Ransac Based Out-of-Core Point-Cloud Shape Detection for City-Modeling
نویسندگان
چکیده
منابع مشابه
Target detection Bridge Modelling using Point Cloud Segmentation Obtained from Photogrameric UAV
In recent years, great efforts have been made to generate 3D models of urban structures in photogrammetry and remote sensing. 3D reconstruction of the bridge, as one of the most important urban structures in transportation systems, has been neglected because of its geometric and structural complexity. Due to the UAV technology development in spatial data acquisition, in this study, the point cl...
متن کامل3 D Urban Modeling from City - Scale Aerial Lidar Data
3D reconstruction from point clouds is a fundamental problem in both computer vision and computer graphics. As urban modeling is an important reconstruction problem that has various significant applications, this thesis investigates the complex problem of reconstructing 3D urban models from aerial LiDAR (Light Detection And Ranging) point cloud. In the first part of this thesis, an automatic ur...
متن کاملIdentifying Planes in Point Clouds for Efficient Hybrid Rendering
We present a hybrid rendering technique for highfeature colored point clouds that achieves both, high performance and high quality. Planar subsets in the point cloud are identified to drastically reduce the number of vertices, thus saving transformation bandwidth at the cost of the much higher fill-rate. Moreover, when rendering the planes, the filtering is comparable to elaborate point-renderi...
متن کاملAutomatic Segmentation of Building Facades Using Terrestrial Laser Data
There is an increasing interest of the scientific community in the generation of 3D facade models from terrestrial laser scanner (TLS) data. The segmentation of building facades is one of the essential tasks to be carried out in a 3D modelling process. Since in reality, majority of facade components are planar, the detection and segmentation of geometric elements like planes respond to the prev...
متن کاملTree Detection and Delineation from LiDAR point clouds using RANSAC
As Light Detection And Ranging (LiDAR) (point) data sets increase in resolution, earth scientists become more interested in detecting and delineating trees using LiDAR. The majority of conventional methods which detect and delineate trees convert point data into gridded surfaces. Unfortunately, this conversion process has the potential to introduce error. We improve a point-based geometric mode...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2007