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Human image optimization method capable of automatically detecting mask in human face key areas

A key area, automatic detection technology, applied in the field of image processing, can solve the problems of low efficiency and insufficient accuracy of portrait optimization technology, and achieve high accuracy and high efficiency

Active Publication Date: 2015-07-22
ZHEJIANG UNIV
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Problems solved by technology

[0007] The purpose of the present invention is to provide a portrait optimization method for automatically detecting masks in key areas of the face to solve the problems of low efficiency and insufficient accuracy of the existing portrait optimization technology

Method used

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  • Human image optimization method capable of automatically detecting mask in human face key areas
  • Human image optimization method capable of automatically detecting mask in human face key areas
  • Human image optimization method capable of automatically detecting mask in human face key areas

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Embodiment Construction

[0039] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0040] Such as figure 1 Shown, the portrait optimization method of a kind of human face key region automatic detection mask of the present invention, comprises the following steps:

[0041] (1) Read in the portrait color image, use the integral map to accelerate the Haar feature of the color image, and then use the AdaBoost algorithm to train a strong classifier for distinguishing between human faces and non-human faces, and detect the face area through the strong classifier;

[0042] (2) Detect the vital organ area of ​​the face in the face area detected in step 1, the important organ area of ​​the face includes the eyebrows, eyes, nose and mouth position, and the vital organ area of ​​the face detected is used as mask; specifically includes the following sub-steps:

[0043] (2.1) Convert the color image read in in step 1 into a gr...

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Abstract

The invention discloses a human image optimization method capable of automatically detecting mask in human face key areas. The human image optimization method mainly includes two steps of human face detection and image smoothing, wherein the step of human face detection includes: using an adaboost algorithm, haar features and a cascade detector to detect a human face area, adopting a three-part five-hole rule to roughly divide a human face into several areas, judging positions of organs of the human face according to a binarization result of a picture, haar features and integral projection, and taking the organs which are detected as mask; using a principle of double-index edge smoothness maintaining filtering to perform image smoothing on a skin portion of the human face, and using the mask to cover the picture after being smoothed. The human image optimization method has high adaptive ability and reliability and is more accurate in organ detection and edge smoothness maintaining of the human face.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a portrait optimization method for automatically detecting a mask in a key region of a human face. Background technique [0002] With the widespread use of computers, more companies will choose to use e-commerce to expand their business. In order to better promote their products, companies usually package and promote their products, such as investing in the advertising industry and product promotion on the Internet. Therefore, the most intuitive way of publicity is to take promotional photos for the product. In order to attract more customers, photos are generally beautified. For this requirement, there are mainly the following methods: [0003] The first way is to hire a number of relevant personnel to manually process each photo. Because thousands of photos need to be screened, processed and beautified every day, this method requires relevant personnel to reach a c...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 王进鲁晓卉方力洋陆国栋陈晓威
Owner ZHEJIANG UNIV
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