Feature Extraction from 3D Point Cloud Data Based on Discrete Curves

Resonance Based Feature Extraction of 3D Objects from RCS Data

Classification of objects based on Radar Cross Section (RCS) has several military and civilian applications. Feature extraction is an important step in the classification process. The resonances (features) of an object are unique and are independent of the look angles (aspect). A database created with the resonances of known radar targets help in the classification of targets. A method to extra...

Data Filtering and Feature Extraction of Urban Typical Objects from Airborne Lidar Point Cloud

The research in the detection and feature extraction of typical objects in urban areas has intensified. In existing detection technologies, it has been shown that the LIDAR technique is very promising and suitable for 3D object detection mainly because 3D sub-randomly spatial distributed point cloud represented the object’s geometrical structure can be obtained easily and instantly. In this pap...

Feature Extraction from Visual Data Feature Extraction from Visual Data

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...

3d Feature Point Extraction from Lidar Data Using a Neural Network

Accurate positioning of vehicles plays an important role in autonomous driving. In our previous research on landmark-based positioning, poles were extracted both from reference data and online sensor data, which were then matched to improve the positioning accuracy of the vehicles. However, there are environments which contain only a limited number of poles. 3D feature points are one of the pro...