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Process-type plant model reconstruction method based on multi-view images

A procedural, multi-view technology, applied in image data processing, 3D modeling, character and pattern recognition, etc., can solve problems such as low precision and large errors, and achieve a high sense of reality

Active Publication Date: 2019-01-29
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

[0006] In order to solve the above problems in the prior art, that is, in order to solve the problem of large error and low precision between the plant model constructed by the existing method and the real data, the present invention proposes a procedural plant model reconstruction method based on multi-view images , including the following steps:

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[0052] Preferred embodiments of the present invention are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention, and are not intended to limit the protection scope of the present invention.

[0053] It should be noted that, in the following description, many specific details are given for the convenience of understanding. It may be evident, however, that the present invention may be practiced without these specific details.

[0054] It should be noted that, in the case of no explicit limitation or conflict, various embodiments of the present invention and technical features therein can be combined with each other to form a technical solution.

[0055] A procedural plant model reconstruction method based on multi-view images proposed by the present invention, such as figure 1 shown, including the following steps:

[0056] Step S1...

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Abstract

The invention belongs to the technical field of plant modeling and computer graphics processing, in particular to a process-type plant model reconstruction method based on multi-view images, aiming atsolving the problems of large error and low precision between the plant model constructed by the prior method and the real data. The method comprises the following steps: acquiring the plant multi-view picture information; performing dense depth estimation based on color and geometric consistency; acquiring 3D point cloud data based on multi-view depth information fusion; a three-dimensional treebranch structure model of the plant is constructed by using a pre-constructed branch structure growth parameter representation model and the three-dimensional point cloud data to restrict plant growth. The invention provides a solution for reconstructing a complete tree model from a multi-view image. The obtained point clouds and models have a high degree of consistency with the original image, which skillfully combines plant process modeling and data-driven plant reconstruction method, not only to ensure the accuracy of the model, but also to maintain the biological significance of plants.

Description

technical field [0001] The invention belongs to the technical field of plant modeling and computer graphics processing, and in particular relates to a procedural plant model reconstruction method based on multi-view images. Background technique [0002] Accurate 3D reconstruction and growth modeling of plants are of high scientific value. Although many new algorithms have emerged in the field of plant modeling in recent years, and the accuracy and efficiency of modeling have been greatly improved, there are still many problems in plant modeling: on the one hand, whether it is through 3D scanning or visual methods The accuracy of plant reconstruction is limited, and this kind of work only focuses on the static three-dimensional geometric structure of plants, and does not consider the dynamic geometric evolution during plant growth; on the other hand, the current dynamic geometric modeling of plants is only based on plant mechanism Carry out virtual growth modeling, rare plan...

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Application Information

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IPC IPC(8): G06T17/00G06K9/62
CPCG06T17/00G06T2200/08G06F18/23
Inventor 郭建伟徐士彪严冬明孟维亮张晓鹏
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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