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Method for automatically segmenting face in digital photo

An automatic segmentation and face technology, applied in image analysis, image data processing, instruments, etc., can solve problems such as complex faces, and achieve the effect of improving system robustness, stable detection, and accurate automatic face segmentation.

Inactive Publication Date: 2011-11-23
SOUTHWEST JIAOTONG UNIV
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AI Technical Summary

Problems solved by technology

[0005] In summary, due to the complexity and variability of human faces, it is still a huge challenge to achieve automatic and accurate face segmentation

Method used

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  • Method for automatically segmenting face in digital photo
  • Method for automatically segmenting face in digital photo
  • Method for automatically segmenting face in digital photo

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Experimental program
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Embodiment approach

[0026] 1. Face detection: Adaboost algorithm is used to realize the initial positioning of the face area, and the face area is marked with a rectangular frame, or the entire photo can be regarded as a face area.

[0027] 2. Contour initial positioning: An improved algorithm based on the single Gaussian model SGM is used to detect the face skin area, and an ellipse is used to fit this part of the area as the initial contour line in the next step. The specific implementation steps are as follows:

[0028] Skin tones are fairly concentrated in color space and are affected by lighting and race. In order to reduce the influence of skin color by illumination intensity, the present invention converts the color from RGB space to YCbCr color space, then abandons the brightness component Y, and only uses Cb and Cr components as information for skin color training and classification, which overcomes the influence of light to a certain extent , the mixed Gaussian model GMM used in the ne...

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Abstract

The invention discloses a method for automatically segmenting a face in a digital photo. The method comprises the following steps of: (1) in order to avoid local optimization, combining an edge tension and skin color information with global energy, and designing a geometric active contour model based on unified energy functional; (2) designing an improvement method based on a single Gaussian model, so that an initial position approximate to actual face outer contour is estimated; (3) according to the neighborhood information of an evolved curve, endowing the outward tension of edge points, sothe curve can overcome the interference of facial features and facial decorations and can be guided to be evolved to the direction of the outer contour; and (4) as skin color is the most important facial feature, designing the skin color energy and further improving the robustness of the single Gaussian model. By the method, the interference of factors such as attitude, illumination and complicated background can be overcome; an accurate segmentation effect is obtained; and the method can be widely applied to face image pre-processing such as face identification, games and automatic focusing of digital cameras.

Description

technical field [0001] The invention relates to the fields of computer vision, digital image processing, pattern recognition and the like, in particular to a technical method for automatically realizing the contour positioning and face segmentation of a human face in an image. technical background [0002] To realize the automatic segmentation of human face in the image, it is necessary to accurately locate the outer contour of the human face. The face contour is a geometric figure connected by some edge points of the face image, which is used to represent the shape of the face in the image. As an important part of face features, face contour extraction is not only an important prerequisite for face image analysis such as face feature detection, face recognition and face 3D reconstruction, but also an important prerequisite for many other digital image processing software and artistic image processing. Foundation. [0003] Traditional face segmentation methods usually use ...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06K9/00
Inventor 龚勋李天瑞李昕昕
Owner SOUTHWEST JIAOTONG UNIV
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