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Method for detecting human face with weak sorter composite coefficient

A technology of weak classifiers and combination coefficients, applied in the field of face detection, can solve the problems of failure to effectively use the relationship between weak classifiers, and achieve the effect of speeding up face detection, simple processing, and fast learning process

Inactive Publication Date: 2009-11-18
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

However, the method fails to effectively utilize the relationship between weak classifiers

Method used

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  • Method for detecting human face with weak sorter composite coefficient
  • Method for detecting human face with weak sorter composite coefficient
  • Method for detecting human face with weak sorter composite coefficient

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Embodiment Construction

[0027] The embodiments of the present invention are described in detail below in conjunction with the accompanying drawings: the present embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation methods and processes are provided, but the protection scope of the present invention is not limited to the following implementations example.

[0028] Step 1, extract the face image and scale it to a specified size of 24*24, which is called a face image, and form a sample set {x 1 ,y 1},...{x n ,y n},; and collect the non-face image set {im 1 , Λim m}, and randomly sampled on the non-face image set and scaled to a specified size of 24*24, forming an initial training set with the previously acquired face image set. {x 1 ,y 1}, Λ{x N ,y N}

[0029] Step two, train the cascaded detectors. The initial cascade detector is empty.

[0030] A. Use the current training set {x 1 ,y 1}, Λ{x N ,y N}, according to the c...

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Abstract

The present invention belongs to the field of image processing technology, and relates to a human face detection method with combination coefficient of weak classifier. Said method includes the following steps: first step: extracting characteristics of human face image, calling it human face image characteristic vector and forming sample set; second step; utilizing sample set to construct cascade detector; for every node of cascade detector adopting lifting method to select weak classifier based on characteristics and construct integrated classifier; for integrated classifier utilizing combination coefficient to further raise classification efficiency; and third step: finally, utilizing above-mentioned cascade detector to implement automatic human face detection.

Description

technical field [0001] The invention relates to a face detection method in the technical field of image processing, in particular to a face detection method with a combination coefficient of a weak classifier. Background technique [0002] Face detection is the basic technology for human-computer interaction based on images, and it is a prerequisite for face recognition, expression detection, and age estimation. Therefore, how to quickly and effectively perform face detection is a key technology for various face-based applications. As a complex non-rigid object, the human face determines that its detection process is non-trivial. [0003] Through literature search to the prior art, it is found that among more than 150 kinds of face detection methods in total, the most popular and widely used one is Viola and Jones' 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Computer Vision and Pattern Recognition). The cascaded face detection method p...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/117G06K9/62A61B5/1171
Inventor 郭佳骋吕宝粮
Owner SHANGHAI JIAO TONG UNIV
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