Abstract

We introduce a new methodology for radiometric reconstruc- tion from multiple images. It opens new possibilities because it allows simultaneous recovery of varying unknown illuminants (one per image), surface albedoes, and cameras’ radiometric responses. Designed to com- plement geometric reconstruction techniques, it only requires as input the geometry of the scene and of the cameras. Unlike photometric stereo approaches, it is not restricted to images taken from a single viewpoint. Linear and non-linear implementations in the Lambertian case are pro- posed; simulation results are discussed and compared to related work to demonstrate the gain in stability; and results on real images are shown.