Multi-view face synthesis method based on tensor resolution and Delaunay triangulation

A technology of face synthesis and tensor decomposition, which is applied in the field of multi-view face synthesis, can solve the problems of large image differences and achieve the effects of removing interference, accurate synthesis results, and a wide range of applications

Inactive Publication Date: 2011-08-24
XIDIAN UNIV
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Problems solved by technology

[0006] Since the above two types of methods do not accurately describe the nonlinear changes of face viewing angle factors, the first method can only synthesize face images under limited viewing angles, and due to the influence of multiple training image identities, the synthesized There is a large difference between the

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  • Multi-view face synthesis method based on tensor resolution and Delaunay triangulation
  • Multi-view face synthesis method based on tensor resolution and Delaunay triangulation
  • Multi-view face synthesis method based on tensor resolution and Delaunay triangulation

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Embodiment Construction

[0031] The core idea of ​​the present invention is to use tensor decomposition and Delaunay triangulation method to synthesize multi-view human face images. Use the feature point labeling method to extract the contour information of the face image, use tensor decomposition to separate the viewing angle factors of the face data in the training samples, and interpolate the viewing angle coefficients to construct the feature points of the new viewing angle, and apply Delaunay triangulation And the linear affine transformation synthesizes the face image of the specified viewing angle according to the gray information of the known face image.

[0032] refer to figure 1 and figure 2 , the specific steps of the multi-view human face synthesis method of the present invention are as follows:

[0033] Step 1, mark the feature points of the images in the training set.

[0034] Select 180-240 face images of different identities and different perspectives with no upper limit as the tra...

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Abstract

The invention discloses a multi-view face synthesis method based on tensor resolution and Delaunay triangulation, and mainly solves the problem of difficulty in face image synthesis under continuous changing views in the prior art. The method comprises the following steps of: extracting outline information of a face image by a characteristic point labeled method; separating out a view coefficientmatrix of human face data in a training set by a tensor resolution method; fitting sample bands of the view coefficient matrix; building characteristic points of a new view by adopting a tensor resolution formula; synthesizing the face image of the new view by adopting the Delaunay triangulation and linear affine transformation according to the known face image. The method has the advantages of authentic face synthesis result, wide synthesis view ranges and low operation complexity and can be applied to the field of computer vision or face synthesis under different views in a multimedia technology.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a multi-view human face synthesis method, which can be used for the synthesis of human face images under different viewing angles in the field of image restoration and reconstruction. Background technique [0002] With the rapid development of IT technology, face-based identity authentication will become one of the most important contemporary biometric identification technologies. The face recognition test results jointly conducted by the US Defense Advanced Research Projects Agency DARPA and the US Army Research Laboratory ARL show that the face recognition rate has a strong sensitivity to attitude changes. Therefore, face synthesis technology from multiple perspectives is crucial to obtain reliable identity authentication. In addition, synthesizing face images under continuously changing perspectives is not only of great significance for face space modelin...

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Application Information

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IPC IPC(8): G06T5/50G06K9/62G06K9/46
Inventor 高新波田春娜袁博赵林李洁杨曦李英王华青
Owner XIDIAN UNIV
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