A craniofacial statistical restoration method based on geodesic

Abstract

The invention relates to a craniofacial restoration statistical model method based on geodesic, which is characterized in that the method comprises the following steps: step 1, estimating geodesic ofa face corresponding to an unknown skull based on the statistical model; step2, recovering a face model corresponding to an unknown skull by using the recovered geodesic. The method of the invention has the advantages that: using the geodesic feature points on the skull and its facial features as training objects, the corresponding feature points with intrinsic geometrical meaning are automatically established by geodesic, as use herein, because geodesic intrinsic properties and geodesic distances remain constant under isometric deformation, the accuracy of the corresponding feature points andthe accurate correspondence between the feature points are automatically established by geodesic under different expression postures, and the accurate correspondence of the feature points in craniofacial restoration and the accuracy of the craniofacial restoration result are realized, so that better restoration effect is obtained.

Description

technical field [0001] The invention belongs to the technical field of craniofacial restoration intersected by information technology and forensic medicine, and in particular relates to a geodesic-based craniofacial statistical restoration method, which is used to restore the appearance of an unknown skull. Background technique [0002] Craniofacial reconstruction, also known as craniofacial reconstruction, aims to estimate a person's facial appearance using the skull. Anthropological research shows that the skull is the intrinsic biological feature of human appearance, and its shape determines the position and structure of human facial features and facial features, so the skull features are the basis for craniofacial restoration. As early as 1895, German scholars took the lead in restoring Bach’s face based on Bach’s remains, opening up the research field of craniofacial restoration. It has been widely used in many fields. [0003] Craniofacial restoration is to seek the ...

AI Technical Summary

Problems solved by technology

At present, the existing research mainly uses all points on the cranial surface or manually calibrated feature points to restore them using methods based on soft tissue thickness or statistical models. However, due to the complex topology of the skull, the existing computer-aided craniofacial restoration Technical methods are difficult to automatically establish an accurate correspondence between the skull and the face, and the accuracy of the restoration has not yet reached the level that can be truly popularized and applied in the field of actual criminal investigation, etc. The effect of craniofacial restoration needs to be improved urgently

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