Scattered image based crop fruit three-dimensional point cloud extracting system

A three-dimensional point cloud and fruit technology is applied in the field of a three-dimensional point cloud target extraction method and system based on collecting two-dimensional images of crops and fruits, and achieves low-cost effects.

Inactive Publication Date: 2018-06-22
NORTHWEST A & F UNIV
View PDF4 Cites 25 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The technical problem to be solved by the present invention is to provide a set of crop fruit point cloud target extraction system based on scattered p

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
  • Scattered image based crop fruit three-dimensional point cloud extracting system
  • Scattered image based crop fruit three-dimensional point cloud extracting system
  • Scattered image based crop fruit three-dimensional point cloud extracting system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0027] In the present invention, the user can choose the way of taking photos or obtain the two-dimensional picture material group of the target fruit crop in different viewing angles and the range of change is about 10 degrees through a three-dimensional design tool, and import it into the computer program in the present invention; for the input two-dimensional image group, carry out Information extraction and image matching, according to the matching results, get key points, camera position and other scene information for sparse point cloud reconstruction; then perform dense point reconstruction on the basis of sparse point cloud; further, point cloud files can be ply to pcd Format conversion and conversion between...

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 scattered image based crop fruit three-dimensional point cloud extracting method. According to the invention, two-dimensional pictures of a target crop fruit in different angles generated through random photographing by a user are imported; data and characteristic extraction on the two-dimensional images are performed based on SIFT operators having scale and rotation invariant characteristics and matching is performed on data of different dimensions by utilizing an FLANN algorithm; generation of sparse point cloud is realized by utilizing information such as key points in the acquired two-dimensional images, camera parameters and the like; a complex point cloud is generated further through techniques of initial characteristic matching, sparse patch generation, condense patch acquisition through spreading and error patch filtering and the like; in order to ensure accuracy of the fruit point cloud, outliers of the fruit point cloud are removed through combinedinteractive selection and based on a method employing a filter. According to the invention, generation and denoising of a three-dimensional point cloud model of a crop fruit are realized through two-dimensional images and an objectification point cloud model is provided for processing including three-dimensional reconstruction and the like.

Description

technical field [0001] The invention belongs to the application of computer technology in three-dimensional point cloud extraction of crop fruits, and relates to a three-dimensional point cloud target extraction method and system based on collecting two-dimensional images of crop fruits. Background technique [0002] With the development of agricultural informatization, the automatic and robust analysis of the visible attributes of crop fruits (organs), especially the measurement of fruit phenotypic biomass under different conditions, has become one of the bottlenecks restricting the development of precision agriculture; the development of computer graphics theory It provides necessary means for obtaining and processing structural information such as fruit size, size, volume, and curvature, obtaining three-dimensional fruit point cloud models, and analyzing and measuring crop fruit growth laws. , maintenance and reproduction of growth stages, food traceability and other fiel...

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): G06T11/00G06T17/20
CPCG06T11/006G06T17/20
Inventor 杨会君王增莹梁雨欣付杨晨王志垚王昕孙羽柔谢君琳王竟宇张鹏丹
Owner NORTHWEST A & F UNIV
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