A three-dimensional face modeling method and system assisted by face geometry information

Abstract

The invention discloses a three-dimensional face modeling method and system assisted by face geometric information. The method is based on the principle of binocular stereo vision of active projection, and uses phase information contained in a multi-frame striped structured light field to perform a modeling operation on a target face surface. Mark, use the camera to obtain the modeling image, obtain the relative phase information contained in the striped structured light field based on the spatial phase unwrapping technology, and use the facial feature points as the anchor points to unify the relative phase information of the binocular camera to the same benchmark, Then phase matching is performed to obtain the disparity map, and then the 3D face model is reconstructed. This method makes full use of the position information of the facial feature points contained in the face fringe map, and performs phase unwrapping without adding an additional structured light field, effectively reducing the number of projections and shooting structured light fields required to complete the three-dimensional modeling, shortening the Modeling image acquisition time, and effectively ensure the modeling accuracy.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to a three-dimensional face modeling method and system assisted by face geometric information. Background technique [0002] Reconstructing the three-dimensional surface shape of objects from digital images is a long-term research focus of computer vision. In recent years, 3D face modeling technology has developed rapidly, and realistic 3D face models have broad application prospects in many fields such as film and television, games, education, virtual reality, plastic surgery, identity authentication, and 3D printing. In recent years, public security and information security have become major areas related to the national economy and people's livelihood. Biometric recognition technology has developed rapidly in recent years. Face recognition technology has attracted widespread attention because of its wide adaptability to scenarios and non-contact characteristics. However, ...

AI Technical Summary

Problems solved by technology

The current situation that the temporal phase unwrapping method needs to increase the number of modeling images is not conducive to three-face measurement

In the case of keeping the acquisition time of modeling images unchanged, this contradiction can also be alleviated by improving hardware performance, but this means an increase in cost, which is not conducive to large-scale promotion and application

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