Optical flow field calculation method

A calculation method and optical flow field technology, applied in the field of image processing, can solve the problems of many iterations, low efficiency, long calculation time, etc.

Inactive Publication Date: 2015-12-09
UNIV OF ELECTRONIC SCI & TECH OF CHINA
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the traditional optical flow field calculation method has a l

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
  • Optical flow field calculation method
  • Optical flow field calculation method
  • Optical flow field calculation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] In order to facilitate those skilled in the art to understand the technical content of the present invention, the content of the present invention will be further explained below in conjunction with the accompanying drawings.

[0031] The invention proposes an optical flow field calculation method under the basic constraint equation and the global smoothness constraint condition. On the basis of the traditional differential algorithm, the mean value is calculated by using the 4-neighborhood template When calculating the mean value of the optical flow field of a certain pixel, the new values ​​of its lower and left neighbors in the current iteration have been calculated. When calculating the mean value of the optical flow of a pixel, the calculated new value can be used. Accelerate the convergence speed of the algorithm.

[0032] The principle of the differential method is simple, it is relatively easy to implement, high in efficiency, and the calculation result is qui...

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 optical flow field calculation method. According to the method, current new iteration values of light streams in a lower neighborhood and a left neighborhood of a pixel point are already obtained when a light stream mean value of the pixel point is calculated through a four-neighborhood template, so that current iteration light streams of the pixel point can be obtained with the new value according to the calculated light stream mean value during calculation of the light stream mean value of the point. Through adoption of the method, errors are small, and the convergence speed of an algorithm is increased. The method is particularly suitable for situations with a large quantity of boundaries and large boundary gray scale gradients; the iteration times can be reduced greatly; and the iteration time is shortened. Compared with a conventional differential method, the method has the advantages of very high robustness, great shortening of the optical flow field calculation time, and high efficiency.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a fast optical flow calculation method. Background technique [0002] The optical flow field refers to a two-dimensional (2D) instantaneous velocity field composed of all pixels in the image, where the two-dimensional velocity vector is the projection of the three-dimensional velocity vector of the visible points in the scene on the imaging surface. Therefore, optical flow not only contains the motion information of the observed object, but also contains rich information about the three-dimensional structure of the scene. The study of optical flow has become an important part of computer vision and related research fields. Because optical flow plays an important role in computer vision, it has very important applications in target object segmentation, recognition, tracking, robot navigation, and shape information recovery. Restoring the 3D structure and mot...

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): G06T15/00
Inventor 余学才余瑞华程小龙
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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