A Theory of Inverse Light Transport

In this paper we consider the problem of computing and removing interreflections in photographs of real scenes. Towards this end, we introduce the problem of inverse light transport—given a photograph of an unknown scene, decompose it into a sum of n-bounce images, where each image records the contribution of light that bounces exactly n times before reaching the camera. We prove the existence of a set of interreflection cancelation operators that enable computing each n-bounce image by multiplying the photograph by a matrix. This matrix is derived from a set of “impulse images” obtained by probing the scene with a narrow beam of light. The operators work under unknown and arbitrary illumination, and exist for scenes that have arbitrary spatially-varying BRDFs. We derive a closedform expression for these operators in the Lambertian case and present experiments with textured and untextured Lambertian scenes that confirm our theory’s predictions.

• Type: Conference
• Year: 2005
• Where: ICCV
• Authors: Steven M. Seitz, Yasuyuki Matsushita, Kiriakos N. Kutulakos
• Keywords: Computer Vision, ICCV 2005, Interreflection Cancelation Operators, N-bounce Image, Photograph