A method and system for three-dimensional reconstruction of tree morphological structure with leaves
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A three-dimensional reconstruction and tree technology, applied in 3D modeling, image data processing, instruments, etc., can solve the problem of increased algorithm running speed, difficulty in applying tree canopy light distribution characteristics, branch and leaf spatial distribution plant type characteristics research and analysis, reducing Problems such as the accuracy of the 3D model of trees
Active Publication Date: 2016-01-20
BEIJING RES CENT FOR INFORMATION TECH & AGRI
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These methods all have a common disadvantage: due to the large number of branches and leaves in the tree canopy, it is often difficult to reconstruct twigs and leaves directly from the scan data, so these methods generate twigs and leaves by applying some random rules to achieve visual However, this kind of reconstruction has not reached the real sense of "reconstruction based on measurement data". The reconstructed three-dimensional tree canopy structure is still quite different from the real tree, especially the density of leaves, space Orientation, leaf area, etc. may have large errors from the actual situation, and it is difficult to apply to the research and analysis of tree canopy light distribution characteristics, spatial distribution of branches and leaves, plant type characteristics, etc.
However, this reconstruction method still has deficiencies. The main problems are as follows: first, the method does not segment the 3D point cloud when extracting tree trunk skeletons, so it needs to be extracted from the 3D point cloud data of the whole tree. The running speed will increase, and the accuracy of the extracted branch skeleton will also be affected due to the influence of canopy leaf information. It was added later by the canopy distribution model of the twigs of this type of tree, so it also reduced the accuracy of the final reconstructed tree 3D model
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Embodiment 1
[0066] Embodiment 1 of the present invention provides a method for three-dimensional reconstruction of a tree morphological structure with leaves. The flowchart is as follows figure 1 shown, including the following steps:
[0067] Step A: Obtain the 3D point cloud data of the tree, and perform preprocessing and simplification processing to obtain a simplified 3D point cloud data set D of the tree c , the specific process is as follows figure 2 shown, including the following steps:
[0068] Step A1: Acquire 3D point cloud data with leaf state tree. Select an adult tree in the forest, use a large-scale laser 3D scanner (such as FAROfocus3D120) to acquire data during the non-deciduous period, and use the data processing software attached to the 3D scanner to generate the original 3D point cloud data with color information of the tree. like image 3 shown.
[0069] Step A2: Perform noise point elimination and secondary elimination processing on the original data of the 3D po...
Embodiment 2
[0097] In order to achieve the above purpose, the second embodiment of the present invention also provides a system for three-dimensional reconstruction of tree morphological structure with leaves, such as Figure 12 shown, including:
[0098] Acquisition and preprocessing module 1210 , organ segmentation module 1220 , backbone extraction module 1230 , branch and trunk reconstruction module 1240 and canopy reconstruction module 1250 .
[0099]The acquisition and preprocessing module 1210 is used to acquire the 3D point cloud data of the tree, and perform preprocessing and reduction processing to obtain a simplified tree 3D point cloud data set, which specifically includes: an acquisition module 1211 , a denoising point module 1212 and a reduction module 1213 .
[0100] The acquiring module 1211 is configured to acquire the three-dimensional point cloud data with the leaf state tree.
[0101] The denoising point module 1212 is used to perform noise point elimination and secon...
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Abstract
The invention discloses a method and a system of three-dimensional reconstruction of a shape structure of trees in a leaved state. The method comprises acquiring three-dimensional point cloud data of trees and carrying out preprocessing and simplifying processing to obtain simplified three-dimensional cloud data set of the trees, carrying out organ segmentation to the simplified three-dimensional point cloud data set of the trees to obtain the three-dimensional point cloud data of each organ, wherein the three-dimensional point cloud data of each organ comprise the three-dimensional point cloud data of a leaf organ, the three-dimensional point cloud data set of a main trunk, the three-dimensional point cloud data set of a main branch and the three-dimensional point cloud data set of a sprout, extracting the frameworks of limbs of the trees according to the three-dimensional point cloud data set of the main trunk, the three-dimensional point cloud data set of the main branch and the three-dimensional point cloud data set of the sprout and optimizing the frameworks of the limbs of the trees, carrying out meshing to the frameworks of the limbs of the trees to generate a three-dimensional mesh model of the limbs of the trees, classifying each limb of the frameworks of the limbs of the trees, and carrying out canopy three-dimensional reconstruction. The fast three-dimensional reconstruction of the shape structure of the trees in the leaved state is achieved, and therefore a method and a high-precision basic model support are provided for the structural analysis of the canopies of the trees, the evaluation of the physiological and ecological characteristics and the like.
Description
technical field [0001] The invention relates to the field of three-dimensional data processing of tree with leaves, in particular to a method and system for three-dimensional reconstruction of tree morphological structure with leaves. Background technique [0002] 3D reconstruction and quantitative analysis of tree morphological structure is a hot issue in the fields of agronomy research, graphic simulation and popular science education. Compared with other plants such as field crops and flowers, trees are not only taller in appearance, but also have more complex canopy branches and leaves. , which brings great challenges to the information collection and automatic reconstruction of tree morphological structures in the leafed state. [0003] In the paper "3D Structural Evaluation of Walnut Trees Based on Digitalization", a 3D digitizer is used to obtain the spatial information of walnut trees, and based on the collected information, the 3D model of the tree is reconstructed,...
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Patent Type & Authority Patents(China)
IPC IPC(8): G06T17/00G06T5/00
Inventor 陆声链赵春江郭新宇肖伯祥杜建军
Owner BEIJING RES CENT FOR INFORMATION TECH & AGRI
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