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Image maximum face recognition method and system based on Gaussian pyramid

A Gaussian pyramid, face recognition technology, applied in the field of the largest face recognition method and system based on the Gaussian pyramid, can solve the problem of time-consuming 100-300 milliseconds, and achieve the effect of improving the detection speed

Inactive Publication Date: 2021-02-23
四川天翼网络股份有限公司
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

Most of the current face detectors detect all the faces in a picture for a picture, and the detection time generally takes 100-300 milliseconds in embedded devices.

Method used

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  • Image maximum face recognition method and system based on Gaussian pyramid
  • Image maximum face recognition method and system based on Gaussian pyramid
  • Image maximum face recognition method and system based on Gaussian pyramid

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Embodiment Construction

[0026] In order to describe the embodiments of the present invention in detail, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the present invention Examples, not all examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0027] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0028] The main purpose of the present invention is to provide a Gaussian pyramid-based image maximum face recognition method and system, aiming to solve the technical problems of long detection time and inaccurate face ...

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Abstract

The invention discloses an image maximum face recognition method and system based on a Gaussian pyramid, and the method employs a cascaded face detector which comprises a light-weight face detection model at a first stage and a common-level face detection model at a second stage. Whether a human face and a human face position exist in an image or not is rapidly detected through a lightweight model, a common-level model is further confirmed based on the lightweight model, and therefore detection of the maximum human face is achieved. By adopting the Gaussian pyramid-based image maximum face recognition method provided by the invention, the algorithm speed can be optimized from the detection number, so that the detection speed of the image maximum face is greatly improved.

Description

technical field [0001] The invention relates to the field of face detection, in particular to a Gaussian pyramid-based image maximum face recognition method and system. Background technique [0002] Face detection is to give an image and find out the positions of all faces in the image, usually framed by a rectangular frame, the input is an image, and the output is several rectangular frame positions containing faces. Most of the current face detectors detect all faces in a picture for a picture, and the detection time generally takes 100-300 milliseconds in embedded devices. However, in many face recognition scenarios, such as single-channel face recognition application scenarios such as access control and gates, each recognition only needs to detect the face closest to the current screen in the image, that is, the largest face. Therefore, how to achieve maximum face recognition and improve the speed of face detection is a technical problem that needs to be solved urgently...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/40
CPCG06V40/166G06V40/168G06V10/30
Inventor 杨垒刘栓
Owner 四川天翼网络股份有限公司