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Three-dimensional head model reconstruction method

A head model and three-dimensional technology, which is applied in the field of three-dimensional head model reconstruction, can solve the problems of poor face adaptability, affect facial shape, and high computational complexity, and achieve the effects of strong realism, guaranteed accuracy, and low computational complexity.

Active Publication Date: 2012-09-12
TSINGHUA UNIV
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Problems solved by technology

Disadvantages: The entire processing process is very complicated, and it takes several hours for professionals to complete the compensation of missing points in 3D data and the removal of flying points
Disadvantages: The inevitable feature point matching error often makes the result of stereo reconstruction very noisy
Disadvantages: This process is easy to get stuck in local extremum, it takes a long time to reconstruct a 3D face, and the computational complexity is high
Disadvantages: The traditional method of realizing 3D face reconstruction based on the deformation standard 3D face model only considers facial reconstruction without modeling hairstyle
Some hair modeling is also the result of using the standard 3D head model with hair shape. The disadvantage of this is that the distribution of feature points on the hair will affect the shape of the face. In addition, 3D modeling based on side images The positioning of the profile of the side bald head is not accurate during face reconstruction, and the adaptability to the pose of the face in the side input image is poor

Method used

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Embodiment Construction

[0031] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0032] figure 1 is a flow chart of the three-dimensional head model reconstruction method of the present invention, as figure 1 Shown, the present invention comprises the following steps:

[0033] S1: Input the front and side images of the face;

[0034] S11: Use the Adaboost detector to detect and classify frontal face images and side face images:

[0035] The purpose of face detection is to automatically detect the position of the face in the input image. The present invention utilizes Adaboost to train the face detector respectively to the frontal face image and the side face image to automatically detect the frontal and side face areas. Adaboost is a more commonly ...

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Abstract

The invention discloses a three-dimensional head model reconstruction method. The method comprises the following steps of: S1: inputting a front image and a side image of a human face; S2: extracting feature points of face and hair regions in the image; S3: generating a three-dimensional head model according to the deformation of the facial feature points; S4: generating seamless overall head textures according to the image; S5: mapping all textures to the deformed three-dimensional head model; S6: fitting the hair region by using a coons surface according to the feature points of the hair region; and S7: performing coons surface deformation and texture mapping. The method is simple and practical, has low computation complexity and can actually reconstruct the three-dimensional head model on the premise of high precision.

Description

technical field [0001] The invention relates to the fields of graphic image processing and computer vision, in particular to a three-dimensional head model reconstruction method. Background technique [0002] 3D head reconstruction is widely used in many fields, including public security, virtual reality, digital film and television, and daily life. Compared with two-dimensional images, three-dimensional face data can provide accurate face description. There are four categories of 3D face acquisition methods: [0003] (1) Obtain the 3D face shape by a 3D scanner. Three-dimensional scanners can accurately extract three-dimensional data, and the accuracy of some scanners can reach 0.5mm. However, there are usually missing points and flying points in the scanning results, that is, blocked points and scanned noise points. The removal of these points requires specific 3D data editing software. Disadvantages: The entire processing process is very complicated, and it takes sev...

Claims

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Application Information

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IPC IPC(8): G06T17/00
Inventor 林源王生进桂良琰丁晓青
Owner TSINGHUA UNIV
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