Method for analyzing cold resistance of plant based on RGBD image dense three-dimensional reconstruction

Abstract

The invention discloses a plant cold resistance analysis method based on RGBD image dense three-dimensional reconstruction, and the method comprises the following steps: (1) obtaining RGBD images, at different angles, of a plant at different stages, and taking the image of each stage of each plant as a group of data; before three-dimensional reconstruction is started, the depth position of a plant in a depth image is firstly obtained, and configuration file parameters are set; (2) for each group of images, reconstructing a plant model through a dense three-dimensional reconstruction method; and (3) analyzing the change of the three-dimensional model of the plant in each stage, and counting the proportion of the model in the subsequent stage to the initial state to distinguish whether the plant is a cold-resistant plant. The method has the advantages of low cost, mature and efficient functions, wide application scenarios and the like.

Description

technical field [0001] The invention belongs to the field of plant three-dimensional structure analysis, and in particular relates to a method for plant cold tolerance analysis based on dense three-dimensional reconstruction of RGBD images. Background technique [0002] Smart agriculture refers to the combination of modern science and technology with agricultural planting to achieve unmanned, automated and intelligent management. [0003] For plants, environmental factors play a key role in growth. Different plants can survive under various complex geographical conditions, which is more due to the adaptability of plants to environmental changes. For agriculture, the planting environment is cold-resistant. crops can improve yield and quality. The cold tolerance of plants can be expressed as the morphological differences of plants in different environments, and the plant model can be analyzed by 3D reconstruction technology to judge its cold tolerance. [0004] Image-based 3...

AI Technical Summary

Problems solved by technology

Early 3D technologies usually used 2D images as input to reconstruct 3D models. The 3D models established by RGB images had low precision and limited scope of application; with the emergence of depth cameras for ordinary consumers, depth image data was provided, reducing the Reconstruction is difficult and the application scenarios are more extensive. The 3D scanning and reconstruction technology based on depth camera has been developed rapidly.

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