PROGRESSIVE GENERATION OF CONTROL FRAMEWORKS FOR IMAGE REGISTRATION

NCUIR > Research Center > Center for Space and Remote Sensing Research > journal & Dissertation > Item 987654321/27705

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/27705

Title:	PROGRESSIVE GENERATION OF CONTROL FRAMEWORKS FOR IMAGE REGISTRATION
Authors:	CHEN,LC;LEE,LH
Contributors:	太空及遙測研究中心
Keywords:	REPRESENTATION;TRIANGULATION;REGION
Date:	1992
Issue Date:	2010-06-29 18:52:39 (UTC+8)
Publisher:	中央大學
Abstract:	An original scheme to automatically generate control point pairs for image registration in a progressive way is presented here. It consists of three stages of processing. In the first stage, the Voronoi-Delaunay dual graph is used to predict the optimal location for a new control point to be generated. Second, a target-defined interest operator is designed to extract feature points from the predicted area. In the third stage, a hierarchical templet matching procedure is applied. A global consistency check by robust estimation to improve its reliability is also included. The major features of the proposed scheme are that (1) it yields highly reliable and accurate results, (2) the distribution of generated control points is uniform, and (3) it is computationally efficient. Examples illustrating the operation of the scheme are presented.
Relation:	PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING
Appears in Collections:	[Center for Space and Remote Sensing Research ] journal & Dissertation

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	702	View/Open

社群 sharing