Abstract: An artificial intelligence device is configured to: when a spoken sentence of a three-dimensional agency is generated, extract a keyword of the spoken sentence; acquire related content associated with the keyword of the spoken sentence to detect positions of an object and text in the related content; when an object and text corresponding to the keyword of the spoken sentence exist in the related content, map the positions of the object and the text corresponding to the keyword of the spoken sentence to three-dimensional coordinates; output the related content to a surrounding space of the three-dimensional agency; and control the operation of the three-dimensional agency so that the three-dimensional agency performs an utterance operation corresponding to the spoken sentence and an indication operation of indicating three-dimensional coordinates at which the object and the text of the related content are located.

Abstract: A three-dimensional agency generating method of an artificial intelligence device according to an embodiment of the present disclosure may include: acquiring a two-dimensional image including a target persona; pre-processing the two-dimensional image to extract a training dataset including voice information, face information, and motion information corresponding to the target persona; inputting the training dataset to an agency generation model to learn motion features of the target persona; confirming whether user input data for generating the three-dimensional agency is received; and when the user input data for generating the three-dimensional agency is received, inputting the user input data to the pre-trained agency generation model to generate the three-dimensional agency expressing the motion features of the target persona.

Abstract: Disclosed is an artificial intelligence (AI) apparatus including a two-dimensional (2D) image sensor configured to acquire a 2D image of a head of a person, a three-dimensional (3D) image sensor configured to acquire 3D head pose information of the head, and a processor configured to match the 2D image with the 3D head pose information, to extract 3D head pose information for determining a rotation direction of the head from the 3D head pose information, to extract a 2D image matched with the extracted 3D head pose information, to acquire 3D relative coordinates as a reference for correcting the 3D head pose information based on 2D coordinates of a predetermined landmark point of the extracted 2D image, and to acquire the corrected 3D head pose information of the predetermined landmark point of each 2D image by correcting the 3D head pose information based on the 3D relative coordinates.

Abstract: Disclosed is an artificial intelligence (AI) apparatus including a two-dimensional (2D) image sensor configured to acquire a 2D image of a head of a person, a three-dimensional (3D) image sensor configured to acquire 3D head pose information of the head, and a processor configured to match the 2D image with the 3D head pose information, to extract 3D head pose information for determining a rotation direction of the head from the 3D head pose information, to extract a 2D image matched with the extracted 3D head pose information, to acquire 3D relative coordinates as a reference for correcting the 3D head pose information based on 2D coordinates of a predetermined landmark point of the extracted 2D image, and to acquire the corrected 3D head pose information of the predetermined landmark point of each 2D image by correcting the 3D head pose information based on the 3D relative coordinates.