Craniofacial reconstructing method based on hierarchical regression model

A regression model and hierarchical technology, applied in the field of forensic anthropology, can solve problems such as difficulty in reflecting the decisive role of cranial face skin reconstruction, lack of data for craniofacial samples, easy to fall into local extremely small areas, etc. The effect of high reconstruction accuracy and precise reconstruction

Active Publication Date: 2013-01-02
BEIJING NORMAL UNIVERSITY
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Problems solved by technology

The above-mentioned existing methods are essentially aimed at solving the pathological problem of missing data for craniofacial samples with only a small part of data. The disadvantage is...

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  • Craniofacial reconstructing method based on hierarchical regression model
  • Craniofacial reconstructing method based on hierarchical regression model
  • Craniofacial reconstructing method based on hierarchical regression model

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[0026] The specific implementation of the craniofacial reconstruction method based on the hierarchical regression model of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0027] Such as figure 1 As shown, the main steps of the craniofacial reconstruction method based on the hierarchical regression model of the present invention include:

[0028] 1) Model training:

[0029] 1.1) Data processing: Perform non-rigid 3D data registration on the skull and skin in the training sample set, and normalize the posture and size of the skull and skin, and obtain 3D skulls with the same number of vertices, the same semantics, and the same connection relationship Grid model sample set and skin 3D mesh model sample set, and then from the 3D mesh model of each skin, the 3D mesh models of eyes, nose and mouth are divided, and finally each skull, skin, The 3D mesh models of the eyes, nose, and mouth are normalized into a high-dim...

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Abstract

The invention discloses a method for realizing face skin reconstruction of an unknown skull based on a hierarchical regression model. The method comprises the following steps: respectively treating skulls and face skins in a training sample set, thereby obtaining normalized training sample data; analyzing sub-spaces, thereby obtaining five sub-spaces, namely the skull, face skin, eyes, nose and mouth; respectively establishing regression models of the features of the sub-spaces of the face skin, eyes, nose and mouth to the feature of the sub-space of the skull; reconstructing the whole body of the face skin of the unknown skull and a three-dimensional gridding model of the eyes, nose and mouth according to the regression models; and lastly, reconstructing the face skin by fusing the whole body of the face skin with the three-dimensional gridding model of the eyes, nose and mouth. According to the method, the accurate reconstruction for the basic shape and the whole structure of the face is realized and the local feature areas of the five sense organs also can be finely reconstructed. The method has important application value and practical value in the fields of criminal investigation, archaeology, forensic anthropology, medical operation, cosmetology, and the like.

Description

technical field [0001] The invention relates to a method for facial skin reconstruction, in particular to a method for craniofacial reconstruction based on a hierarchical regression model, and belongs to the technical field of forensic anthropology. Background technique [0002] The skull is the intrinsic biological feature of the human face, and facial reconstruction based on the shape of the skull is a typical application project in the field of forensic anthropology. The traditional manual method is to obtain the thickness law of the soft tissue of the face by means of anatomical measurement and acupuncture measurement on the basis of the undetermined skull. It is sculpted by an artist, which requires the cooperation of anthropologists, artists and doctors. Most of them rely on the reconstructor's personal grasp of craniofacial features and art, so the results of facial reconstruction are greatly affected by subjective factors, which do not have the value of scientific pr...

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Application Information

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IPC IPC(8): G06T17/30
Inventor 段福庆武仲科周明全
Owner BEIJING NORMAL UNIVERSITY
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