@INPROCEEDINGS{Publ2016-792, author = {Shida Beigpour and Mai Lan Ha and Sven Kunz and Andreas Kolb and Volker Blanz}, title = {Multi-view Multi-illuminant Intrinsic Dataset}, booktitle = {Proc. British Machine Vision Conference (BMVC)}, year = {2016}, abstract = {We create a new stereo, multi-coloured illumination and high resolution dataset with precise ground-truth, depth and 3D point cloud for intrinsic image research. The dataset also challenges the intrinsic image methods by providing cast shadows and specularity. This is the first publicly available multi-view multi-illuminant real-photo dataset. In the effort to help evaluating different intrinsic image methods, we propose a new perceptioninspired metric that is based on the reflectance consistency. Finally, we evaluate three state-of-the-art single image based intrinsic methods on our dataset using LMSE and our proposed metric.}, }