Three-dimensional gridding method of two-dimensional front view human face image

Abstract

The invention discloses a three-dimensional gridding method of a two-dimensional front view human face image, which comprises the steps of analyzing the image with a two-dimensional front view human face, and automatically extracting human face feature information; aligning feature points of a reference human face three-dimensional model with the feature points of the two-dimensional front view human face for obtaining a two-dimensional affine matrix; exerting the obtained three-dimensional affine matrix on each point of the reference human face three-dimensional model for obtaining a specific human face three-dimensional model; carrying out local regional alignment on the specific human face three-dimensional model; carrying out boundary grid extension on the specific human face three-dimensional model for obtaining a non-face grid; exerting an obtained three-dimensional similar matrix on each point of an auxiliary grid, and translating the auxiliary grid to the corresponding position of the specific human face three-dimensional model; and mapping the image of the two-dimensional front view human face to the specific human face three-dimensional model as textures, thereby completing the gridding of the human face image. The method can well extract the human face feature points from the two-dimensional image, and a true and natural three-dimensional model of the human face is produced according to the feature points.

Description

technical field [0001] The invention relates to a three-dimensional face recognition technology, in particular to a three-dimensional meshing method for a two-dimensional front face image. Background technique [0002] The human face is not only distributed with important sensory organs on the human body, but also a place where human beings express their thoughts, emotional feedback, communication and other intelligent presentations. Realistic face synthesis is not only one of the fields of biology, cognitive psychology, and artificial intelligence, but also one of the most fundamental problems in computer graphics, and it is also one of the most challenging problems. [0003] The pioneering work of computer three-dimensional face modeling and its expression animation technology began with the research done by Parke in the 1970s. After more than 30 years, the realistic computer 3D face animation research has attracted the attention of many researchers, and the 3D face model...

AI Technical Summary

Problems solved by technology

However, the video-based modeling technology needs to extract image sequences of different perspectives from the video sequence first. If the image sequence is not extracted properly, it will be difficult to generate a realistic face model.

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