Remains 3D reconstruction method based on frontal image

Abstract

A remains 3D reconstruction method based on a frontal image is characterized by a single picture 3D face reconstruction technology based on a statistical model. The method comprises creating a 3D facestatistical model based on a 3D face database in advance, and training a 2D face feature point parameter model by using a SDM algorithm based on a 2D face database. During the face reconstruction based on a single frontal image, the face feature points are extracted first by using a two-dimensional image feature point parameter model; then, an energy function is subjected to iterative optimization by an learning factor adaptive gradient descent method based on the three-dimensional face statistics model to obtain the parameterized vector of the statistical model, that is, the three-dimensional face model corresponding to the two-dimensional face image is obtained. Results show that the face reconstructed by the method has high similarity.

Description

technical field

[0001] The face reconstruction technology based on the frontal image of the present invention adopts the method of combining the statistical model and parameter optimization based on the 3D face scanning database, and automatically generates a three-dimensional face model that can be directly used for 3D printing, and is mainly used in the face of the remains repair. Background technique

[0002] Remains plastic surgery technology: Remains plastic surgery and farewell are important links in the funeral process that embody the basic concept of people-oriented and express the development of human spiritual civilization, and are mainly completed by remains plastic surgeons. Due to the uniqueness and uniqueness of the human face, the traditional restoration of remains is manually shaped, requiring coloring and makeup based on sculpture. The materials are mainly plasticine, gypsum, oil mud, etc. The cosmetic effect depends on the personal technical ability of the ...

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