Electronic device, face image cluster search method, and computer readable storage medium

A face image and electronic device technology, applied in the image field, can solve the problems of reduced real-time performance and time-consuming face recognition, and achieve the effects of narrowing the search and recognition range, reducing time-consuming, and improving real-time performance

Inactive Publication Date: 2018-03-06
PING AN TECH (SHENZHEN) CO LTD
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  • Claims
  • Application Information

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Problems solved by technology

When the sample library is large, it takes more time to compare samples on

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  • Electronic device, face image cluster search method, and computer readable storage medium
  • Electronic device, face image cluster search method, and computer readable storage medium
  • Electronic device, face image cluster search method, and computer readable storage medium

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Embodiment Construction

[0046] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0047] Such as figure 1 as shown, figure 1 It is a schematic flowchart of an embodiment of the face image clustering search method of the present invention.

[0048] In this embodiment, the face image method includes:

[0049] Step S10, performing face detection on the real-time image to determine the real-time face image, and calculating the feature vector of the real-time face image;

[0050] The video captured by the camera device in real time is transmitted to the system in real time through the network and stored in the storage device of the system. The system extracts the image frames in the video in real time to obtain a real-time image, and performs face detection on the real-time image to determine the re...

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Abstract

The invention discloses an electronic device, a face image cluster search method, and a computer readable storage medium. The method comprises the steps: carrying out the face detection of a real-timeimage, so as to determine a real-time face image and calculate the feature vector of the real-time face image; calculating the distance between the feature vector of the real-time face image and a central point feature vector of each image class determined in advance, screening out the central point feature vector with the distance being less than a first threshold value, and taking the image class corresponding to the screened central point feature vector as a candidate class; searching a sample image from the candidate class, wherein the distance between the feature vector of the sample image and the feature vector of the real-time face image is minimum and is less than a second threshold value. According to the technical scheme of the invention, the method reduces the time in sample comparison in a human face recognition process, and improves the recognition real-time performances of a human face.

Description

technical field [0001] The present invention relates to the field of image technology, in particular to an electronic device, a face image clustering search method and a computer-readable storage medium. Background technique [0002] At present, in the application of face recognition, a common practice is to calculate an eigenvector for each recognition target face, compare it with the eigenvectors of each face in the sample database, and use the one with the smallest distance as the recognition result. When the sample library is large, it takes more time to compare samples one by one, which will reduce the real-time performance of face recognition. Contents of the invention [0003] The main purpose of the present invention is to provide an electronic device, a face image clustering search method and a computer-readable storage medium, aiming at reducing the time spent on sample comparison in the face recognition process and improving the real-time performance of face rec...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06F17/30G06K9/62
CPCG06F16/5838G06V40/172G06V40/161G06V40/168G06F18/23213
Inventor 戴磊
Owner PING AN TECH (SHENZHEN) CO LTD
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