Panoramic picture face detection method

A face detection and face detection technology, which is applied in the field of panoramic image face detection, can solve the problems of picture distortion, reduced accuracy, and increased difficulty in face recognition, and achieves the effect of improving accuracy and simplifying algorithms.

Pending Publication Date: 2022-03-25
ZHEJIANG LISHI TECH
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The invention provides a face detection method of a panoramic picture, which solves the problem that the picture obtained by a panoramic camera is distorted, which leads to increased difficulty of face recognition and reduced accuracy when performing face recognition detection

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
  • Panoramic picture face detection method
  • Panoramic picture face detection method
  • Panoramic picture face detection method

Examples

Experimental program
Comparison scheme
Effect test

no. 1 example

[0039] Please refer to figure 1 and figure 2 ,in, figure 1 A block flow diagram of a preferred embodiment of the panorama picture face detection method provided by the present invention, figure 2 It is a flow chart of processing a panorama picture according to an angle parameter of a face detection method for a panorama picture provided by the present invention. Panoramic image face detection method, comprising the following steps:

[0040] S1: Obtain a panoramic picture and preset angle parameters;

[0041] S2: Perform angle comparison processing on the panoramic picture according to the angle parameters, and obtain a parameter comparison result;

[0042] S3: Perform image acquisition processing on the panoramic picture according to the parameter comparison result to obtain a plane picture;

[0043] S4: Perform face detection processing on the planar image to obtain a detection structure, and output a face image according to the detection result.

[0044] In S1, the p...

no. 2 example

[0057] Please refer to image 3 , based on the panorama picture face detection method provided in the first embodiment of the present application, the second embodiment of the present application proposes another panorama picture face detection method.

[0058] Specifically, the difference between the panorama picture face detection method provided in the second embodiment of the present application is that the panorama picture face detection method further includes the following steps:

[0059] T1: Before panorama image detection, pre-set the face detection result storage area;

[0060] T2: Delete duplicate detection results according to the coordinate values ​​of the detection results;

[0061] T3: Store the face image in the storage area.

[0062] If a file is set in T1, the face detection result is output to the file, and when an external port is set, the face detection result is output to the external port.

[0063] Because in the process of face detection by rotating ...

no. 3 example

[0065] Specifically, the difference between the panorama picture face detection method provided by the third embodiment of the present application is that:

[0066] Among them, according to the step length parameter, the horizontal angle of view parameter, the vertical angle of view parameter, and the preset angle parameter, the panoramic picture is compared and processed, and the parameter comparison result is obtained, which also includes: the first bird's-eye view angle parameter is added to the step length parameter to obtain the second bird's-eye view Angle parameter; add the second viewing angle parameter and the longitudinal viewing angle parameter to obtain the first viewing angle parameter sum; compare the first viewing angle parameter sum with the first preset angle to obtain the first comparison result, and compare the first viewing angle parameter according to the first comparison result The yaw angle parameter is processed; the first yaw angle parameter is added to...

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 provides a panoramic picture face detection method. The panoramic picture face detection method comprises the following steps: S1, acquiring a panoramic picture, and presetting an angle parameter; s2, performing angle comparison processing on the panoramic picture according to the angle parameter, and obtaining a parameter comparison result; s3, performing image acquisition processing on the panoramic picture according to a parameter comparison result to obtain a plane picture; and S4, performing face detection processing on the plane picture to obtain a detection structure, and outputting a face image according to a detection result. According to the panoramic picture face detection method provided by the invention, angle comparison processing is performed on the panoramic picture, image processing is performed on the panoramic picture according to the parameter comparison result to obtain the plane picture, and face detection processing is performed on the plane picture to obtain the face image, so that a panoramic picture face recognition algorithm is simplified; and the recognition accuracy is improved.

Description

technical field [0001] The invention relates to the field of panorama picture human face detection, in particular to a panorama picture human face detection method. Background technique [0002] Panoramic photos, also known as panoramas, usually refer to the normal effective angle of view of human eyes (about 90 degrees horizontally, 70 degrees vertically) or include the angle of vision of the peripheral vision of the eyes (about 180 degrees horizontally, 90 degrees vertically), or even 360 degrees. Scene range photos taken. [0003] With the popularity of panoramic video, the demand for face detection of panoramic pictures has also emerged in various usage scenarios. Most of the current solutions are to directly obtain panoramic pictures of panoramic videos, and directly perform face recognition detection on panoramic pictures. [0004] However, the pictures obtained by the panoramic camera are distorted, which will increase the difficulty of face recognition and reduce th...

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 Applications(China)
IPC IPC(8): G06V40/16
Inventor 赵进平陈海江
Owner ZHEJIANG LISHI TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products