Facial feature extraction method

An extraction method and face feature technology, applied in the field of image processing, can solve the problems of low accuracy rate, the influence of insufficient light, and the extraction accuracy rate of too much interference information, and achieve the effect of overcoming insufficient light and improving the accuracy rate

Inactive Publication Date: 2011-09-14
SUZHOU LIANGJIANG TECH
View PDF4 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] As far as the geometric feature extraction method is concerned, it is extremely vulnerable to the impact of insufficient lighting, and too much interference information such as facial noise is also one of the major factors affecting the accuracy of extraction, which needs to be improved
[0007] In view of the above analysis, the inventor conducted in-depth research on the problem of low accuracy of the existing face feature extraction methods, and this case arose from this

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
  • Facial feature extraction method
  • Facial feature extraction method
  • Facial feature extraction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] The implementation process of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0030] Such as figure 1 As shown, the present invention provides a kind of human face feature extraction method, comprises the steps:

[0031] (1) Read in a face image: read in a standard face from the face library;

[0032] (2) Extract the V component in the HSV space: divide the read-in face image into the H component, S component and V component in the HSV color space, and then take out the V component. The V component extracted through this step Can well overcome the impact of insufficient light (can cooperate with figure 2 and image 3 show contrast effect);

[0033] (3) Neighborhood processing: apply Gauss filtering or median filtering to the V component image obtained above, which can well remove the influence of interference information such as non-characteristic organs, of course, other filtering can also be used methods a...

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 facial feature extraction method, which comprises the following steps of: (1) dividing H, S, V (Hue, Saturation, Value) components of a facial image in an HSV color space and taking out the V component; (2) filtering the V component image; (3) corroding and expanding the obtained image; (4) carrying out binaryzation on the obtained image, and obtaining an image with black and white colors; (5) respectively carrying out integral projection on the obtained black and white image in a horizontal direction and a vertical direction to obtain a horizontal and vertical integral projection image; (6) determining feature values of primary organs of a face according to the integral projection image obtained through analysis; and (7) locating correct locations of the primaryorgans on the face according to the obtained feature values. Due to the adoption of the extraction method, accuracy rate of facial feature recognition can be improved.

Description

technical field [0001] The invention belongs to the field of image processing, in particular to a face feature extraction method. Background technique [0002] The commonly used face feature extraction methods mainly include the following three categories: [0003] ①Geometric feature extraction: Utilizing the structural features and prior knowledge of the face, by positioning and measuring the salient features of facial expressions, such as the shape and position changes of eyes, nose, eyebrows, and mouth, etc., determine their size, distance, Recognize the characteristic relationship of shape and mutual proportion. [0004] ②Statistical feature extraction: Compared with geometric features, this statistical feature is based on the overall grayscale feature of the image. It emphasizes retaining as much information as possible from the original facial expression image, and obtains its statistical features by training a large number of samples. , the basic idea is to map 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 Applications(China)
IPC IPC(8): G06K9/46G06K9/00
Inventor 陈国庆衡骏
Owner SUZHOU LIANGJIANG 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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap