25 September 2003 Complete structure recovery from long image sequence with occlusions
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Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.539012
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China
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.
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Li Tang, Li Tang, Chengke Wu, Chengke Wu, Shigang Liu, Shigang Liu, Yaoping Yan, Yaoping Yan, } "Complete structure recovery from long image sequence with occlusions", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.539012; https://doi.org/10.1117/12.539012
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