Recognising Structure in Laser Scanner Point Clouds
نویسندگان
چکیده
Both airborne and terrestrial laser scanners are used to capture large point clouds of the objects under study. Although for some applications, direct measurements in the point clouds may already suffice, most applications require an automatic processing of the point clouds to extract information on the shape of the recorded objects. This processing often involves the recognition of specific geometric shapes or more general smooth surfaces. This paper reviews several techniques that can be used to recognise such structures in point clouds. Applications in industry, urban planning, water management and forestry document the usefulness of these techniques. 1 This paper was written while the first author was with the Delft University of Technology.
منابع مشابه
Detection of some Tree Species from Terrestrial Laser Scanner Point Cloud Data Using Support-vector Machine and Nearest Neighborhood Algorithms
acquisition field reference data using conventional methods due to limited and time-consuming data from a single tree in recent years, to generate reference data for forest studies using terrestrial laser scanner data, aerial laser scanner data, radar and Optics has become commonplace, and complete, accurate 3D data from a single tree or reference trees can be recorded. The detection and identi...
متن کاملA novel method for locating the local terrestrial laser scans in a global aerial point cloud
In addition to the heterogeneity of aerial and terrestrial views, the small scale terrestrial point clouds are hardly comparable with large scale and overhead aerial point clouds. A hierarchical method is proposed for automatic locating of terrestrial scans in aerial point cloud. The proposed method begins with detecting the candidate positions for the deployment of the terrestrial laser scanne...
متن کاملOutlier Detection in Laser Scanner Point Clouds
Outlier detection in laser scanner point clouds is an essential process before the modelling step. However, the number of points in the generated point cloud is in the order of million points, so (semi) automatic approaches are necessary. Having introduced the sources of outliers in typical laser scanner point clouds, an outlier detection algorithm using a density based algorithm is addressed. ...
متن کاملImage-Based Registration Method for Terrestrial Laser Scanner Data
SUMMARY The registration of point clouds forms the first task associated with building 3D models from laser scanner data in cases where multiple scans are required for complete coverage of the scene or object being recorded. This paper presents an image-based registration method for terrestrial laser scanner (TLS) data in which the transformation parameters of one data set with respect to anoth...
متن کاملAutomatic Registration of Terrestrial Laser Scanner Data via Imagery
The registration of point clouds forms the first task associated with building 3D models from laser scanner data in cases where multiple scans are required for complete coverage of the scene or object being recorded. This paper presents an automatic registration method for terrestrial laser scanner (TLS) data in which the transformation parameters of one data set with respect to another are det...
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 2004