The supplement training dataset for self-calibrating photometric stereo

The PS_Sculpture training dataset introduced by the PS-FCN contained various non-Lambertian reflectances, cast shadows, interreflections and effective noise information. However, for dark materials such as black-phenolic and steel, significant data loss happened due to 8-bit quantification. To lessen this data loss, we designed a new supplementary training dataset rendered by 10 blobby objects and 10 other objects freely downloaded from the Internet and the real BRDF data comes from the MERL dataset. Besides, this supplementary dataset includes the SVBRDF and the specific image illuminated by the collocated light. Better deep learning based photometric stereo model could be trained by the combination of the PS_Sculpture dataset and the new supplementary dataset.