, and executing a control instruction for the control item.
Abstract:
Provided are a system and method for preprocessing sequential video images for fire detection based on deep learning and a method of training a deep learning network for fire detection. The system includes a selector configured to select a plurality of sequential images in streaming data as one set, a converter configured to convert color information of the plurality of selected sequential set images into spectral reflectance information using preset standard color space feature information, a filtering part configured to filter the plurality of sequential set images of which the color information is converted into the spectral reflectance information through a fire color filter, and a fire map generator configured to generate one fire map image by compressing the plurality of filtered sequential set images.
Abstract:
A method of representing a 3D video from a 2D video by use of a node-based task pipeline for 3D video representation, the method implementable by a computer and including generating nodes, each having a defined task sequence required for a 3D video representation, in a node connecting task section provided to a Graphic User Interface (GUI), generating a task pipeline defining a connectivity relationship between the generated nodes, providing a user interface that is configured to operate user-defined data that is to be used by a certain node of the task pipeline, and generating user-defined data based on a user input that is input through the user interface, and outputting a 3D video from an input 2D video by use of the task pipeline and the user-defined data.
Abstract:
Provided is an apparatus and method for generating a stereoscopic image through installation of an external camera, the apparatus including a characteristic comparator to compare a characteristic of an internal camera module and a characteristic of the external camera module, a matching performer to perform an image characteristic matching process on the internal camera module and the external camera module when a comparison result indicates a presence of a difference in characteristics of the internal camera module and the external camera module, an image acquirer to acquire a plurality of images of an object using the internal camera module and the external camera module on which the image characteristic matching process is performed, and a stereoscopic image generator to generate a stereoscopic image by integrating the plurality of images.
Abstract:
An apparatus and method of producing stereoscopic subtitles by analyzing a three-dimensional (3D) space is disclosed, the apparatus including a camera position calculator to calculate a position of a first camera and a position of a second camera from a first image and a second image, respectively, a subtitle flat arranger to arrange a subtitle flat using a viewing direction of the first camera and a viewing direction of the second camera at the calculated positions, and a subtitle producer to produce subtitles using the subtitle flat.