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Face Image Illumination Processing Method Based on Visual Modeling

A face image and processing method technology, applied in the field of face image lighting processing based on visual modeling, can solve the problems of unsatisfactory face recognition effect, achieve good lighting normalization effect, and improve the success rate Effect

Active Publication Date: 2017-03-08
北京清眸管理咨询有限公司
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Problems solved by technology

[0009] In order to solve the problem that the face recognition effect of the above method is not satisfactory under the condition of illumination changes, the present invention uses the maximum value filter and illumination classifier to estimate a suitable adjustment factor, and proposes an improved retinal modeling method to eliminate The influence of illumination changes in face images, thus preserving more image details while obtaining better illumination normalization effects

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  • Face Image Illumination Processing Method Based on Visual Modeling
  • Face Image Illumination Processing Method Based on Visual Modeling
  • Face Image Illumination Processing Method Based on Visual Modeling

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Embodiment Construction

[0036] Preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0037] In order to overcome the problems existing in retinal modeling using the Naka-Rushton equation and further improve the effect of illumination normalization, an improved illumination normalization algorithm based on retinal modeling is proposed: by replacing the Gaussian filter with the maximum value filter The device can estimate more accurate local illumination, and classify the image according to local illumination, and use the average brightness of different categories as the adjustment factor of illumination normalization to improve the effect of illumination normalization and help improve the face recognition system. illumination robustness.

[0038] The embodiment relates to the research on the illumination robustness of the face recognition system under complex illumination, including local illumination estimation, improvement t...

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Abstract

The invention provides a face image illumination processing method based on visual modeling. The method comprises partial illumination estimation, improving Naka-Rushton equation regulatory factors and illumination normalization algorithm based on retina modeling. A Gauss filter is replaced by a maximum value filter, so that a more accurate partial illumination can be estimated; and images are subjected to illumination classification according to the partial illumination, different types of average brightness being as illumination normalization regulatory factors, thereby improving the illumination normalization effect, helping to improve the illumination robustness of a face identification system and helping to improve the success rate of face identification.

Description

technical field [0001] The invention relates to a method for processing illumination of a face image based on visual modeling. Background technique [0002] With the development of society and the advancement of technology, human beings have urgent requirements for fast and efficient identity verification technology. Biometric features are the ideal basis for human identity verification, and facial features are currently the most ideal biometric features in identity verification. [0003] Face recognition is an important research topic in the field of pattern recognition and artificial intelligence. It has developed rapidly in recent years. It can be mainly used in many aspects such as video surveillance, document verification, and criminal investigation. Fields such as entertainment also show increasing potential application value. The performance of many face recognition systems in the experimental environment is satisfactory, but there are still many problems to be solv...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/36G06K9/00
Inventor 程勇焦良葆曹雪虹陈瑞
Owner 北京清眸管理咨询有限公司
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