A geometric segmentation approach for the 3D reconstruction of dynamic scenes in 2D video sequences

Knorr, S, Sikora, T, Imre, E and Alatan, AA (2006) A geometric segmentation approach for the 3D reconstruction of dynamic scenes in 2D video sequences European Signal Processing Conference.

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Abstract

In this paper, an algorithm is proposed to solve the multi-frame structure from motion (MFSfM) problem for monocular video sequences with multiple rigid moving objects. The algorithm uses the epipolar criterion to segment feature trajectories belonging to the background scene and each of the independently moving objects. As a large baseline length is essential for the reliability of the epipolar geometry, the geometric robust information criterion is employed for key-frame selection within the sequences. Once the features are segmented, corresponding objects are reconstructed individually using a sequential algorithm that is capable of prioritizing the frame pairs with respect to their reliability and information content. The experimental results on synthetic and real data demonstrate that our approach has the potential to effectively deal with the multi-body MFSfM problem.

Item Type:	Article
Divisions :	Surrey research (other units)
Authors :	Knorr, S, Sikora, T, Imre, E and Alatan, AA
Date :	2006
Depositing User :	Symplectic Elements
Date Deposited :	17 May 2017 12:31
Last Modified :	24 Jan 2020 22:24
URI:	http://epubs.surrey.ac.uk/id/eprint/835682

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