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	Author	Gumhold, Stefan; Wang, Xinlong; MacLeod, Rob
	Title	Feature Extraction from Point Clouds			Type	Conference Article
	Year	2001	Publication	Proceedings of the 10th International Meshing Roundtable	Abbreviated Journal
	Volume		Issue		Pages	293-305
	Keywords	feature detection; scattered data; crease recovery; border detection; edge linking
	Abstract	This paper describes a new method to extract feature lines directly from a surface point cloud. No surface reconstruction is needed in advance, only the inexpensive computation of a neighbor graph connecting nearby points. The feature extraction is performed in two stages. The first stage consists of assigning a penalty weight to each point that indicates the unlikelihood that the point is part of a feature and assigning these penalty weights to the edges of a neighbor graph. Extracting a sub-graph of the neighbor graph that minimizes the edge penalty weights then produces a set of feature patterns. The second stage is especially useful for noisy data. It recovers feature lines and junctions by fitting wedges to the crease lines and corners to the junctions. As the method works on the local neighbor graph only, it is fast and automatically adapts to the sampling resolution. This makes the approach ideal as a preprocessing step in mesh generation.
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	Corporate Author				Thesis
	Publisher	Sandia National Laboratories	Place of Publication	Newport Beach, California	Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference	10th International Meshing Roundtable
	Notes				Approved	yes
	Call Number	UCF @ kdamkjer @ Gumhold_2001			Serial	33
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