Nonlocal stereo matching algorithm combined matching cost algorithm and parallax joint filling algorithm

A technology of stereo matching and matching cost, applied in computing, image data processing, instruments, etc., can solve the problems of inaccurate estimation of disparity value and prone to errors, etc.

Active Publication Date: 2017-03-15
GUILIN UNIV OF ELECTRONIC TECH
View PDF7 Cites 34 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when the algorithm calculates the initial matching cost value, it simply calculates the gray level difference and gradient difference, which is prone to errors when constructing the minimum spanning tree for weak texture and rich texture regions, resulting in inaccurate estimation of disparity values.

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
  • Nonlocal stereo matching algorithm combined matching cost algorithm and parallax joint filling algorithm
  • Nonlocal stereo matching algorithm combined matching cost algorithm and parallax joint filling algorithm
  • Nonlocal stereo matching algorithm combined matching cost algorithm and parallax joint filling algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] The content of the present invention will be further described below in conjunction with the embodiments and the accompanying drawings, but the present invention is not limited thereto.

[0038] Such as figure 1 As shown, a combination matching cost algorithm and disparity joint filling algorithm of a non-local stereo matching algorithm includes the following steps:

[0039] (1) Calculate the enhanced image:

[0040] Image I is the original image, Ω is all the pixels of image I, w i (j) is the joint weight of j to i, Δg i,j ,Δc i,j ,Δt i,j represent spatial information, color information and tree distance respectively, σ g ,σ c ,σ t represent weights, respectively. Calculate the filtered value of each pixel to obtain the filtered image, that is, the enhanced image Im ,

[0041] Define the weight strategy as follows:

[0042]

[0043]

[0044] The tree filtering algorithm is adopted, which establishes the minimum spanning tree on the original image, and a...

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 nonlocal stereo matching algorithm combined matching cost algorithm and parallax joint filling algorithm. According to the algorithm, a nonlocal stereo matching algorithm of cost aggregation based on a minimum spanning tree is used, and noise of an original image is removed in the preprocessing stage by using the algorithm based on the improved minimum spanning tree so that texture information can be enhanced and the enhanced image can be acquired. Then information of the original image is used in the matching cost stage and information of the enhanced image is also used. Therefore, local information of the image is acquired and global information is also acquired so as to have certain effect in later cost aggregation. The joint weight filling algorithm is put forward for the problem of parallax discontinuity and mismatching in the final parallax refinement part. The experiment proves that the algorithm has low mismatching rate and high robustness on the edge area and the repeat texture and occlusion areas in comparison with other nonlocal stereo matching algorithms. The experiment result proves the effectiveness of the algorithm.

Description

technical field [0001] The invention relates to a binocular ranging system, in particular to: a combined matching cost algorithm and a disparity joint filling algorithm of a non-local stereo matching algorithm. Background technique [0002] An important task of computer vision is to use computers to replace human eyes and brains, and to detect and identify the external objective world by acquiring target images, identifying and processing target images. Compared with human vision, the advantage of machine vision is that the digital image information of the target has a definite qualitative description, and the quantitative information of the target can be obtained through in-depth analysis and processing. [0003] Binocular measurement technology is an important research content in the field of computer vision. The image-based distance measurement technology is developed by using this feature of machine vision. It focuses on the position measurement of objects, by extractin...

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): G06T7/33
Inventor 莫建文高宇袁华陈利霞张彤首照宇欧阳宁赵晖林乐平张顺岚
Owner GUILIN UNIV OF ELECTRONIC TECH
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