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Zonal statistic model based facial reconstruction method

A technology of partition statistics and models, applied in computing, 3D modeling, image data processing, etc., and can solve problems such as small sample problems

Active Publication Date: 2012-12-19
NORTHWEST UNIV
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Aiming at the shortcomings or deficiencies of the prior art, the purpose of the present invention is to propose a new partition-based The craniofacial restoration method of the statistical model solves the small sample problem encountered in the traditional statistical model craniofacial restoration method, and reduces the error of the craniofacial restoration results to a greater extent

Method used

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  • Zonal statistic model based facial reconstruction method
  • Zonal statistic model based facial reconstruction method
  • Zonal statistic model based facial reconstruction method

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Experimental program
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Embodiment 1

[0076] Example 1: This embodiment is carried out through the following steps:

[0077] Step 1, the establishment of a three-dimensional skull and skin partition statistical model:

[0078] (1) Data preprocessing:

[0079] In order to apply statistical methods to the research work of skull facial restoration, it is necessary to carry out a series of preprocessing work on the collected raw data, and the quality of the results directly affects the effect of the subsequent steps.

[0080] (1.1) Reconstruction of a single-layer 3D skull and skin model without impurities:

[0081] The original data used in this embodiment are all collected by a spiral CT (Computer Tomography) machine. The CT machine scans the human head every 1.5 mm, and finally obtains about 200-300 CT images according to the size of each person's head. Image, the CT machine saves these images into DICOM (Digital Imaging and Communication in Medicine) format files that can be recognized by the computer;

[008...

Embodiment 2

[0150] Example 2: In this embodiment, based on the zonal statistical model established in step 1 in embodiment 1, skin restoration is performed on another skull to be restored, and the skin restoration process is the same as that of the unknown skull described in step 2 in embodiment 1.

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Abstract

The invention belongs to the field of computer image processing, and particularly relates to a zonal statistic model based a facial reconstruction method. In the method, by a priori knowledge of calculating human facial model shapes, the skull to be reconstructed is subjected to face skin reconstruction, which means that: partitioning the skull and the face skin model according to different organs, and establishing a zone based statistic model; and respectively reconstructing each face skin zone of the skull zone, and splicing each face skin zone into a facial integral model. After the skull face skin is partitioned, the representation capability of the statistic model is improved, and the error of the reconstruction result is reduced. The zonal statistic model based facial reconstructionmethod has important application value in archaeology, forensic medicine, virtual surgery and other fields.

Description

technical field [0001] The invention belongs to the technical field of computer image processing, and in particular relates to a craniofacial restoration method based on a partition statistical model. Background technique [0002] The computer-aided craniofacial reconstruction method based on statistical model is a new craniofacial reconstruction method that appeared in 2005. The process is to establish the joint statistical model of the skull and the skin to obtain the eigenvectors and eigenvalues ​​of the skull and the skin in the high-dimensional space. The eigenvectors control the deformation trend of the model, and the eigenvalues ​​control the deformation range. Then, according to The shape of the skull to be restored and the statistical model are jointly solved to restore the corresponding skin of the skull to be restored. The characteristics of this method are: instead of using a few feature points to replace craniofacial features, all vertices are involved in the r...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/50G06T17/00
Inventor 周明全冯筠耿国华张彦飞李康
Owner NORTHWEST UNIV
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