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

A Calculation Method of Stereo Image Matching Graph

A technology of stereo image and graph computing, applied in the field of image processing and stereo vision, can solve the problems of inability to save spatial correlation and distortion, and achieve the effect of increasing spatial correlation and increasing accuracy.

Active Publication Date: 2019-05-31
TIANJIN UNIV
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method still has a many-to-one situation, causing distortion, and cannot preserve spatial correlation.

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
  • A Calculation Method of Stereo Image Matching Graph
  • A Calculation Method of Stereo Image Matching Graph
  • A Calculation Method of Stereo Image Matching Graph

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach

[0064] 1. Establishment of energy equation

[0065] It is necessary to pay attention to the preservation of the matching relationship between pixels when fusing, inserting, and removing pixels in a stereo image. Line matching pairs can show the relationship between left and right views and thus avoid mismatch distortion of stereoscopic images. Moreover, line matching can maintain the spatial correlation of images. Line-matched pairs are therefore chosen to represent pixel relationships between stereoscopic image pairs. First, line selection is required before lines are matched to pixels. In the present invention, the line selection is modeled by establishing an energy equation. The energy equation considers both the line selection characteristics and the matching characteristics, and is defined as follows:

[0066] E. total (i,j,j ± )=α·E select (i,j,j ± )+(1-α)·E match (i,j),

[0067] j ± Represents the selected pixel in row i-1. We use a generalized line, that is,...

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 belongs to the field of image processing and stereo visual technologies and provides a stereo image matching graph calculation method, for bringing a quite good pixel matching result for stereo image redirection. According to the technical scheme employed by the invention, the stereo image matching graph calculation method comprises the following steps: 1, establishment of an energy equation; 2, line selection based on dynamic planning; 3, establishment of a matching graph, i.e., after the line selection, line matching is performed according to a selected sequence, first of all, a matching line pair is obtained by searching for matched pixels for pixels in a line according to parallax relations, then, the line matching pair is removed temporarily so as to avoid repeated matching, next, a next line matching pair is sought, and the whole process lasts until each line has a matched line; and 4, matching relation establishment based on a matching graph. The method is mainly applied to image processing.

Description

technical field [0001] The invention belongs to the technical fields of image processing and stereo vision, and in particular the invention relates to a method for calculating a stereo image matching graph for redirection. Background technique [0002] Compared with planar images, stereo images have depth information that can bring valuable cues for retargeting. However, the preservation of this information also brings new challenges for stereo image retargeting. Stereoscopic image redirection not only reduces visual distortion, but also reduces parallax distortion. The change of the disparity value will affect the stereoscopic perception of the image, and even make the stereoscopic effect disappear completely. When the planar image reorientation algorithm is directly applied to stereo images, it will bring severe parallax distortion due to the neglect of the disparity relationship between pixels in the stereo images. In order to reduce parallax distortion, care should be...

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 Patents(China)
IPC IPC(8): G06T7/30
CPCG06T2207/10012G06T2207/20228
Inventor 吴敏雷建军侯春萍李乐乐丛润民梅旭光
Owner TIANJIN UNIV
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