A Craniofacial Morphology Analysis and Facial Restoration Method Based on Craniofacial Dense Corresponding Point Cloud

Abstract

The present invention relates to a craniofacial morphology analysis and face restoration method based on craniofacial dense corresponding point cloud, which comprises the following steps: 1. The dense corresponding point cloud of skull; 2. The corresponding point cloud of dense facial appearance; Representation of craniofacial morphological relationship based on soft tissue partition; 5 facial restoration of unknown source skull. The present invention utilizes the visual analysis based on the principal component coefficient and the quantitative expression method of the least squares regression to realize the analysis of the craniofacial shape relationship, and solve the problems of large amount of craniofacial point cloud data, difficulty in determining the geometric meaning of the principal component, and the problem of craniofacial shape. The relationship is not easy to quantify the problem. Using the craniofacial partition method based on soft tissue thickness, it overcomes the problems of complex craniofacial morphological relationships and inconsistent craniofacial morphological relationships between different regions, and improves the accuracy of craniofacial morphological relationships. Finally, using the craniofacial morphological relationship based on the partition, the face restoration of the skull of unknown body origin was realized.

Description

technical field [0001] The invention relates to a craniofacial shape analysis and face restoration method based on craniofacial dense corresponding point clouds, and belongs to the technical fields of computer graphics, digital geometry processing and anthropometry. Background technique [0002] The geometry of the human head and face is complex, and the shape of the skull determines the basic shape of the face. There is a correlation between the skull and the shape of the face. The study of the relationship has become a hot spot in the field of forensic anthropology. Traditional research methods mostly focus on soft tissue thickness measurement and statistical analysis of craniofacial measurement indicators for cadaver sources. However, this method has the limitations of limited samples of research objects and a small number of measurement indicators. With the development of medical imaging equipment, CT, MRI and other imaging equipment have been widely used in data collect...

AI Technical Summary

Problems solved by technology

Through the combination of visual and quantitative analysis, solve the problem that the geometric meaning of craniofacial shape relationship based on principal component analysis is difficult to explain

Through the linear learning method of craniofacial morphological relationship based on soft tissue partition, it solves the problem that the complex craniofacial morphological relationship is difficult to accurately represent, and improves the accuracy of facial reconstruction without body source

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