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Symmetry analysis method for three-dimensional face model

A face model and analysis method technology, applied in image analysis, image data processing, instruments, etc., can solve the problems of face model asymmetry and affect processing, so as to facilitate further processing, improve effectiveness, and increase the maximum number of Effect

Active Publication Date: 2017-09-08
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] The purpose of the present invention is to propose a symmetry analysis method for a three-dimensional face model for the problem that the face model collected by the depth camera Kinect and reconstructed by KinectFusion has a slight asymmetry and affects further processing

Method used

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  • Symmetry analysis method for three-dimensional face model

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Embodiment 1

[0128] Embodiment 1. The inventors tested the effectiveness of the relaxation factor in the feature-grid matching process proposed by the present invention. figure 2 and image 3 It shows the case of using unity ∈ as the threshold. The left symmetry plane can be clearly seen to be biased to the right (from the observer's perspective) from the nose to the mouth. The matching error of the entire model is relatively large, and the matching of point pairs The hair part is missing again. Figure 4 and Figure 5 It shows the case of using ∈ with a relaxation operation as the threshold, the symmetry plane can bisect the entire face well, the matching error of the whole model is small, and the matching of point pairs is complete, except that some parts of the hair exceed the maximum error threshold Most of the points can be correctly stored except that they are not matched.

Embodiment 2

[0129] Embodiment 2. The inventor tested the effectiveness of the new method in the feature extraction process proposed by the present invention. If using the original n i ×n j To calculate the initial rotation axis, the distribution of Euler angles is obviously too scattered, and since the displacement vector is calculated through Euler angles, its distribution will also be too scattered, which is not conducive to the next clustering. After the improved algorithm, the distribution of Euler angles has three obvious concentration areas. At the same time, the displacement vectors can also be well centered.

Embodiment 3

[0130] Embodiment 3. The inventor tested the effect of the method flow of the present invention on 10 three-dimensional human face models. Experimental results show that the method of the present invention can correctly and efficiently analyze the symmetry of the face model.

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Abstract

The present invention discloses a symmetry analysis method for a three-dimensional face model. The method comprises: sampling an input face model, and pairing sampling results so as to obtain symmetrical features; and extracting and clustering the obtained symmetrical features, so as to obtain a symmetry relation of the model. According to the method, a PCA constraint is added during feature extraction, which effectively increase the maximum number of initial sampling points when computing resources are limited; by improving the extraction method for the symmetrical feature, the validity of the clustering result is enhanced; and by adding a relaxation factor during feature-grid reassignment, stability of results is ensured and the matching is extended to the whole model. A test is performed on a face model that is acquired at Kinect and reconstructed using KinectFusion, and the validity of the method is verified.

Description

technical field [0001] The invention relates to the field of three-dimensional model processing, in particular to a symmetry analysis method for a three-dimensional human face model. Background technique [0002] Many creatures and objects in nature have certain symmetries. These symmetries include rotational symmetry, mirror symmetry, and fractals. Absolute symmetry is very rare, but when certain prerequisites are met, we can effectively use symmetry to improve the modeling of real-world objects. Among them, the human face is a common research object that satisfies mirror symmetry. In recent years, with the emergence of household depth cameras such as Kinect and research in related fields, people can quickly and efficiently collect and build a large number of face models. However, there is also a slight asymmetry in the face itself, and some errors will be introduced by the acquisition equipment and modeling algorithm. In some studies, however, it is necessary to reduce...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/68
CPCG06T7/68G06T2207/10028G06T2207/30201
Inventor 任重周顺邵天甲周昆
Owner ZHEJIANG UNIV
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