Feature Point Detection and Curve Approximation for Early Processing of Freehand Sketches

dc.creator	Sezgin, Tevfik Metin
dc.date	2004-10-20T20:28:30Z
dc.date	2004-10-20T20:28:30Z
dc.date	2001-05-01
dc.date.accessioned	2013-10-09T02:48:10Z
dc.date.available	2013-10-09T02:48:10Z
dc.date.issued	2013-10-09
dc.identifier	AITR-2001-009
dc.identifier	http://hdl.handle.net/1721.1/7077
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description	Freehand sketching is both a natural and crucial part of design, yet is unsupported by current design automation software. We are working to combine the flexibility and ease of use of paper and pencil with the processing power of a computer to produce a design environment that feels as natural as paper, yet is considerably smarter. One of the most basic steps in accomplishing this is converting the original digitized pen strokes in the sketch into the intended geometric objects using feature point detection and approximation. We demonstrate how multiple sources of information can be combined for feature detection in strokes and apply this technique using two approaches to signal processing, one using simple average based thresholding and a second using scale space.
dc.format	82 p.
dc.format	10553461 bytes
dc.format	5067939 bytes
dc.format	application/postscript
dc.format	application/pdf
dc.language	en_US
dc.relation	AITR-2001-009
dc.subject	AI
dc.subject	Feature Point Detection
dc.subject	Curve Approximation
dc.subject	Freehand Sketching
dc.title	Feature Point Detection and Curve Approximation for Early Processing of Freehand Sketches

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