A NOVEL PROJECTION ALGORITHM FOR PRODUCTION LAYOUT EXTRACTION FROM POINT CLOUDS
نویسندگان
چکیده
منابع مشابه
Feature Extraction From Point Clouds
ÆStefan Gumhold, Xinlong Wang & Rob Ma Leod ÆWSI/GRIS University of Tubingen stefan gumhold. om S ienti Computing and Imaging Institute University of Salt Lake City, Utah wangxl s.utah.edu ma leod vrti.utah.edu ABSTRACT This paper des ribes a new method to extra t feature lines dire tly from a surfa e point loud. No surfa e re onstru tion is needed in advan e, only the inexpensive omputation o...
متن کاملSolid Image Extraction from Lidar Point Clouds
In laser scanner architectural surveying it is necessary to extract orthogonal projections from the tridimensional model, plans, elevations and cross sections. The paper presents the workflow of architectural drawings production from laser scans, focusing on the orthogonal projection of the point cloud on solid images, in order to avoid the time consuming surface modeling, when it is not strict...
متن کاملExtraction of Lines from Laser Point Clouds
Three dimensional building models have become important during the past for various applications like urban planning, enhanced navigation or visualization of touristy or historic objects. 3D models can increase the understanding and explanation of complex urban scenes and support decision processes. A 3D model of the urban environment gives the possibility for simulation and rehearsal, to "fly ...
متن کاملIncremental Surface Extraction from Sparse Structure-from-Motion Point Clouds
Extracting surfaces from a sparse 3D point cloud in real-time can be beneficial for many applications that are based on Simultaneous Localization and Mapping (SLAM) like occlusion handling or path planning. However, this is a complex task since the sparse point cloud is noisy, irregularly sampled and growing over time. In this paper, we propose a new method based on an optimal labeling of an in...
متن کاملAutomated Extraction of 3d Trees from Mobile Lidar Point Clouds
This paper presents an automated algorithm for extracting 3D trees directly from 3D mobile light detection and ranging (LiDAR) data. To reduce both computational and spatial complexities, ground points are first filtered out from a raw 3D point cloud via blockbased elevation filtering. Off-ground points are then grouped into clusters representing individual objects through Euclidean distance cl...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Acta Polytechnica
سال: 2019
ISSN: 1805-2363,1210-2709
DOI: 10.14311/ap.2019.59.0203