Abstract:
A method and an apparatus for virtual training based on tangible interaction are provided. The apparatus acquires data for virtual training, and acquires a three-dimensional position of a real object based on a depth image and color image of the real object and infrared (IR) data included in the obtained data. Then, virtualization of an overall appearance of a user is performed by extracting a depth from depth information on a user image included in the obtained data and matching the extracted depth with the color information, and depth data and color data for the user obtained according to virtualization of the user is visualized in virtual training content. In addition, the apparatus performs correction on joint information using the joint information and the depth information included in the obtained data, estimates a posture of the user using the corrected joint information, and estimates a posture of a training tool using the depth information and IR data included in the obtained data.
Abstract:
An apparatus and method for recommending contents based on a metadata graph are provided. The apparatus includes a contents metadata acquirer configured to acquire metadata of contents, a contents-related data acquirer configured to acquire contents-related data from the Web, a metadata graph generator configured to analyze acquired contents metadata and contents-related data to generate a metadata graph, a metadata graph DB configured to store a metadata graph generated by the metadata graph generator, and a contents recommender configured to search for contents that are similar to specific contents viewed by a user through a contents output terminal using the metadata graph stored in the metadata graph DB, and recommend the searched contents to the user through the contents output terminal.
Abstract:
An apparatus and method for recognizing an object are provided. The apparatus includes an input component configured to receive an input image that includes a target object, and a processor configured to recognize a target object in the received image using image-object correlation information that represents a correlation between an image and an object.