Segmented tree disparity map acquisition method based on improved matching cost

A matching cost and acquisition method technology, applied in the field of image processing, can solve the problems of high computational complexity and low accuracy of disparity maps

Inactive Publication Date: 2019-09-06
CHANGCHUN UNIV OF SCI & TECH
View PDF0 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the above-mentioned deficiencies in the prior art, the present invention provides a segmented tree disparity map acquisition method based on improved matching co...

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
  • Segmented tree disparity map acquisition method based on improved matching cost

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0075] In order to make the content of the present invention more clearly understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention.

[0076] As shown in the accompanying drawing, a method for obtaining a segmented tree disparity map based on an improved matching cost includes the following steps:

[0077] Step 1: Collect the pixels of the left image, and form the matrix Z_Left from all the pixels on the left image according to the order from left to right and from top to bottom; let the matrix Z_Left have M rows, N columns, M=450, N= 375; Z_Left(i, j)=(LR(i, j), LG(i, j), LB(i, j)) is the i-th row j column element of matrix Z_Left, wherein LR(i, j) , LG(i, j), LB(i, j) are the RGB values ​​of Z_Left(i, j) respectively;

[0078] Step 2: Collect pixels on the right image, and form a matrix Z_Right from all pixels on the right image i...

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 segmented tree disparity map acquisition method based on improved matching cost. The method comprises the following steps: carrying out pixel point acquisition on a left image and a right image; establishing a matrix; performing cost calculation; converting the undirected connected graph; converting the minimum spanning tree; calculating the weight between adjacent pixelpoints; cost aggregation; acquiring left and right disparity maps wherein left and right pixels are consistent; introducing depth information and color information; performing cost aggregation again;obtaining a final disparity map. For the defect that ambiguity matching is easily generated in a weak texture region, color and gradient multi-dimensional information components are introduced, so that the weight distribution of a window is more reasonable, and the cost amount of pixel points in the weak texture region is enhanced; a novel grouping strategy is provided, and pixel points conformingto parallax consistency are divided to the same spanning tree; and a more accurate matching result can be generated while the time efficiency is kept.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for acquiring a segmented tree disparity map based on an improved matching cost. Background technique [0002] In the process of exploring the external world, human beings obtain information in various ways. However, at least 80% of the information comes from the visual part. As an important visual organ, the eyes can transmit the captured scenes to the brain for analysis and processing. With the continuous development of science and technology and the maturity of related theories, researchers hope that computers can also realize the functions of the human visual system. Not only can images of real scenes be obtained, but at the same time, it is hoped to be able to identify image information and analyze and process important information, thus the discipline of computer vision was born. As a popular research direction in this discipline, stereo vision technolo...

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): G06T7/55
CPCG06T7/55G06T2207/20228
Inventor 韩成金龙斌张超卢时禹胡汉平杨华民蒋振刚李岩芳李华权巍耿雪娜徐春凤姜珊
Owner CHANGCHUN UNIV OF SCI & 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