Tree leaf modeling method based on point cloud data

A point cloud data and modeling method technology, applied in the interdisciplinary field, can solve the problem that the details of plant leaves cannot be accurately reconstructed, and achieve the effect of rich details

Inactive Publication Date: 2013-09-04
XIAN UNIV OF TECH
View PDF2 Cites 47 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to provide a leaf modeling method based on point cloud data, which solves the problem that the prior art is only applicable to specific plants and is only an approximate reconstruction of the real plant leaf shape, and cannot accurately reconstruct the real plant leaves. a matter of detail

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
  • Tree leaf modeling method based on point cloud data
  • Tree leaf modeling method based on point cloud data
  • Tree leaf modeling method based on point cloud data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] The present invention will be described in detail below in conjunction with the accompanying drawings. It should be noted that the described embodiments are only intended to facilitate the understanding of the present invention, rather than limiting it in any way.

[0042] The present invention first performs preprocessing such as denoising and smoothing on the leaf point cloud data collected by the three-dimensional laser scanner; then combines the knowledge of image processing to obtain the boundary points and vein points of the point cloud data and simplifies the preprocessed data; Then use Delaunary triangular meshing to establish the grid model of the leaf; again, use the method of texture mapping to draw a realistic leaf model; finally select the vein points as control points and use the Laplacian grid deformation method to generate different shape of leaves.

[0043] see figure 1 ,Specific steps are as follows:

[0044] Extraction steps of vein points and bound...

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 discloses a tree leaf modeling method based on point cloud data. The tree leaf modeling method comprises the following steps of preprocessing, namely denoising, smoothing and the like, the tree leaf point cloud data acquired by a three-dimensional laser scanner; then extracting boundary points and vein points of the point cloud data, and reducing the point cloud data; constructing a grid model of tree leaves by using Delaunary triangular gridding, and drawing a vivid tree leaf model by a texture mapping method; and finally selecting the vein points as control points, and generating the tree leaves of different forms by a Laplacian grid deformation method. By the tree leaf modeling method, the boundary points and the vein points in the point cloud data can be accurately extracted and can be retained in a process of reducing the data, so that the extremely vivid tree leaf model with rich details can be reconstructed; and furthermore, forms such as curling and sereness of the tree leaves under the conditions of high temperature and water loss can be simulated.

Description

technical field [0001] The invention belongs to the interdisciplinary technical field of scientific computing visualization and mathematical modeling, and relates to a leaf modeling method based on point cloud data. Background technique [0002] With the rapid development of 3D laser scanning technology and scanning equipment, reconstruction based on 3D point cloud data has become a hot spot in geometric modeling. Laser scanning technology breaks through the traditional single-point measurement method, and can quickly, high-density, and high-precision obtain the three-dimensional coordinate information of the surface of the measured object. In recent years, relevant scholars have applied laser scanning technology to the field of plant modeling. [0003] Leaf is one of the most important organs of plants. Different plants have different leaf shapes and textures. Even the leaves on the same tree will have different shapes and textures depending on factors such as climate and ...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06T17/00
Inventor 王映辉唐婧王刚宁小娟郝雯
Owner XIAN UNIV OF TECH
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