城市植被多种数据源信息的三维精细重建与大规模真实感快速呈现

项目名称： 城市植被多种数据源信息的三维精细重建与大规模真实感快速呈现

项目编号： No.61331018

项目类型： 重点项目

立项/批准年度： 2014

项目学科： 无线电电子学、电信技术

项目作者： 张晓鹏

作者单位： 中国科学院自动化研究所

项目金额： 290万元

中文摘要： 图像和三维处理技术的发展促进居住环境数字化的进程。城市植被三维精细重建与大规模真实感呈现，在城市的数字化建设、生态效益评估、空间布局规划和管理决策领域有应用价值。本项目发展图像、视觉和三维处理的新方法和新技术，以解决城市数字化过程中植被信息的获取、重建、处理和呈现的技术问题。项目针对城市植被多种数据源信息，研究植被信息的处理、基于三维分析的植物个体和群体三维精细重建、基于相似性分析的复杂环境中植物的交互重建、基于形状约束和植物学原理的植物重建、重建的植物模型编码和简化、以及大规模快速真实感呈现等技术问题。项目的创新和关键科学问题为：图像中植被植株整体分割和枝叶茎精细分割、基于高光谱的环境因子计算、多视角大场景三维点云获取、树木信息缺失点云的精细重建、植物重建与植物生长建模的结合、真实树木的逆向过程建模、城市植被场景形状分析和快速呈现。主要难点在于多源数据一致性的分析。

中文关键词： 城市植被;三维重建;多源数据;真实感;呈现

英文摘要： The development of image and 3D processing technology promotes the digitalization of residential environment. Refined 3D reconstruction and large-scale realistic presentation of urban vegetation have application value in urban digitalization, ecological benefit evaluation, space layout planning, and management decision. This project develops new methods and techniques in image, vision and 3D processing, and solves the technical problems of acquisition, reconstruction, processing and presentation of vegetation information in urban digitalization. According to multiple-source data of urban vegetation, research contents are urban vegetation information processing, refined 3D reconstruction of an individual plant and a group of plants based on 3D analysis, interactive reconstruction of plants in complex environment based on similarity analysis, plant modeling based on input restrictions and botanic principals, coding and simplification of plant models, and large-scale fast and realistic presentation. The innovations and the key scientific problems in this project are as follows: segmentation for vegetation and plants in images, refined segmentation of branches, leaves, and stems, hyperspectral image based environmental factor calculation, 3D point cloud acquisition from multi-view images in a large-scale scene, high-precision reconstruction from incomplete plant point cloud, the combination of plant reconstruction and plant growth, inverse process modeling of real trees, urban vegetation scene shape analysis, and fast presentation. The key difficulty is the analysis for coherence of multiple-source data.

英文关键词： Urban vegetations ;3D reconstruction;Multiple-source data;Realism;Presentation