Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A method, device and mobile terminal for realizing face recognition by intelligent quick start

A fast startup, face recognition technology, applied in the directions of multi-program installation, program startup/switching, character and pattern recognition, etc., can solve the problems of slow startup, stuck, slow face recognition, etc., to improve comfort , the effect of increasing the speed

Active Publication Date: 2018-05-25
GUANGDONG OPPO MOBILE TELECOMM CORP LTD
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a method, device and mobile terminal for realizing face recognition by intelligent quick startup, which solves the problem of slow startup of the face detection system, slow face recognition speed and obvious stuck phenomenon during continuous and rapid browsing of photos in the photo browsing process problems, improve the comfort of user experience

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A method, device and mobile terminal for realizing face recognition by intelligent quick start
  • A method, device and mobile terminal for realizing face recognition by intelligent quick start
  • A method, device and mobile terminal for realizing face recognition by intelligent quick start

Examples

Experimental program
Comparison scheme
Effect test

no. 1 example

[0052] refer to figure 1 As shown, the first embodiment of the present invention provides a method for intelligent quick start to realize face recognition, the method includes the following steps:

[0053] Step 100: Get the path of the current picture.

[0054] The current picture is the picture at the corresponding position when the user stops browsing. For example, when using a smart phone to browse pictures, the user slides the picture to select, and when the user slides to a certain picture and stops sliding, the picture is the current picture. The path of the current picture is the storage location of the current picture. In this method, only the storage location of the current picture is obtained, and the current picture is detected instead of every browsed picture is detected.

[0055] Step 200: Obtain the current picture according to the path, and generate a thumbnail of the picture.

[0056] Because the path is the storage location of the current picture, the curr...

no. 2 example

[0061] figure 2 It is a flow chart of the method for realizing face recognition by intelligent quick start provided by the second embodiment of the present invention. The method for realizing face recognition by intelligent quick start is based on the first embodiment of the present invention. Step 100: get the current picture The specific optimization of the path is as follows: obtain the recorded paths of the pictures that have been browsed, sort the paths according to the browsing order, and read the path at the end as the path of the current picture.

[0062] refer to figure 2 As shown, the method for realizing face recognition by the intelligent quick start includes:

[0063] Step 110: Obtain the recorded paths of the browsed pictures.

[0064] When the user slides the picture, get the storage path of each picture and record it. An array list can be used to record the path of the pictures browsed. When the user stops sliding the picture, access the array list throug...

no. 3 example

[0071] image 3 It is a flow chart of the method for realizing face recognition by intelligent quick start provided by the third embodiment of the present invention. The method for realizing face recognition by intelligent quick start is based on the first embodiment of the present invention. The path obtains the current picture, and the generation of the thumbnail of the picture is specifically optimized as follows: creating a background thread, and the background thread obtains the current picture according to the path, decodes the picture, and scales the decoded picture into a preview image. Thumbnails at the set resolution.

[0072] refer to image 3 As shown, the method for realizing face recognition by the intelligent quick start includes:

[0073] Step 210: Create a background thread, and the background thread obtains the current picture according to the path.

[0074] Create a background thread for image decoding and image face detection and recognition. When the u...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a method, a device and a mobile terminal for realizing face recognition by intelligent quick start. The method includes the steps of acquiring the path of the current picture; acquiring the current picture according to the path, and generating a thumbnail of the picture; The step of importing the thumbnail into the face detection library to perform face detection. Use the path to obtain the current picture and read the current picture to avoid the obvious stuck phenomenon caused by detecting each picture when the user slides the picture quickly; create a background thread to decode the picture and detect the face, so as to realize the quick start of the human Face recognition function; generate a thumbnail of the current picture, adjust the resolution of the current picture, improve the speed of face recognition, and remind the user to process the picture after quickly locating the face, which improves the comfort of the user experience.

Description

technical field [0001] The invention relates to an image preprocessing technology, in particular to a method, a device and a mobile terminal for realizing face recognition by intelligent quick start. Background technique [0002] As smart phones become more and more popular, the pixels of mobile phone cameras are getting higher and higher, and the frequency of users taking selfies with mobile phone cameras is also increasing. After taking selfies, users often need to edit some pictures they are interested in, such as adding blush to certain parts of the face of the selfie, expanding the eyes or performing regional processing on the face And a series of cosmetic effect processing. [0003] The above-mentioned processing inevitably involves the action of face detection when browsing photos, and the speed of face detection needs to be as fast as possible. For example, when the user quickly browses and slides photos, it is necessary to quickly start face detection. So that the...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06F9/48G06K9/64
Inventor 李小朋
Owner GUANGDONG OPPO MOBILE TELECOMM CORP LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products