id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
3n203x8339h	Alexandri Gregor Zavodny	Analysis of Large-Scale Unstructured Urban Range Scan Data	2009		.txt	text/plain	163	5	34	Efficient 3D scanning technology has led to acquisition of very large datasets for application areas as diverse as terrain and urban modeling, but relatively few techniques exist to automatically extract meaningful regions from this data, and the largest datasets examined in the literature rarely exceed millions of points in size. In this thesis, we present an efficient algorithm for identification of locally planar regions in large-scale GPS-registered scan data containing hundreds of millions of points.	cache/3n203x8339h.txt	txt/3n203x8339h.txt