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A method and device for face detection based on deep learning

A technology of face detection and deep learning, which is applied in the field of face detection based on deep learning, can solve problems such as the inability to determine the number of faces, and achieve the effect of accurate calculation

Active Publication Date: 2019-12-06
北京深图智服技术有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

When the image contains multiple faces, it is impossible to determine the number of faces contained in the image

Method used

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  • A method and device for face detection based on deep learning
  • A method and device for face detection based on deep learning
  • A method and device for face detection based on deep learning

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Embodiment Construction

[0051]In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is a part of embodiments of the present invention, but not all embodiments. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making ...

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Abstract

The present invention provides a face detection method and device based on deep learning. The method includes: acquiring an external image including at least one human face image; performing scaling processing on the external image to obtain a first external image; using the first The convolution operator performs convolution processing on the first external image to obtain a second external image, and each pixel in the second external image corresponds to a first predetermined dimension vector; in the second external image, Set the first threshold number of positioning frames for each pixel to obtain the first number of positioning frames; use the second convolution operator to process the first predetermined dimension vector of each pixel to obtain the second number of positioning frames; use all The connection layer processes the second predetermined dimension vector of the pixels corresponding to the second number of positioning frames to obtain the face image. The invention also discloses a corresponding human face detection device.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a face detection method and device based on deep learning. Background technique [0002] At present, with the development of pattern recognition and image processing technology, more and more attention has been paid to face recognition technology based on multi-feature fusion, which is mainly used in identification systems, such as attendance systems, bank self-service systems, public security systems, etc. Realize the rapid identification of personnel. When the image includes multiple human faces, it is impossible to determine the number of human faces contained in the image. Contents of the invention [0003] In view of this, the object of the present invention is to provide a face detection method and device based on deep learning, in order to try to solve or at least alleviate the above existing problems. [0004] In the first aspect, the embodiment of th...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06N3/04G06N3/08G06T3/40
CPCG06N3/084G06T3/40G06V40/161G06N3/045
Inventor 孙旭东吴鹏程许主洪
Owner 北京深图智服技术有限公司