: Hybrid laser-stereo achieved MAE = 0.23 mm (0.23% relative error). Worst : Mobile LiDAR on glossy surfaces (error up to 2.1 mm).
where ( B ) = baseline, ( f ) = focal length. Differentiating gives relative depth error: File- Serge3DX---Measuring-Contest-and-Principa...
[4] OpenCV calibration documentation. (2025). “Camera Calibration and 3D Reconstruction.” If you intended a different specific document (e.g., a known “Serge3DX” contest from a forum like BlenderArtists or a GitHub repo), please share its actual content or a direct link, and I will rewrite the paper to exactly match that source. Otherwise, the above serves as a rigorous, generalizable paper on the topic suggested by your filename. : Hybrid laser-stereo achieved MAE = 0
[ Z = \fracB f\Delta x ]
[ \frac\delta ZZ = \frac\delta(\Delta x)\Delta x + \frac\delta BB + \frac\delta ff ] Otherwise, the above serves as a rigorous, generalizable
[3] Luhmann, T. et al. (2020). Close-Range Photogrammetry and 3D Imaging , 3rd ed. De Gruyter.