Multiscale edge detection on range images via normal changes

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Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/29178

Title:	Multiscale edge detection on range images via normal changes
Authors:	Sze,CJ;Liao,HYM;Hung,HL;Fan,KC;Hsieh,JW
Contributors:	資訊工程研究所
Date:	1998
Issue Date:	2010-06-29 20:15:38 (UTC+8)
Publisher:	中央大學
Abstract:	A new edge detection technique based on detection of normal changes is proposed. Most of the existing range image-based edge detection algorithms base their detection criterion on depth or curvature changes. However, the depth change-based approch does not have keen sensitivity in detecting roof (or crease) edges, and the curvature change-based approach suffers from a complicated and tedious principal curvature derivation process. Using normal changes as a detecting criterion, on the other hand, the existence of an edge can be easily detected, even when the change across a boundary is slight. Experimental results using both synthetic and real images demonstrate that the proposed method can efficiently detect both step and roof edges.
Relation:	IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-ANALOG AND DIGITAL SIGNAL PROCESSING
Appears in Collections:	[Graduate Institute of Computer Science and Information Engineering] journal & Dissertation

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