Abstract: A three dimensional (3D) content generating apparatus includes an inputter configured to receive a plurality of images of an object captured from different locations; a detector configured to identify the object and detect a predetermined feature point of the object from each of the plurality of images; a map former configured to extract 3D location information of the detected feature point, and configured to form at least one depth map with respect to a surface of the object based on the extracted 3D location information of the feature point; and a content generator configured to generate a 3D content of the object using the at least one depth map and the plurality of images.

Abstract: A three dimensional (3D) content generating apparatus includes an inputter configured to receive a plurality of images of an object captured from different locations; a detector configured to identify the object and detect a predetermined feature point of the object from each of the plurality of images; a map former configured to extract 3D location information of the detected feature point, and configured to form at least one depth map with respect to a surface of the object based on the extracted 3D location information of the feature point; and a content generator configured to generate a 3D content of the object using the at least one depth map and the plurality of images.

Abstract: A three dimensional (3D) content generating apparatus includes an inputter configured to receive a plurality of images of an object captured from different locations; a detector configured to identify the object and detect a predetermined feature point of the object from each of the plurality of images; a map former configured to extract 3D location information of the detected feature point, and configured to form at least one depth map with respect to a surface of the object based on the extracted 3D location information of the feature point; and a content generator configured to generate a 3D content of the object using the at least one depth map and the plurality of images.

Abstract: A three dimensional (3D) content generating apparatus includes an inputter configured to receive a plurality of images of an object captured from different locations; a detector configured to identify the object and detect a predetermined feature point of the object from each of the plurality of images; a map former configured to extract 3D location information of the detected feature point, and configured to form at least one depth map with respect to a surface of the object based on the extracted 3D location information of the feature point; and a content generator configured to generate a 3D content of the object using the at least one depth map and the plurality of images.

Abstract: An image transformation apparatus includes a detection unit which is configured to detect, from each of a user image and a reference image, feature points of a face and angle information of the face, a feature points adjusting unit which is configured to adjust the feature points of the user image or the reference image by using the detected angle information, a face analysis unit which is configured to compare facial features contained in the user image and the reference image by using the adjusted feature points, and an image transformation unit which is configured to transform the user image by using a result of the comparison of the facial features from the face analysis unit.

Abstract: An image processing apparatus and a method of processing an image are provided. The image processing apparatus includes a depth estimation unit for estimating a depth of an input three-dimensional (3D) image; a text area detection unit for detecting a text area included in the 3D image; a mask generation unit for generating a text mask for the text area; and a depth correction unit for correcting a depth of the text area based on the estimated depth of the input 3D image and the text mask.

Abstract: An image transformation apparatus includes a detection unit which is configured to detect, from each of a user image and a reference image, feature points of a face and angle information of the face, a feature points adjusting unit which is configured to adjust the feature points of the user image or the reference image by using the detected angle information, a face analysis unit which is configured to compare facial features contained in the user image and the reference image by using the adjusted feature points, and an image transformation unit which is configured to transform the user image by using a result of the comparison of the facial features from the face analysis unit.

Abstract: An image processing apparatus and a method of processing an image are provided. The image processing apparatus includes a depth estimation unit for estimating a depth of an input three-dimensional (3D) image; a text area detection unit for detecting a text area included in the 3D image; a mask generation unit for generating a text mask for the text area; and a depth correction unit for correcting a depth of the text area based on the estimated depth of the input 3D image and the text mask.

Abstract: An image processing method is provided. The image processing method includes: shifting an object displayed in a reference image according to depth information; determining a stretching area of a variable size by using an energy value of a background area of the shifted object; and inserting a pixel of the stretching area into a hole area generated by shifting the object to generate a target image. This results in prevention of the phenomenon of image quality deterioration.

Abstract: An image processing method including: obtaining points on left-eye and right-eye images to be generated from a two-dimensional (2D) image, to which a predetermined pixel of the 2D image is to be mapped, by using the sizes of holes to be generated in the left-eye and right-eye images; and generating the left-eye and right-eye images respectively having the obtained points to which the predetermined pixel of the 2D image is mapped.

Abstract: An image processing method including: obtaining points on left-eye and right-eye images to be generated from a two-dimensional (2D) image, to which a predetermined pixel of the 2D image is to be mapped, by using the sizes of holes to be generated in the left-eye and right-eye images; and generating the left-eye and right-eye images respectively having the obtained points to which the predetermined pixel of the 2D image is mapped.

Abstract: A file management method of efficiently searching for and managing files, and an information storage medium storing the files, the method of searching for a file from an information storage medium storing at least one file including: combining at least one tag item selected or excluded by a user through a graphic user interface to generate a query; searching for tag information included in the at least one file and determining whether one or more files match the query; and, if one or more files match the query, outputting a list of the one or more files. Therefore, a user can easily search for a desired file even when he or she does not know the desired file's path, and can efficiently classify and manage a large number of media files.

Abstract: A user interface method for activating a clickable object and a playback apparatus for performing the user interface method are provided. The user interface method comprises highlighting a clickable object included in a moving image played on a screen, and activating the highlighted clickable object. At least one of the operation of highlighting the clickable object and the operation of activating the highlighted clickable object is performed when a particular button specially provided in a user input device is pressed. A highlight is sequentially moved between clickable objects by pressing the particular button once or twice or by using a menu mode or a normal button to select one clickable object, and the selected clickable object is activated.