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
(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
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.
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