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• W4283396578 abstract "Structure-from-motion (SfM) techniques have been widely used for three-dimensional (3D) scene reconstruction from sequential video frames. However, for reconstructing narrow and confined spaces such as the interior of drainage pipes, selecting geometrically optimal frames is a major challenge, not only to reduce the number of needed frames but also to yield better geometry. This paper introduces a coarse-to-fine method to optimize the selection of monocular video frames based on a geometric criterion called feature-based parallax analysis for 3D pipe reconstruction. The proposed method was applied in two experiments with a monocular camera fixed on a customized robot. Experimental results show that our approach only requires respectively 9.66% and 3.15% of the number of frames. The spatial distribution of the retrieved frames was uniform and reasonable, enabling the successful SfM process to achieve a complete reconstruction of the pipe geometry." @default.
• W4283396578 created "2022-06-25" @default.
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• W4283396578 date "2022-07-01" @default.
• W4283396578 modified "2023-10-17" @default.
• W4283396578 title "Monocular Video Frame Optimization Through Feature-Based Parallax Analysis for 3D Pipe Reconstruction" @default.
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• W4283396578 doi "https://doi.org/10.14358/pers.21-00066r3" @default.
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