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Camera Pose Estimation from Lines using Direct Linear Transformation
Přibyl, Bronislav ; Pajdla, Tomáš (oponent) ; Koch, Reinhard (oponent) ; Zemčík, Pavel (vedoucí práce)
This thesis is concerned with camera pose estimation from correspondences of 3D/2D lines, i.e. with the Perspective- n -Line (PnL) problem. Attention is focused on large line sets which can be efficiently solved by methods using linear formulation of PnL. Up to date, methods working only with point-line correspondences were known. Motivated by this, two novel methods based on the Direct Linear Transformation (DLT) algorithm are proposed: DLT-Plücker-Lines working with line-line correspondences and DLT-Combined-Lines working with both point-line and line-line correspondences. In the latter case, the redundant information reduces the minimum of required line correspondences to 5 and improves accuracy of the method. The methods were extensively evaluated and compared to several state-of-the-art PnL methods in various conditions including simulated and real-world data. DLT-Combined-Lines achieves results similar to or better than state-of-the-art, while it is still highly efficient. In addition, the thesis introduces a unifying framework for DLT-based pose estimation methods, within which the proposed methods are presented.
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Camera Pose Estimation from Lines using Direct Linear Transformation
Přibyl, Bronislav ; Pajdla, Tomáš (oponent) ; Koch, Reinhard (oponent) ; Zemčík, Pavel (vedoucí práce)
This thesis is concerned with camera pose estimation from correspondences of 3D/2D lines, i.e. with the Perspective- n -Line (PnL) problem. Attention is focused on large line sets which can be efficiently solved by methods using linear formulation of PnL. Up to date, methods working only with point-line correspondences were known. Motivated by this, two novel methods based on the Direct Linear Transformation (DLT) algorithm are proposed: DLT-Plücker-Lines working with line-line correspondences and DLT-Combined-Lines working with both point-line and line-line correspondences. In the latter case, the redundant information reduces the minimum of required line correspondences to 5 and improves accuracy of the method. The methods were extensively evaluated and compared to several state-of-the-art PnL methods in various conditions including simulated and real-world data. DLT-Combined-Lines achieves results similar to or better than state-of-the-art, while it is still highly efficient. In addition, the thesis introduces a unifying framework for DLT-based pose estimation methods, within which the proposed methods are presented.
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