A method for 3D face reconstruction from any viewing angle based on adaptive deformation model

Abstract

The invention relates to a method for carrying out face three-dimensional reconstruction at any viewing angle on the basis of a self-adaptive deformable model. The method includes the steps of (1) obtaining face image data and screening a face image with high definition as original data, (2) positioning feature points, (3) coarsely estimating the angle of a face according to the positioning result of the feature points, (4) building a face three-dimensional deformable model, adjusting the feature points of the face to be at the same dimension as the face three-dimensional deformable model through translation and scaling and extracting coordinate information of the points corresponding to the feature points of the face to form a sparse face three-dimensional deformable model, (5) iterating face three-dimensional reconstruction by means of the particle swarm optimization algorithm according to the coarsely estimation value of the angle of the face and the sparse face three-dimensional deformable model to obtain a face three-dimensional geometric model, (6)mapping input face texture information in a two-dimensional image to the face three-dimensional geometric model in a texture pasting method after the face three-dimensional geometric model is obtained, so that a complete face three-dimensional model is obtained. The method can be widely used in the field of identity identification.

Description

technical field [0001] The invention relates to computer vision and computer graphics, in particular to a method for three-dimensional reconstruction of a human face at any viewing angle based on an adaptive deformation model. Background technique [0002] The large-scale coverage video surveillance system widely used in public security, intelligent security and other fields has put forward new requirements for pedestrian identification technology based on surveillance images. In recent years, in many vicious criminal cases in public areas, the face images of criminal suspects are obtained through video surveillance systems. , Reducing economic losses and reducing social adverse effects are of great significance. [0003] The current common multi-view face recognition technology can be divided into knowledge-based methods and statistical learning-based methods. The knowledge-based method uses local features of the face, such as eyes, nose, eyebrows, lips, and chin, etc., a...

AI Technical Summary

Problems solved by technology

However, in the environment of video surveillance, face images are acquired without the target being conscious, and there may be situations where the viewing angle changes greatly. Therefore, it is difficult for existing research to meet the requirements of 3D face reconstruction from any viewing angle.

[0005] Based on the above analysis, 3D face reconstruction from any angle is an important technology and research hotspot in the field of intelligent security, and the existing 3D face reconstruction methods are difficult to meet the needs

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