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Optics InfoBase > Conference Papers > CLEO_Apps > 2010 > JThJ > Page JThJ1 © 2010 OSA

Conference Paper
Conference on Lasers and Electro-Optics: Applications
San Jose, California United States
May 16-21, 2010
ISBN: 978-1-55752-889-6
Standoff Laser Sensing (JThJ)

Automatic Recognition of Diverse 3-D Objects and Analysis of Large Urban Scenes Using Ground and Aerial LIDAR Sensors

Yuri Owechko, Swarup Medasani, and Thommen Korah

http://dx.doi.org/10.1364/CLEO.2010.JThJ1


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Abstract

We describe a learning-based 3-D object recognition pipeline developed under the DARPA URGENT program for analyzing a large LIDAR dataset collected by both airborne and ground platforms for an extended urban area.

© 2010 The Optical Society

OCIS Codes
(150.0150) Machine vision : Machine vision
(150.6910) Machine vision : Three-dimensional sensing
(280.0280) Remote sensing and sensors : Remote sensing and sensors
(280.3640) Remote sensing and sensors : Lidar

Citation
Y. Owechko, S. Medasani, and T. Korah, "Automatic Recognition of Diverse 3-D Objects and Analysis of Large Urban Scenes Using Ground and Aerial LIDAR Sensors," in Conference on Lasers and Electro-Optics 2010, OSA Technical Digest (CD) (Optical Society of America, 2010), paper JThJ1.
http://www.opticsinfobase.org/abstract.cfm?URI=CLEO_Apps-2010-JThJ1

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