Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for improving human face identification rate

A face and face information technology, applied in the field of improving the face recognition rate, can solve the problems of insufficient face accuracy and inability to correctly identify, and achieve the effect of improving the face recognition rate

Inactive Publication Date: 2011-06-29
ALTEK CORP
View PDF0 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Face recognition currently used by digital cameras mostly only captures images from the front of the face. It is not accurate enough for the same face with different expressions, shapes, lighting conditions, capture angles or capture distances.
Therefore, when the person to be captured changes expression, changes shape, moves or turns his head, the traditional face recognition method cannot recognize it correctly

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
  • Method for improving human face identification rate
  • Method for improving human face identification rate
  • Method for improving human face identification rate

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] The detailed features and advantages of the present invention are described in detail below in the embodiments, the content of which is sufficient to enable any person skilled in the art to understand the technical content of the present invention and implement it accordingly, and according to the content disclosed in this specification, the scope of claims and the drawings , those skilled in the art can easily understand the related objects and advantages of the present invention.

[0035] The method for improving the face recognition rate according to an embodiment of the present invention is applicable to a digital camera with a storage unit.

[0036] figure 1 It is a structural schematic diagram of a digital camera applicable according to the present invention. Digital cameras applicable to the present invention may be but not limited to figure 1 The architecture shown.

[0037] Please refer to figure 1 The digital camera 100 may include a lens device 102 , a ph...

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 method for improving the human face identification rate. The method is suitable for a digital camera with a memory unit. Human face information is stored in the memory unit, and includes human face characteristics. The method for improving the human face identification rate comprises the following steps: retrieving a first human face image of a target human; executing a human face identification program to determine whether the first human face image is corresponding to human face information in the memory unit or not through the human face identification program; and executing an updating program when the first human face image is corresponding to the human face information so as to increase the human face characteristics corresponding to the target human in the memory unit.

Description

technical field [0001] The invention relates to a method for improving the face recognition rate, in particular to a method for improving the face recognition rate, which is suitable for a digital camera with a storage unit. Background technique [0002] In today's daily life, various digital products that replace traditional analog technology have become very popular, and digital cameras are a good example. Digital cameras use light sensors to capture images and convert them into digital signals, which are then stored in the format of electronic image files. By adjusting various capture parameters, users can shoot the digital images they want as they wish. Most of today's digital cameras also provide users with many convenient functions, such as auto focusing, various scene modes, or facial recognition. With the functions provided by the digital camera, users can more easily take satisfactory photos. [0003] Among them, the technology of face recognition has been quite ...

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): H04N5/225G06K9/00
Inventor 周詹闵翁启荣
Owner ALTEK CORP
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com