A three dimensional, 3D, content generating apparatus comprising: a memory storing instructions; a processor configured to execute the stored instructions to: receive a plurality of images of a face, the plurality of images being captured from different locations; identify a plurality of feature points of the face by inputting the plurality of images to a learned model, identify, for each input image, a size of a left area of the face and a size of a right area of the face using a location of at least one representative among the identified plurality of feature points, identify an angle of the face in roll, pitch, and yaw directions based on the size of the left area of the face and the size of the right area of the face, extract 3D location information of the plurality of feature points, and form at least one depth map with respect to a surface of the face based on the extracted 3D location information of the plurality of feature points by defining a range of 3D locations of the plurality of feature points that form a surface of the face; determine a capturing location, from which each of the plurality of images is captured, based on the 2D location of a feature point of the captured image, the extracted 3D location information of the plurality of feature points, and the angle and a size of the face; and generate a 3D content of the face based on the determined capturing location, the at least one depth map and the plurality of images. a memory storing instructions; a processor configured to execute the stored instructions to: receive a plurality of images of a face, the plurality of images being captured from different locations; identify a plurality of feature points of the face by inputting the plurality of images to a learned model, identify, for each input image, a size of a left area of the face and a size of a right area of the face using a location of at least one representative among the identified plurality of feature points, identify an angle of the face in roll, pitch, and yaw directions based on the size of the left area of the face and the size of the right area of the face, extract 3D location information of the plurality of feature points, and form at least one depth map with respect to a surface of the face based on the extracted 3D location information of the plurality of feature points by defining a range of 3D locations of the plurality of feature points that form a surface of the face; determine a capturing location, from which each of the plurality of images is captured, based on the 2D location of a feature point of the captured image, the extracted 3D location information of the plurality of feature points, and the angle and a size of the face; and generate a 3D content of the face based on the determined capturing location, the at least one depth map and the plurality of images. receive a plurality of images of a face, the plurality of images being captured from different locations; identify a plurality of feature points of the face by inputting the plurality of images to a learned model, identify, for each input image, a size of a left area of the face and a size of a right area of the face using a location of at least one representative among the identified plurality of feature points, identify an angle of the face in roll, pitch, and yaw directions based on the size of the left area of the face and the size of the right area of the face, extract 3D location information of the plurality of feature points, and form at least one depth map with respect to a surface of the face based on the extracted 3D location information of the plurality of feature points by defining a range of 3D locations of the plurality of feature points that form a surface of the face; determine a capturing location, from which each of the plurality of images is captured, based on the 2D location of a feature point of the captured image, the extracted 3D location information of the plurality of feature points, and the angle and a size of the face; and generate a 3D content of the face based on the determined capturing location, the at least one depth map and the plurality of images.