Global block optimization-based stereoscopic image dense matching method

A stereoscopic image and dense matching technology, applied in image analysis, image data processing, instruments, etc., can solve problems such as parallax steps

Active Publication Date: 2017-09-15
WUHAN ENG SCI & TECH RESINST
View PDF2 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The present invention can effectively solve the problem of "parallax ladder" which is common in the dense match

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
  • Global block optimization-based stereoscopic image dense matching method
  • Global block optimization-based stereoscopic image dense matching method
  • Global block optimization-based stereoscopic image dense matching method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] Below in conjunction with accompanying drawing and embodiment the present invention is described in further detail:

[0046] Aiming at the common disparity ladder problem in the traditional dense matching method of stereoscopic images, the present invention proposes a dense matching method of stereoscopic images based on global block optimization. This method can effectively solve the above-mentioned disparity ladder problem, and obtain a continuous and smooth disparity map of the model surface. The workflow of the present invention is as figure 1 As shown, it includes the following steps:

[0047] Step 1: In the stereo image, select the reference image and the reference image, and use the traditional stereo image dense matching method to obtain the disparity map of the initial match;

[0048] Stereoscopic images are two images that make up stereoscopic vision. Images can be satellite images, aerial images, UAV images, etc. First, select the reference image and the r...

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 relates to a global block optimization-based stereoscopic image dense matching method. The method comprises the steps of 1, selecting a standard image and a reference image, and obtaining an initial matching parallax graph by adopting a conventional stereoscopic image dense matching algorithm; 2, by adopting a superpixel segmentation technology, segmenting the reference image into a series of mutually adjacent blocks; 3, constructing data items in a global energy function; 4, constructing smooth items in the global energy function; and 5, according to the data items and the smooth items, establishing the global energy function, resolving the function by adopting a least square method to obtain a global optimal solution, and generating an accurate, continuous and smooth matching parallax graph. According to the method, the problem of ''parallax steps'' ubiquitous in the conventional stereoscopic image dense matching algorithm can be effectively solved; and in the generated matching parallax graph, the model surface is continuous and smooth, and the three-dimensional reconstruction precision is high.

Description

technical field [0001] The present invention relates to the technical field of stereoscopic image dense matching, in particular to a stereoscopic image dense matching method based on global block optimization. technical background [0002] Stereo image dense matching refers to the process of matching points with the same name between two images pixel by pixel according to a certain matching cost optimization method. According to different optimization methods, stereo image dense matching methods can be divided into: local dense matching, semi-global dense matching and global dense matching. Stereo image dense matching is one of the core technologies in the fields of 3D modeling, virtual reality, computer vision, etc. Applications such as virtual e-commerce. [0003] The current mainstream 3D modeling technologies include: manual modeling technology, laser scanning technology, structured light technology and stereo image dense matching technology. Compared with the other t...

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): G06T7/32G06T7/33
Inventor 黄旭周刚高其双胡堃陆正武蔡刚山范超
Owner WUHAN ENG SCI & TECH RESINST
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