Method for covering face of news interviewee using quick face detection

A face detection and interviewee technology, applied in the field of image processing, can solve the problems of heavy workload, revealing privacy, affecting picture quality, etc., to achieve the effect of improving work efficiency and reducing work intensity

Inactive Publication Date: 2004-04-28
北京东方建宇混凝土科学技术研究院有限公司 +2
View PDF0 Cites 20 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, because the human face is active, it is necessary to manually drag the blurred window area continuously, which is a lot of work, and sometimes the priv

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
  • Method for covering face of news interviewee using quick face detection
  • Method for covering face of news interviewee using quick face detection
  • Method for covering face of news interviewee using quick face detection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] like figure 1 As shown, the entire framework of face detection includes 4 parts: preprocessing, center of gravity template matching, grayscale inspection and edge inspection. Input a frame of image, when the above 4 steps are completed at a specified maximum scale, the face corresponding to this scale should be detected, and the output is the position and area size of the face. Then it enters the loop, and the scale of each loop detection is successively reduced until it reaches the minimum detection scale.

[0026] Preprocessing such as figure 2 As shown, it includes three parts: generating Mosaic image, extracting Mosaic edge and calculating Mosaic center of gravity.

[0027] see image 3 The sample image of , the preprocessing first converts the current frame image into a Mosiac image of a certain scale ( Figure 4 ), and then extract horizontal edges on the Mosaic image ( Figure 5 ), and finally calculate the center of gravity of these horizontal edges ( Im...

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 method of covering face of news interviewee via quick face detection includes the following steps: detecting the position and size of the news interviewee; verifying and compensating with complexion information; tracking the face of news interviewee with face complexion histogram; and extracting face contour and blurring processing by means of the facial position, region and complexion information. The automatic face detecting and covering technology can reach a face detecting rate up to 88 % in case of using no complexion information and cover almost the whole face while combining with the complexion information. Therefore, the present invention can reduce work strength and raise work efficiency.

Description

technical field [0001] The invention relates to image processing, in particular to a method for automatically covering the faces of news interviewees by using fast face detection. Background technique [0002] During news interviews, in order to protect the privacy of the interviewee, etc., it is sometimes necessary to block the interviewee's face image (or image blurring). The general method is to set an area at the position of the face, and the image in this area is averaged according to a certain block size to achieve a blurred effect. However, because the human face is active, it is necessary to manually drag the blurred window area continuously, which is a lot of work, and sometimes the privacy is exposed due to inaccurate window coverage, and the ideal blur effect cannot be achieved, or the blurred area is too large. Greatly affects the picture quality. Contents of the invention [0003] The purpose of the present invention is to provide a method for accurately det...

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
IPC IPC(8): G06K9/46G06T1/00G06T7/60
Inventor 高文苗军
Owner 北京东方建宇混凝土科学技术研究院有限公司
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