3D face identification method under local shielding conditions based on radial lines

Abstract

The invention discloses a 3D face identification method under local shielding conditions based on radial lines. The method comprises steps that (1), the radial lines emitted from a nose tip point areextracted, and the part of the radial lines above the nose tip point is uniformly sampled; (2), local areas among sampling points are extracted, and a local characteristic descriptor is further constructed; (3), a cost function of the characteristic descriptor is constructed, and similarity vectors having local matching characteristics and corresponding to the radial lines is generated; (4) the similarity vectors corresponding to the radial lines are matched to acquire similarity values, sum of the similarity values of all the radial lines is a similarity value of two 3D faces, so face identification is accomplished. The method is advantaged in that through intercepting and sampling the radial lines, the local areas among the sampling points are extracted, the local characteristics are further extracted, the effective information of the radial lines is enhanced, and thereby accuracy of 3D face identification under the local shielding conditions is improved.

Description

technical field

[0001] The invention belongs to the field of computer vision, and specifically relates to a three-dimensional face recognition technology, in particular to a three-dimensional face recognition method under partial occlusion based on radial lines. Background technique

[0002] Face recognition technology has excellent non-contact, concealment and wide application prospects. In the past 30 years, many researchers have devoted themselves to the research of face recognition. Although there have been a lot of research on two-dimensional face recognition before, it is still unable to overcome the influence of illumination and posture. Therefore, people are gradually realizing the congenital defects of two-dimensional face recognition. In 3D faces, geometric information and relative position information are relatively stable, so compared to traditional 2D face recognition, 3D face recognition is more robust to illumination, posture and expression. Therefore, in re...

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