Method and device for tracking characteristic point of image

A feature point and image technology, applied in the field of image processing, can solve problems such as poor effect and large amount of calculation, and achieve the effect of overcoming easy failure, good effect and fast speed

Active Publication Date: 2008-04-30
北京中星天视科技有限公司
View PDF0 Cites 46 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Embodiments of the present invention provide a method and device for tracking feature points in an image, which are used to solve the problems in the prior art that the effect of tracking feature points in an image is poor and the amount of computation required is large

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 and device for tracking characteristic point of image
  • Method and device for tracking characteristic point of image
  • Method and device for tracking characteristic point of image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] Embodiments of the present invention provide a method and device for tracking feature points in an image. By combining the feature point positioning technology in the image with the feature point tracking technology in the image, the feature point tracking problem is transformed into a feature point positioning problem to achieve better tracking effect, faster speed, and real-time calculation the purpose of the request.

[0022] The feature points of the image mentioned in the embodiment of the present invention include the left eye, the right eye and the center point of the mouth of the face in the image. Of course, other feature points such as the corners of the mouth and the corners of the eyes can also be included.

[0023] Specific embodiments of the present invention will be described below in conjunction with the accompanying drawings.

[0024] Referring to FIG. 1, a method for tracking feature points in an image provided by an embodiment of the present inventio...

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 method and a device for tracking featured point in an image to solve the problems such as poor effect and large amount of calculation in the prior art for tracking featured point in image. The inventive method for tracking featured point in image includes positioning featured point in a reference image to determine position of featured point in the reference image; determining a featured point searching zone rounding a featured point of the reference image as the center based on positions of the featured point in the reference image and a preset size of featured point searching zone, and using the searching zone as featured point searching zone of the present image; and defining featured point position of the present image in the featured point searching zone in the present image.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method and device for tracking feature points in an image. Background technique [0002] The location of facial feature points is one of the most important information in applications such as face recognition and human-computer interaction. For example, for video processing technology, how to quickly and accurately track the location of facial feature points is extremely critical. [0003] Traditional facial feature point tracking methods are generally based on the assumption that the tracking targets between frames have strong similarity, and use the minimum mean square error or histogram to measure the similarity of the tracking targets between frames, and find the most satisfying similarity. Candidates are tracked as results. For example, the tracking method based on optical flow or the mean-shift tracking method, when the pose of the tracking object changes, or wh...

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): G06K9/00G06T7/00G06K9/62G06K9/46
Inventor 邓亚峰黄英
Owner 北京中星天视科技有限公司
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