Multi-modal face recognition device and method based on multi-layer fusion of gray level and depth information

A face recognition and depth information technology, applied in the field of face recognition, can solve the problems affecting the stability and accuracy of the face recognition system

Inactive Publication Date: 2015-05-06
SHENZHEN WEITESHI TECH
View PDF8 Cites 28 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Face grayscale images are easily affected by changes in illumination, while face depth images are easily affected by data acquisi

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-modal face recognition device and method based on multi-layer fusion of gray level and depth information
  • Multi-modal face recognition device and method based on multi-layer fusion of gray level and depth information
  • Multi-modal face recognition device and method based on multi-layer fusion of gray level and depth information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0073] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0074] The invention discloses a multi-modal face recognition device based on multi-layer fusion of grayscale and depth information, including a computing unit for face recognition on grayscale information; a computing unit for face recognition on depth information; A computing unit for fusion based on multimodal face recognition scores; a classifier computing unit for classifying data.

[0075] The gray-scale information face recognition calculation unit spec...

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 multi-modal face recognition device and method based on multi-layer fusion of gray level and depth information. The method mainly comprises the steps of recognizing the gray level information of a human face; recognizing the depth information of the human face; normalizing the gray level information and the depth information of the human face, based on normalized matching scores, obtaining multi-modal fused matching scores through fusion strategies to achieve multi-modal face recognition. According to the multi-modal face recognition device and method based on multi-layer fusion of gray level and depth information, a multi-modal system collects two-dimensional gray level information and three-dimensional depth information, makes use of the advantages of the two-dimensional gray level information and the three-dimensional depth information, and through the fusion strategies, overcomes certain inherent shortcomings of a single-modal system such as illumination of gray level images and expressions of depth images, thereby greatly enhancing the performance and achieve accurate and rapid face recognition.

Description

technical field [0001] The invention relates to the technical field of face recognition, in particular to a multi-modal face recognition device and method based on multi-layer fusion of grayscale and depth information. Background technique [0002] Compared with 2D face recognition, 3D face recognition has the advantages of being robust to illumination and less affected by factors such as posture and expression. Therefore, after the rapid development of 3D data acquisition technology and the great improvement in the quality and accuracy of 3D data, Many scholars devote their research to this field. [0003] CN20101025690 proposes the relevant features of three-dimensional bending invariant to describe the characteristics of human face. This method extracts the relevant features of the bending invariant by encoding the local features of the bending invariant of adjacent nodes on the surface of the three-dimensional face; signs the relevant features of the bending invariant a...

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): G06K9/00G06K9/62
CPCG06V40/168G06V40/172G06F18/00
Inventor 夏春秋
Owner SHENZHEN WEITESHI 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