Three-dimensional face calibrating method capable of resisting posture and facial expression changes

Abstract

The invention discloses a three-dimensional face calibrating method capable of resisting posture and facial expression changes. The three-dimensional face calibrating method comprises an active appearance model establishing stage and a face calibrating stage. In the active appearance model establishing stage, a three-dimensional face is acquired through three-dimensional image acquisition equipment, important markers of the face are manually marked, and through the grid shape and appearance information of the face, an active appearance model based on a depth image is established; in the face calibrating stage, the face is roughly calibrated through an average nose model first and then a test face is matched with the active appearance model based on the depth image to finely calibrate the face. By the method from rough calibration to fine calibration, the posture and facial expression changes of the face can be resisted, so that the face can be accurately calibrated under a natural condition; through conversion of the three-dimensional face onto the depth image, the calibrating efficiency is improved; therefore, the three-dimensional face calibrating method has an important significance in promoting practical application of the three-dimensional face to identity authentication.

Description

technical field [0001] The invention relates to the technical fields of image processing and pattern recognition, in particular to a face calibration method against posture changes in a three-dimensional face recognition direction. Background technique [0002] In today's information age, the effective identification and authentication of personal identity is a very important issue in security systems, such as airport security checks and access control supervision. Traditional identity verification methods have disadvantages such as inconvenient use and low security. As a new type of identity recognition method, biometric recognition provides a solution to the above problems because of its advantages such as security, ease of maintenance, and universality. . [0003] Biometric identification technology refers to the technology that uses the inherent physiological information and behavior of the human body as a feature to identify and verify the identity through intelligent ...

AI Technical Summary

Problems solved by technology

However, many methods are based on 3D surface curvature or 2D contours. These features are susceptible to the loss of 3D face data, so face calibration is still a problem, and there is still no good robust method to solve the above problems.

Images