3-dimensional human face recognition method integrating anthropometry and curvelet transform

A technology of face recognition and recognition method, which is applied in the field of 3D face recognition fused with anthropometry and curve wave transform

Inactive Publication Date: 2015-12-30
TIANJIN POLYTECHNIC UNIV
View PDF0 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, so far, no matter from the source of 3D information, data storage and processing, data preprocessing or the final recognition process,

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
  • 3-dimensional human face recognition method integrating anthropometry and curvelet transform
  • 3-dimensional human face recognition method integrating anthropometry and curvelet transform
  • 3-dimensional human face recognition method integrating anthropometry and curvelet transform

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0016] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0017] The specific process is as follows:

[0018] 1. Feature area positioning

[0019] 1. Positioning of the nose area:

[0020] Take the Gaussian curvature (K) and the average curvature (H) of the curved surface of the face. When K>0 and H<0, when K and H take the maximum value, the corresponding position is the nose point prn.

[0021] For the points on both sides of the nose, first, determine the search area of ​​the points on both sides of the nose: determine the size and position of the nose according to the anthropometric characteristics, then use the Laplacian of Gaussian operator to detect the edge of the search area, and detect the key points on the edge . Finally, select the leftmost and rightmost points closest to the tip of the nose from the key points as the points al-al on both sides of the nose.

[0022] The nose area located by the detec...

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 belongs to the technical field of detection based on machine vision, in particular to a 3-dimensional human face recognition method integrating anthropometry and curvelet transform. The 3-dimensional human face recognition method is provided according to the principle that anthropometry information represents human face characteristic regions favorably and human eyes can sense local irregular features of flaws, is based on multi-scale spatial theoretic analysis, and is used for analyzing the relativity of features of human face characteristic areas to different scale coefficients and adjacent angle coefficients, and coefficient models of different positions and different directions of a plurality of scales and different dimensionalities in the same position and the same direction of a plurality of adjacent scales, overcoming the impact of noise, extracting effective low-dimensional features representing obvious features of the human face characteristic regions, and finally recognizing according to an nearest neighbor method. The 3-dimensional human face recognition method can be applied to human face recognition in various sites.

Description

technical field [0001] The invention belongs to the technical field of pattern recognition based on machine vision, relates to a 3D face recognition method, in particular to a method of locating face feature regions using anthropometry features, and extracting feature region features using Curvelet Transform technology , to achieve 3D face recognition. Background technique [0002] In the field of face recognition, because two-dimensional face recognition technology is easily affected by factors such as lighting conditions, makeup, and face posture, its development has fallen into a bottleneck period. The three-dimensional face recognition that comes in time has more advantages than the two-dimensional face recognition. On the one hand, 3D face data contains more geometric information of the face; on the other hand, 3D face data depicts the real shape of the face and is not easily affected by external conditions, such as changes in posture and illumination. Theoretically s...

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): G06K9/00
CPCG06V20/653G06V40/168G06V40/171G06V2201/12
Inventor 罗菁宋丹
Owner TIANJIN POLYTECHNIC UNIV
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