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Canonical correlation analysis-based skull identity authentication method

A typical correlation analysis, identity authentication technology, applied in the field of computer applications

Inactive Publication Date: 2013-09-18
BEIJING NORMAL UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These two technologies essentially use the essential relationship between the skull and the facial shape to achieve identity authentication, but how to accurately extract and represent this complex essential relationship is still a difficult problem for scientists.

Method used

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  • Canonical correlation analysis-based skull identity authentication method
  • Canonical correlation analysis-based skull identity authentication method
  • Canonical correlation analysis-based skull identity authentication method

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Embodiment Construction

[0021] In order to introduce the technical solution of the present invention more clearly, a cranial identity authentication method based on canonical correlation analysis described in the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0022] The 3D skull and face data used in this embodiment are 3D mesh data reconstructed from head CT image data.

[0023] Such as figure 1 As shown, the main steps of the skull identity authentication method based on canonical correlation analysis of the present invention include:

[0024] Step S101, model training.

[0025] Contains the following sub-steps:

[0026] Step S1011, data normalization.

[0027] Select a reference skull and reference skin data, manually remove the parts of the reference skull and reference skin that do not belong to the face, and perform non-rigid 3D data registration on the skull and skin in the training sample set, respectively, to obtain the same nu...

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Abstract

The invention discloses a method for searching a human face corresponding to an unknown skull from a three-dimensional human face model library based on canonical correlation analysis. The method comprises the following steps: respectively processing skulls and human faces in a training sample set to obtain normalized training sample data; respectively performing subspace analysis on the overall skull, the overall human facial skin, and corresponding regions of forehead, eyes, nose and mouth to obtain ten corresponding subspaces; establishing correlation analysis models of the subspace characteristics of the skull and the human face by utilizing the canonical correlation analysis, wherein the correlation analysis models comprise the correlation analysis models of the whole body and the four subspaces; and realizing human face identification of the unknown skull by model fusion. By the method, the identification rate can reach 100 percent; and the method has an important application value in the fields of criminal investigation, disaster investigation and the like.

Description

technical field [0001] The present invention relates to the field of computer application technology, in particular to a method for finding faces corresponding to unknown skulls from a three-dimensional face database by utilizing the correlation between skulls and three-dimensional facial shapes. It is mainly used in criminal investigation, disaster investigation, forensic anthropology and other fields. Background technique [0002] Identification based on human skeletal morphology is one of the most important research contents in forensic anthropology. The skull is composed of hard tissue, which is not easy to be destroyed compared with other bones, and can survive relatively intact after death. In many cases, only the skull of the victim remains at the scene of the criminal investigation, and there are no other clues about the origin of the victim, which makes classic testing techniques such as DNA useless, and the skull can only be used for identification of the origin o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 段福庆杨焱超武仲科周明全
Owner BEIJING NORMAL UNIVERSITY
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