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

Image registering method based on optical flow field

An optical flow field and image technology, applied in image analysis, image data processing, instruments, etc., can solve problems such as low accuracy, interference, and monotonous manual registration methods

Inactive Publication Date: 2014-11-19
HARBIN DIANSHI SIMULATION SCI & TECH
View PDF2 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Image registration methods can be broadly divided into manual registration and automatic registration. The manual registration method is monotonous, human interference is inevitable, and the accuracy rate is low.

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
  • Image registering method based on optical flow field
  • Image registering method based on optical flow field
  • Image registering method based on optical flow field

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0062] This embodiment combines Figure 1-6 The present invention is described in detail:

[0063] 1. First calculate the optical flow field between images. The process of this method is as follows: The differential optical flow algorithm based on the first-order space-time gradient boils down to finding the solution of the following equation

[0064] (1)

[0065] In the formula, for point on point image edge direction of flow velocity, for the image sequence shorthand for The image of the moment is at the point the brightness at for at point edge The partial derivative of the direction, is the smoothness of the flow velocity described by the flow velocity gradient on the image plane, In order to control the weight of smoothness, the flow velocity solution in the form of relaxation iteration can be obtained at last

[0066] (2)

[0067] (3)

[0068] are respectively for estimated value. Consider updating charac...

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 an automatic and accurate image registering method based on analysis on an optical flow field. The method is characterized in that image registering is divided into background registering and object registering, wherein background registering is completed by calculating the global optical flow field; and the object registering is realized via matching algorithms from coarse to fine levels, characteristic-point sets of two frames of images to be registered are extracted, transformation parameters of a moving object is calculated in a least square method, and thus, the moving object is registered.

Description

technical field [0001] The present invention is related to computer vision, image understanding and computer graphics. With the wide application of video streams, it is necessary to realize the registration between images in the image sequence, especially the registration problem between images in the case of camera movement. The invention relates to an image registration method based on optical flow field, which effectively solves the registration problem of camera motion and large moving target. Background technique [0002] Image registration is the process of finding the best match between pixels corresponding to the same physical area in two images, in camera correction, multi-sensor data fusion, remote sensing image splicing, moving target tracking and In many applications such as the analysis of medical images, image registration is an unavoidable and important problem. [0003] Image registration methods can be broadly divided into manual registration and aut...

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): G06T7/00
Inventor 张泽旭
Owner HARBIN DIANSHI SIMULATION SCI & TECH
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