Bundle Adjustment Constrained Smoothing for Multi-view Point Cloud Data
作者： Kun Liu , Rhaleb Zayer
DOI: 10.1007/978-3-642-33179-4_13
关键词: Reprojection error 、 Mathematics 、 Noise reduction 、 Computer vision 、 Point cloud 、 Artificial intelligence 、 Point tracking 、 Metrology 、 Smoothing 、 Bundle adjustment 、 Visual hull 、 Mathematical optimization
摘要: Direct use of denoising and mesh reconstruction algorithms on point clouds originating from multi-view images is often oblivious to the reprojection error. This can be a severe limitation in applications which require accurate tracking, e.g., metrology.
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