By Topic

Feature extraction from range images in 3D modeling of urban scenes

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Cheng Qian ; Dept. of Electron. Eng., Tsinghua Univ., Beijing, China ; Fengting Li ; Chenghui Ge

Since data acquisition is executed outdoors, the quality of data is not very satisfactory, and special treatments are involved in our extraction methods in order to provide rich and accurate feature information for processing at upper level. In plane extraction, planar cluster-selection & filtering algorithm is proposed to overcome the classic antinomy about size of the window used to test planarity; in line segment extraction, segments grow along the boundaries to overcome the misleading effect of those irregular jump-edge points created by tree leaves. Experiment results verify that the algorithms are quite effective for the range data where much noise from trees, parking cars and pedestrians exists.

Published in:

Robotics, Intelligent Systems and Signal Processing, 2003. Proceedings. 2003 IEEE International Conference on  (Volume:2 )

Date of Conference:

8-13 Oct. 2003