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Multi-angle mutual transformation method for facial image

A face image and mutual conversion technology, applied in image enhancement, image data processing, instruments, etc., can solve the problems of large amount of calculation, complex algorithm, unsatisfactory effect, etc., and achieve the effect of fast calculation speed and simple algorithm

Inactive Publication Date: 2013-02-13
CHANGAN UNIV
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Problems solved by technology

[0007] The purpose of the present invention is to provide a simple and fast multi-angle mutual conversion method of face images, which can overcome the problems of complex algorithms, large amount of calculation and unsatisfactory results in existing similar methods

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  • Multi-angle mutual transformation method for facial image

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Embodiment Construction

[0027] The present invention will be further described below in conjunction with accompanying drawing.

[0028] The present invention specifically adopts the following steps to realize:

[0029] Step 1: Represent the input single-frame face image at a certain angle and the face images in the training set at various angles as column vectors of gray values ​​of all pixels. Then set the input face image at a certain angle as I O , O is the angle of the input face, the same angle (O) training set face image Include M images: Set the face image of the training set at the target angle (P) Include M images: M=100~200, the target angle face image to be synthesized is IP, and P can be multiple angles or postures;

[0030] For the conversion between the matrix form and the column vector form of the gray value of all pixels in the face image figure 1 :

[0031] Step 2: Input face image I O , the training set of face images The weight is calculated using the following formu...

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Abstract

The invention provides a multi-angle mutual transformation method for a facial image. The method comprises the following steps of: representing the facial image in a column vector form of the gray level of pixels; transforming a problem into a problem that the weight of a point adjacent to a certain point in a high dimensional space in a local neighborhood embedding nonlinear dimension reduction theory is needed to be solved by taking a single-frame input facial image at a certain angle as one point in the high dimensional space and a training set facial image at the same angle as the point adjacent to the point; synthesizing the facial image at the target angle by using the solved weight and a training set facial image at the target angle; and representing the synthesized facial image at the target angle in the matrix form of the gray level of pixels. According to the multi-angle mutual transformation method for the facial image, an algorithm is simple; and the calculation speed and the synthesis effect of hair and facial edges are obviously superior to those of the prior art.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, and in particular relates to a multi-angle mutual conversion method of human face images. Background technique [0002] Multi-angle mutual conversion of face images refers to converting an input face image of a certain angle into a corresponding face image of other angles (target angle). At present, only a few transformation methods have been proposed at home and abroad. [0003] In 2004, Li of Tsinghua University proposed a method based on Garbor wavelet transform (Document 1: Y.Li and X.Y.Lin, "Face hallucination with pose variation" in Pro.6th IEEE Int.Conf.Automatic Face and Gesture Recognition, 2004, pp. 723–728); [0004] From 2005 to 2008, Jia at Queen Mary University of London proposed a method based on tensor decomposition (Document 2: K.Jia and S.G.Gong, "Multi-modal tensor face for simultaneous super-resolution and recognition," in Proc.IEEE Int .Conf.Computer Visio...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 马祥李文敏宋焕生
Owner CHANGAN UNIV
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