MRI/RUI: Acquisition of Range-Scanning Equipment and of Data Servers for the Reconstruction of Large-Scale Scenes from 3D Range and 2D Color Data.

EIA-0215962 Ioannis Stamos Charles Ehlschlaeger CUNY Hunter CollegeMRI/RUI：获取范围扫描设备和数据服务器，用于从3D范围和2D彩色数据重建大规模场景该提议解决了在以新颖的配准、分割、建模和可视化算法为特征的紧密集成系统中的大规模场景的3D真实感重建的问题，解决了以下问题：1）非平面分割，2）3D和2D数据集之间的自动配准，3）数据集的集成，以及4）复杂几何的简化。该项目要求获得一个高精度的范围扫描仪，可以提供密集的室外场景的3D数据。提出了一种系统，该系统对校准和未校准的3D范围和2D图像数据的输入序列进行操作。该系统将分割的范围和彩色图像，提取其特征，建立拓扑关系的特征之间，并在最终的三维几何模型中的特征之间的全局拓扑关系。整个过程将完全自动化，除了范围到图像配准过程需要最少的用户交互。预期的输出包括场景的完整照片级真实感模型。由此产生的3D模型将用于地理空间;所获得的数据也将用于CS和地理部门的教学目的。在空间信息分析和研究中心（CARSI）的帮助下，纽约市中心的市区和曼哈顿的大中央车站内部被用作试验台。

EIA-0215962Ioannis StamosCharles EhlschlaegerCUNY Hunter CollegeMRI/RUI: Acquisition of Range-Scanning Equipment and of Data Servers for the Reconstruction of Large-Scale Scenes from 3D Range and 2D Color DataThis proposal, addressing the problem of 3D-photorealistic reconstruction of large-scale scenes in a tightly integrated system that features novel registration, segmentation, modeling, and visualization algorithms, tackles the following issues:1) Nonplanar segmentation, 2) Automatic registration between 3D and 2D data sets,3) Integration of the data sets, and 4) Simplification of the complex geometry.The project requests the acquisition of a highly accurate range-scanner that can provide dense 3D data of outdoor scenes. Proposed is a system that operates on an input sequence of calibrated and uncalibrated 3D range and 2D image data. The system will segment the range and color images, extract their features, establish topological relationships between features, and derive global topological relationships between features in the final 3D geometric model. The whole process will be fully automated except for the range-to-image registration process that requires minimal user interaction. The expected output consists of a complete photorealistic model of the scene. The resulting 3D models will be utilized in geospatial; the acquired data will also be used for teaching purposes in CS and Geography departments. Aided by the Center of the Analysis and Research of Spatial Information (CARSI), urban areas of downtown New York and the interior of Grand Central Station in Manhattan are being used as testbeds.