We present a completely automated Structure and Mo- tion pipeline capable of working with uncalibrated images with varying internal parameters and no ancillary informa- tion. The system is based on a novel hierarchical scheme which reduces the total complexity by one order of magni- tude. We assess the quality of our approach analytically by comparing the recovered point clouds with laser scans, which serves as ground truth data.

Improving the Efficiency of Hierarchical Structure-and-Motion

GHERARDI, Riccardo;FARENZENA, Michela;FUSIELLO, Andrea
2010

Abstract

We present a completely automated Structure and Mo- tion pipeline capable of working with uncalibrated images with varying internal parameters and no ancillary informa- tion. The system is based on a novel hierarchical scheme which reduces the total complexity by one order of magni- tude. We assess the quality of our approach analytically by comparing the recovered point clouds with laser scans, which serves as ground truth data.
computer vision; multiple views; structure and motion
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11562/342562
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