Craniofacial morphological analysis and facial restoration method based on craniofacial denseness corresponding point clouds

Abstract

The invention relates to a craniofacial morphological analysis and facial restoration method based on craniofacial denseness corresponding point clouds. The method comprises the steps of 1, acquisition of skull denseness corresponding point clouds; 2, acquisition of facial denseness corresponding point clouds; 3, visual analysis of a craniofacial morphological relation; 4, expression of the craniofacial morphological relation based on soft tissue partitioning; and 5, facial restoration of an unknown body source skull. According to the method, analysis of the craniofacial morphological relation is realized by use of visual analysis based on a principal component coefficient and a quantitative expression method of least square regression, and the problems that craniofacial point cloud data size is large, principal component geometrical significance cannot be easily determined, and the craniofacial morphological relation cannot be easily expressed quantitatively are solved; the problems that the craniofacial morphological relation is complicated, and the craniofacial morphological relation is inconsistent among different regions are solved by use of a craniofacial partitioning method based on soft tissue thickness, and the accuracy of the craniofacial morphological relation is improved; finally, facial restoration of the unknown body source skull is realized by use of the craniofacial morphological relation based on partitioning.

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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