Abstract: Disclosed is a dental orthodontic sheet having a composite structure in which different materials are stacked and bound to each other. The composite structure dental orthodontic sheet includes a first sheet layer, a second sheet layer, and an intermediate sheet layer formed between the first sheet layer and the second sheet layer, wherein the intermediate sheet layer includes a mat portion made of a softer material than each of the first sheet layer and the second sheet layer, the mat portion being formed so as to have a mesh structure, and a binding portion configured to allow mesh holes of the mat portion to be filled with materials of the first sheet layer and the second sheet layer such that the first sheet layer and the second sheet layer are bound to each other.

Abstract: In accordance with an aspect of the present disclosure, there is provided a method for recognizing a pose performed by a pose recognition device. The method comprises, acquiring first position information on a portion and remaining portion of a body part which is a target of pose recognition, inputting the first position information on the remaining portion into a three-dimensional skeleton model, acquiring second position information on the remaining portion of the body part according to a calculation based on anatomical characteristics of the three-dimensional skeleton model, and recognizing the pose of the body part based on the first position information and the second position information.

Abstract: In accordance with an aspect of the present disclosure, there is provided a method for recognizing a pose performed by a pose recognition device. The method comprises, acquiring first position information on a portion and remaining portion of a body part which is a target of pose recognition, inputting the first position information on the remaining portion into a three-dimensional skeleton model, acquiring second position information on the remaining portion of the body part according to a calculation based on anatomical characteristics of the three-dimensional skeleton model, and recognizing the pose of the body part based on the first position information and the second position information.

Abstract: An apparatus and method for verifying broadcast content object identification based on web data. The apparatus includes: a web data processor configured to collect and process web data related to broadcast content and create content knowledge information by tagging the web data to the broadcast content; a content knowledge information storage portion configured to store the content knowledge information; and an object identification verifier configured to verify a result of identifying an object contained in the broadcast content, using the content knowledge information.

Abstract: Provided is an object detecting method and apparatus, the apparatus configured to extract a frame image and a motion vector from a video, generate an integrated feature vector based on the frame image and the motion vector, and detect an object included in the video based on the integrated feature vector.

Abstract: An apparatus and method for verifying broadcast content object identification based on web data. The apparatus includes: a web data processor configured to collect and process web data related to broadcast content and create content knowledge information by tagging the web data to the broadcast content; a content knowledge information storage portion configured to store the content knowledge information; and an object identification verifier configured to verify a result of identifying an object contained in the broadcast content, using the content knowledge information.

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.