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ECCV
2006
Springer

Robust 3D Segmentation of Multiple Moving Objects Under Weak Perspective

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Robust 3D Segmentation of Multiple Moving Objects Under Weak Perspective
A scene containing multiple independently moving, possibly occluding, rigid objects is considered under the weak perspective camera model. We obtain a set of feature points tracked across a number of frames and address the problem of 3D motion segmentation of the objects in presence of measurement noise and outliers. We extend the robust structure from motion (SfM) method [5] to 3D motion segmentation and apply it to realistic, contaminated tracking data with occlusion. A number of approaches to 3D motion segmentation have already been proposed [3, 6, 14, 15]. However, most of them were not developed for, and tested on, noisy and outlier-corrupted data that often occurs in practice. Due to the consistent use of robust techniques at all critical steps, our approach can cope with such data, as demonstrated in a number of tests with synthetic and real image sequences.
Levente Hajder, Dmitry Chetverikov
Added 22 Aug 2010
Updated 22 Aug 2010
Type Conference
Year 2006
Where ECCV
Authors Levente Hajder, Dmitry Chetverikov
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