DocumentCode :
1871215
Title :
3D structure from uncalibrated image sequence
Author :
Fu, Dan ; Qiu, Zhiqiang ; Yu, Qifeng
fYear :
2006
fDate :
19-21 Jan. 2006
Lastpage :
228
Abstract :
A new approach to recover 3D structure from the aerial uncalibrated image sequence is presented. Unlike previous methods, the method uses a factorization-based algorithm to recover 3D models´ initial values and bundle adjustment to get accurate results. The focal lengths can be supposed to be the only unknown intrinsic parameters. The factorization-based method performs a projective reconstruction by using a linear factorization algorithm and upgrades the projective solution to a Euclidean one by enforcing some metric constraints. Bundle adjustment refines a visual reconstruction to produce jointly optimal structure and viewing parameter estimates when we get the ideal initial values from the factorization-based methods. Experiments results on synthetic and real image sequences verified the new approach´s precise and efficiency
Keywords :
image reconstruction; image sequences; stereo image processing; 3D structure; aerial uncalibrated image sequence; bundle adjustment; focal lengths; linear factorization algorithm; projective reconstruction; visual reconstruction; Cameras; Cost function; Image converters; Image reconstruction; Image sequences; Iterative algorithms; Parameter estimation; Refining; Robot vision systems; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems and Control in Aerospace and Astronautics, 2006. ISSCAA 2006. 1st International Symposium on
Conference_Location :
Harbin
Print_ISBN :
0-7803-9395-3
Type :
conf
DOI :
10.1109/ISSCAA.2006.1627616
Filename :
1627616
Link To Document :
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