Non-illumination face image reconstruction method and system

A face image and image technology, applied in the field of unilluminated face image reconstruction methods and systems, can solve problems such as uneven light spots or dark spots, low correction accuracy, and reduced face recognition accuracy.

Active Publication Date: 2010-12-22
HANVON CORP
View PDF0 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the texture information of the face illumination template image obtained in the differ

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
  • Non-illumination face image reconstruction method and system
  • Non-illumination face image reconstruction method and system
  • Non-illumination face image reconstruction method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] The technical solutions of the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0028] figure 1 It is a flow chart of Embodiment 1 of the unilluminated face image reconstruction method of the present invention. like figure 1 As shown, the unilluminated face image reconstruction method in the present embodiment includes:

[0029] S101. Adjust the brightness of the original face image to be recognized.

[0030] In an environment with harsh lighting conditions, since some areas of the original face image to be recognized appear as bright spots or dark spots, it is easy to add errors to the reconstruction. Dimming. Brightness adjustment can be performed by stretching the image histogram corresponding to the original face image to be recognized.

[0031] S102. Obtain a face reflectance image from the original face image to be recognized after brightness adjustment.

[0032] The original face 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 invention discloses a non-illumination face image reconstruction method and a non-illumination face image reconstruction system, which belong to the field of image reconstruction. The method comprises the following steps of: acquiring a face reflectivity image from a to-be-recognized original face image; establishing an illumination subspace according to a face reference image under different illumination conditions and projecting the to-be-recognized original face image and the face reflectivity image to the illumination subspace to obtain corresponding reference images respectively; establishing corresponding texture subspaces according to the corresponding reference images and projecting the to-be-recognized original face image and the face reflectivity image to the corresponding texture subspaces to obtain a projection coefficient of a base image in an original texture subspace and a base image in the reflectivity texture subspace respectively; and reconstructing a non-illumination face image according to the projection coefficient of the base image in the original texture subspace and the base image in the reflectivity texture subspace. The method and the system are mainly used for non-illumination face image reconstruction.

Description

technical field [0001] The invention belongs to the field of image reconstruction, in particular to an unilluminated human face image reconstruction method and system with strong illumination adaptability. Background technique [0002] Due to its technical advantages such as non-contact, intuitive and friendly, face recognition technology based on biometrics has been widely used in security, financial security, attendance and other fields. [0003] The process of face recognition is roughly as follows: capture the original face image to be recognized, then perform face detection and face feature extraction, and compare the extracted face features with the face features in the reference image to complete the entire process. The process of face recognition. Under the two-dimensional image representation, the original face image to be recognized appears as the superposition of the face illumination template image and the face reflectance image. Wherein, the face illuminatio...

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): G06T11/00G06T7/00
Inventor 熊鹏飞黄磊刘昌平
Owner HANVON CORP
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