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Proceedings Paper

Complete structure recovery from long image sequence with occlusions
Author(s): Li Tang; Chengke Wu; Shigang Liu; Yaoping Yan
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Paper Abstract

An algorithm to retrieve structure from long image sequence captured by a hand-held camera is proposed. Firstly, the long image sequence is divided into several subsets. Each subset has common feature points. Secondly, Euclidean reconstruction is obtained by factorization with all of these points visible in each image of a certain subset. Then results coming from different subset are brought into a common coordinate frame by the similarity transformations. Finally, global optimization is applied to refine the data and produce a jointly optimal 3D structure. A significant merit of the algorithm is that it can deal with the long image sequences with occlusions. The algorithm has been tested on real images with satisfactory results.

Paper Details

Date Published: 25 September 2003
PDF: 6 pages
Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.539012
Show Author Affiliations
Li Tang, Xidian Univ. (China)
Chengke Wu, Xidian Univ. (China)
Shigang Liu, Xidian Univ. (China)
Yaoping Yan, Xidian Univ. (China)


Published in SPIE Proceedings Vol. 5286:
Third International Symposium on Multispectral Image Processing and Pattern Recognition
Hanqing Lu; Tianxu Zhang, Editor(s)

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