Face detection method in complex environment based on visual saliency

A face detection and complex environment technology, applied in the field of face detection in complex environments, can solve the problems of unconstrained face detection, such as unsatisfactory results, and achieve the effects of removing image background interference, reducing computational complexity, and shortening running time

Active Publication Date: 2018-12-14
广州棋云信息科技有限公司
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Problems solved by technology

[0008] The purpose of the present invention is to provide a complex environment face detection method based on visual saliency to solve the problem in the prior art that the face detection suitable for a single environment is unsatisfactory for unconstrained face detection in a complex environment

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  • Face detection method in complex environment based on visual saliency
  • Face detection method in complex environment based on visual saliency
  • Face detection method in complex environment based on visual saliency

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Embodiment

[0039] A complex environment face detection method based on visual saliency, the implementation framework is as follows figure 1 shown. First, use the visual attention mechanism to obtain the face saliency map; then segment the saliency map to obtain the binary template; use the morphological operator to adjust the binary template to cover the entire face area; finally match the template with the original image to detect the face target area.

[0040] The specific implementation process of this complex environment face detection method based on visual saliency is as follows: figure 2 shown. The steps are described as follows:

[0041] S1. The input image is a 250×250 grayscale image I(x, y), and the saliency map of the target face area is extracted using the visual saliency map algorithm, which is denoted as S(x, y).

[0042] S2. Use the bicubic interpolation algorithm to adjust the size of the S(x,y) image to the original image size of 250×250, divide each pixel in S(x,y...

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Abstract

The invention provides a face detection method based on visual saliency in a complex environment. Firstly, a visual attention mechanism is used to obtain a saliency map of a human face; then the saliency map is divided to obtain a binary template; Face area; finally, the template is matched with the original image to detect the target area of ​​the face; this kind of face detection method based on visual saliency in complex environments uses the visual attention mechanism to obtain the saliency map of the face, and accurately locates the effective person according to the saliency map. The face target area eliminates the influence of lighting, posture, occlusion and other factors in complex environments, and achieves the purpose of automatically and accurately detecting unconstrained face target areas without manual intervention.

Description

technical field [0001] The invention relates to a face detection method in a complex environment based on visual saliency. Background technique [0002] Face detection is a key technology in unconstrained face recognition. Accurate detection of face regions in complex backgrounds is crucial for subsequent face recognition work. On the one hand, it can reduce the computational complexity of subsequent work, on the other hand, it can also remove background interference and improve the accuracy of facial features. [0003] At present, the commonly used face detection algorithms mainly include face detection algorithms based on template matching and face detection algorithms based on skin color. The face detection algorithm based on template matching summarizes a unified face template based on the prior data, and then manually selects the position of the human eyes to obtain the distance between the eyes, and uses the face template to detect the face area according to the dista...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V40/162G06V40/172
Inventor 童莹陈凡曹雪虹
Owner 广州棋云信息科技有限公司
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