Three dimensional montage generation system and method based on two dimensional single image

A three-dimensional montage generation method based on a single two-dimensional image, comprising:

• extracting a feature point of a two-dimensional face image;
• obtaining a correlation between the feature point and three-dimensional face image information stored in a database;
• estimating a depth of each portion of the two-dimensional face image based on the correlation;
• transforming a three-dimensional template model based on the feature point and the estimated depth information of each portion of the two-dimensional face image;
• and
• generating a three-dimensional montage by rendering the two-dimensional face image to the transformed three-dimensional template model,
• wherein the correlation is based on a comparison of a facial features characteristic of a predetermined facial type, as included in the three-dimensional face image information stored in the database;
• and
• wherein the depth of each portion of the two-dimensional face image is estimated based on a comparison of an average facial shape and predetermined depth of features of the facial features characteristic of the predetermined facial type with the feature point of the two-dimensional face image.

A three-dimensional montage generation system based on a single two-dimensional image, comprising:

• a processor configured to
• extract a feature point of an input two-dimensional face image;
• store three-dimensional face image information;
• obtain a correlation between the three-dimensional face image information and the feature point, and estimate a depth of each portion of the two-dimensional face image based on the correlation;
• project the two-dimensional face image to a three-dimensional template model and transform the three-dimensional template model based on the feature point and the estimated depth information of each portion of the two-dimensional face image;
• and
• generate a three-dimensional montage by rendering the two-dimensional face image to the transformed three-dimensional template model,
• wherein the correlation is based on a comparison of a facial features characteristic of a predetermined facial type, and
• wherein the depth of each portion of the two-dimensional face image is estimated based on a comparison of an average facial shape and predetermined depth of features of the facial features characteristic of the predetermined facial type with the feature point of the two-dimensional face image.