Gan, JiangbinBergen, PhilippThormählen, ThorstenDrescher, PhilipHagens, RalfSchulz, Hans-Jörg and Teschner, Matthias and Wimmer, Michael2019-09-292019-09-292019978-3-03868-098-7https://doi.org/10.2312/vmv.20191314https://diglib.eg.org:443/handle/10.2312/vmv20191314In this paper, we improve upon an existing many-lights multi-view photometric stereo approach. Firstly, we show how to detect continuous regions for normal integration, which leads to a fully automatic reconstruction pipeline. Secondly, we compute perpixel light source visibilities using an initial biased reconstruction in order to update the estimated normal map to a solution with reduced bias. Thirdly, to further improve the normal accuracy, we compensate for interreflections of light between surface locations. Our approach is evaluated on both synthetic and real-world data and it is shown that the normal accuracy is improved by around 50 percent.Computing methodologiesReconstructionNormal Map Bias Reduction for Many-Lights Multi-View Photometric Stereo10.2312/vmv.2019131419-25