DocumentCode :
3420205
Title :
A New Algorithm of F Matrix Computing to Build Digital Elevation Model
Author :
Yang Qiyu ; Gong Zhenbang ; Wu JiaQi ; Ding Wei
Author_Institution :
Dept. of Precision Machinery, Shanghai Univ., Shanghai
fYear :
2006
fDate :
Nov. 29 2006-Dec. 1 2006
Firstpage :
632
Lastpage :
635
Abstract :
It is the primary step of "digital city" to construct three-dimensional digital map. We consider that it constructed by computer vision based on the image microminiature aircraft collected. But the characteristic point\´s quantity cannot meet the requirement of construct digital elevation model. This paper provides a latest correlative matching method based on epipolar constrain after introduce the characteristic point extract and matching. Also it adopted a precise fundamental matrix estimate algorithm to calculate epipolar equation and increase the matching point. This algorithm performs very well in terms of robustness to outliers and noises. It improves the precision effectively. It also gives the experimental evidence of this algorithm\´s effect and its speed meets the real time\´s request.
Keywords :
cartography; computer vision; digital elevation models; geographic information systems; geophysical signal processing; image matching; matrix algebra; F matrix estimation algorithm; cartography; computer vision; correlative matching method; digital city; digital elevation model; epipolar equation; image microminiature aircraft; three-dimensional digital map construction; Aircraft manufacture; Aircraft navigation; Cameras; Computer vision; Costs; Data mining; Digital elevation models; Geographic Information Systems; Noise robustness; Photography; Epipolar Constrain characteristic point matching Digital Elevation Model Fundamental Matrix;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Reality and Telexistence--Workshops, 2006. ICAT '06. 16th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
0-7695-2754-X
Type :
conf
DOI :
10.1109/ICAT.2006.16
Filename :
4089328
Link To Document :
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