Prioritized sequential 3D reconstruction in video sequences with multiple motions

Date

2006-10-11

Author

Imre, Evren
Knorr, Sebastian
Alatan, Abdullah Aydın
Sikora, Thomas

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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in this study, an algorithm is proposed to solve the multi-frame structure from motion (MFSfM) problem for monocular video sequences in dynamic scenes. The algorithm uses the epipolar criterion to segment the features belonging to independently moving objects. Once the features are segmented, corresponding objects are reconstructed individually by using a sequential algorithm, which is also capable of prioritizing the frame pairs with respect to their reliability and information content, thus achieving a fast and accurate reconstruction through efficient processing of the available data. A tracker is utilized to increase the baseline distance between views and to improve the F-matrix estimation, which is beneficial to both the segmentation and the 3D structure estimation processes. The experimental results demonstrate that our approach has the potential to effectively deal with the multi-body MFSfM problem in a generic video sequence.

Subject Keywords

Machine vision; , Image analysis

URI

https://hdl.handle.net/11511/40986

DOI

https://doi.org/10.1109/icip.2006.312930

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

E. Imre, S. Knorr, A. A. Alatan, and T. Sikora, “Prioritized sequential 3D reconstruction in video sequences with multiple motions,” 2006, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/40986.