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

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...

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 pictures to solve the problem of generating a three-dimensional point cloud model from a group of randomly photographed two-dimensional pictures of fruit crops

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