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Human face light alignment method based on secondary multiple light mould

A quadratic polynomial, lighting model technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as limiting the scope of application and failing to achieve the visual effect of faces

Inactive Publication Date: 2008-12-17
SUN YAT SEN UNIV
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Problems solved by technology

But in fact, the illumination components decomposed by the LTV model still contain a lot of useful information for face recognition, and these components are not used for face recognition in the illumination processing algorithm based on the LTV model.
In addition, this method only extracts illumination invariants for face recognition, and does not achieve a real improvement in the visual effect of faces, which also limits the scope of application of this method.

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  • Human face light alignment method based on secondary multiple light mould
  • Human face light alignment method based on secondary multiple light mould
  • Human face light alignment method based on secondary multiple light mould

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Embodiment

[0038] figure 1 Shows the operation process of the present invention, by figure 1 It can be seen that the face illumination alignment method based on the quadratic polynomial illumination model includes the following steps:

[0039] (1) Perform shape normalization on all training images and target images, that is, for each image, first manually point the coordinates of three feature points (the center point of the two eyes and the center point of the mouth), and rotate it to make The two eyes of each face are in the horizontal position, and then the double interpolation algorithm is used to stretch the image, so that the three feature points are located in the fixed position of the image, and finally the image is cropped to the same size (see figure 2 ).

[0040] (2) Training coefficient matrix A i And B i , I=2,...,64. Use the frontal face in the Yale B library to train using the least squares model ②, where the illumination component L of each image is decomposed and obtaine...

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Abstract

The present invention discloses a human face illumination alignment method based on quadratic polynomial illumination model. Said method includes the following steps: (1), creating illumination model; (2), shape-normalizing all the training images and target images; (3), training coefficient matrix A; and B;, in with i=2,...., 64; (4), decomposing target human face image; (5) illumination-type estimating target human face image; (6), aligning and correcting illumination components of target human face image; and (7), reconstructing target human face image.

Description

Technical field [0001] The invention relates to a face illumination alignment method, in particular to a face illumination alignment method based on a quadratic polynomial illumination model. Background technique [0002] Face technology is widely used in public security systems, identity authentication, virtual games, etc., but the lighting problem is one of the main reasons that have plagued the practical use of this technology for a long time. The uneven illumination not only affects the visual effect, but also seriously affects the face recognition rate. In the past two decades, various light processing technologies have been proposed for use in face technology, but most of them still fail to meet practical requirements or cannot adapt to various application requirements. [0003] Terrence Chen et al. proposed a lighting processing algorithm based on the LTV model in 2006, that is, using a total variation model in the logarithmic domain to extract the reflection component of ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
Inventor 赖剑煌谢晓华郑伟诗
Owner SUN YAT SEN UNIV
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