Skin color layering-based human face detection method

A technology of face detection and skin color, applied in the field of face recognition, can solve problems such as difficulties, and achieve the effect of wide application

Inactive Publication Date: 2017-03-08
SHANGHAI DIANJI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although human beings can easily detect and identify a person from the face when there are great changes in expression,

Method used

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  • Skin color layering-based human face detection method
  • Skin color layering-based human face detection method
  • Skin color layering-based human face detection method

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Embodiment Construction

[0049] Below in conjunction with specific embodiment, further illustrate the present invention. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the content taught by the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0050] 1. Color space

[0051] Before introducing the algorithm, several color spaces are briefly introduced. A color space is a model that uses numbers to represent color attributes. No color system is universal, because colors can be expressed in different models and methods. Each color space has its own color properties. When considering the problem of color quantization, the first problem that needs to be solved is ...

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Abstract

The invention provides a skin color layering-based human face detection method. The method comprises the steps of firstly building a human face skin color model according to a human face candidate region; secondly performing skin color region segmentation by utilizing the human face skin color model, approximately describing a human face shape by using an ellipse, and processing an elliptic region not in the range as a non-human face region; thirdly further removing the non-human face region according to texture complexity; fourthly rotating the human face candidate region to perform directional normalization; and finally performing connected domain analysis by adopting a human face template. According to the method, an image is preprocessed by utilizing human face skin color characteristics, so that the human face search range is greatly reduced; in addition, the calculation complexity of the human face skin color characteristics is low, and the method is very robust for geometric changes such as human face rotation, zooming and the like, so that the human face detection using the human face skin color characteristics is very useful; and the method provided by the invention is quick, accurate, good in robustness and relatively wide in application range, and can be applied to the aspects of image identification, voice identification, data mining, machine vision and the like.

Description

technical field [0001] The invention relates to a face detection method, in particular to a face detection method based on skin color layering, and belongs to the technical field of face recognition. Background technique [0002] Face detection is the first step in an automatic face recognition system. For a given static image or video image sequence, it is detected whether there is a human face in it. If so, it is segmented from the background and its position in the image is determined. position and size. In some occasions, the conditions for taking images can be controlled. For example, when the police take pictures of criminals, they are asked to bring a certain part of the face close to the scale. At this time, the positioning of the face is very simple. In other cases, the position of the face in the image is unknown in advance, such as photos taken in some complex backgrounds. At this time, the detection of the face will be affected by the following factors: (1) The ...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/162
Inventor 胡静
Owner SHANGHAI DIANJI UNIV
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