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

An incremental motion structure restoration optimization method based on image sequence

A technology of motion structure and optimization method, applied in the field of 3D reconstruction, can solve the problems of increasing development cost and prolonging the development cycle, and achieve the effect of improving accuracy, performance and efficiency of calculation

Active Publication Date: 2019-01-15
NORTHEASTERN UNIV
View PDF3 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the traditional workflow, the establishment of 3D models mostly relies on cumbersome manual modeling software, which greatly prolongs the development cycle and significantly increases the development cost

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
  • An incremental motion structure restoration optimization method based on image sequence
  • An incremental motion structure restoration optimization method based on image sequence
  • An incremental motion structure restoration optimization method based on image sequence

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. The specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0037] An image sequence-based incremental motion structure restoration optimization method, the process is as follows figure 1 shown, including the following steps:

[0038] Step 1: Obtain images from various angles of the object to be reconstructed;

[0039] In this embodiment, the object to be reconstructed is photographed by other devices such as a digital camera, a mobile phone, or a drone, and images from various angles of the object are obtained.

[0040] Step 2: Use the SFIT feature point extraction and matching method to process the image to obtain the relationship and descriptor of the feature points betw...

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 provides an incremental motion structure restoration optimization method based on an image sequence, which relates to the field of three-dimensional reconstruction. Includes acquiring images of various angles of the object to be reconstructed; acquiring the relationship of feature points and descriptors between the two images; filtering outliers of feature points; eliminating heterogeneity; forming an initial point cloud model; rich point cloud model; the final point cloud model is obtained. The point cloud model is optimized. In this method, the adaptive threshold estimation method is used in the initial image pair selection process, so that the value of the abnormal feature points can be automatically adjusted and filtered, and the constraint is introduced to further filter, so as to obtain more accurate initial image pairs, ensure the robust initial reconstruction, and improve the overall quality of three-dimensional reconstruction; EPNP method is used in incremental addition iteration to improve the efficiency and precision of iteration, so as to improve the performance of this method. Through BA method, the precision of model optimization is further improved, andthe problem of error accumulation in incremental iteration is solved.

Description

technical field [0001] The invention relates to the technical field of three-dimensional reconstruction, in particular to an image sequence-based incremental motion structure restoration optimization method. Background technique [0002] With the continuous advancement of computer-related technologies, virtual reality technology has developed rapidly. During the construction of the virtual scene, a large number of 3D models will be used. In the traditional workflow, the establishment of 3D models mostly relies on cumbersome manual modeling software, which greatly prolongs the development cycle and significantly increases the development cost. For this reason, we seek a 3D modeling method with easier access to data sources and faster speed. [0003] Image is a two-dimensional mapping of three-dimensional space, which contains information such as camera position and focal length in three-dimensional space. Using the information in the known image to restore a three-dimension...

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): G06T17/00G06T7/33
CPCG06T7/33G06T17/00G06T2207/10028
Inventor 高天寒杨子艺
Owner NORTHEASTERN 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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com