Multi-pose face recognition method based on face energy diagram

A technology of face recognition and energy map, which is applied in the field of multi-pose face recognition based on face energy map, to achieve the effect of improving the resolution ability

Inactive Publication Date: 2013-02-06
三亚哈尔滨工程大学南海创新发展基地
View PDF2 Cites 20 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the traditional Fourier transform uses a global basis function to determine that it can only be used to deal with certain stationary signals, and it is powerless for time-varying non-stationary signals.

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
  • Multi-pose face recognition method based on face energy diagram
  • Multi-pose face recognition method based on face energy diagram
  • Multi-pose face recognition method based on face energy diagram

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] The present invention will be further described below in conjunction with accompanying drawing:

[0047] The multi-pose face recognition method based on the face energy map first needs to read the multi-pose face image from the face database, and perform face area detection on the face image based on the AdaBoost algorithm and manual segmentation method, and then based on the face The face energy map is constructed from the regional image, and then image enhancement is performed on the face energy map to improve image resolution. Finally, the secondary feature extraction is performed on the face energy map through the two-dimensional local preservation projection method to remove redundant information. Neighborhood classification completes face recognition.

[0048] 1. Read multi-pose face images and face area detection

[0049] 1.1. Definition of Face Pose Changes

[0050] combine figure 2 , the changes of the face in the 3-dimensional space are the translation and...

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 multi-pose face recognition method based on a face energy diagram. The method comprises the following steps: step 1, reading a multi-pose face image and detecting a face area; step 2, establishing the face energy diagram; step 3, enhancing and pre-processing the face energy diagram; step 4, extracting characteristics of the face energy diagram for the second time; and step 5, recognizing by classification. The invention provides the multi-pose face recognition method based on the face energy diagram which can effectively extract key information of a face in the situation of pitching variation and left-right swinging variation, greatly improve the recognition effect and improve the performance of a face recognition system.

Description

technical field [0001] The invention relates to a biological feature identification technology, in particular to a multi-pose face recognition method based on a face energy graph. Background technique [0002] The shape features of objects are widely used in object recognition, and the description of object shape is one of the important tasks of computer vision. Existing object shape description methods can be roughly divided into two categories: boundary-based shape description and region-based shape description. Among them, the boundary-based method describes the shape of the object only considering the pixels on the boundary of the object. In contrast, region-based methods extract shape features from regions of the entire target image. At present, the commonly used boundary-based object shape description techniques mainly include Fourier descriptor, wavelet descriptor, wavelet-Fourier descriptor and so on. Fourier descriptors are widely used in the field of shape descr...

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): G06K9/00
Inventor 王科俊邹国锋原蕾唐墨
Owner 三亚哈尔滨工程大学南海创新发展基地
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