Thanikachalam, NiranjanBaboulaz, LoïcFirmenich, DamienSüsstrunk, SabineVetterli, Martin2016-03-172016-03-172016-03-17201710.1109/TCI.2017.2749182https://infoscience.epfl.ch/handle/20.500.14299/124986WOS:000415733800006Relightable photographs are alternatives to traditional photographs as they provide a richer viewing experience. However, the complex acquisition systems of existing techniques have restricted its usage to specialized setups. We introduce an easy-to-use and affordable solution for using smartphones to acquire the reflectance of paintings and similar almost-planar objects like tablets, engravings and textile. Our goal is to enable interactive relighting of such artifacts by everyone. In our approach, we non-uniformly sample the reflectance functions by moving the LED light of a smartphone and simultaneously tracking the position of the smartphone by using its camera. We then propose a compressive-sensing based approach for reconstructing the light transport matrix from the non-uniformly sampled data. As shown with experiments, we accurately reconstruct the light transport matrix that can then be used to create relightable photographs.Light transport matrixcomputational relightingimage based relightingcompressive sensingnon-uniform samplingmobile imagingtext::journal::journal article::research article