Radiometric Compensation using Stratified Inverses

Through radiometric compensation, a projector-camera system can project a desired image onto a non-flat and nonwhite surface. This can be achieved by computing the inverse light transport of a scene. A light transport matrix is in general large and on the order of 106 × 106 elements. Therefore, computing the inverse light transport matrix is computationally and memory intensive. Two prior methods were proposed to simplify matrix inversion by ignoring scene inter-reflection between individual or clusters of camera pixels. However, compromising scene inter-reflection in spatial domain introduces spatial artifacts and how to systematically adjust the compensation quality is not obvious. In this work, we show how scene inter-reflection can be systematically approximated by stratifying the light transport of a scene. The stratified light transport enables a similar stratification in the inverse light transport. We can show that the stratified inverse light transport converges to the true...

• Type: Conference
• Year: 2009
• Where: ICCV
• Authors: Tian-Tsong Ng, Ramanpreet S. Pahwa, Jiamin Bai, Tony Q.S. Quek, and Kar-Han Tan
• Keywords: Computer Vision, ICCV 2009, Radiometric Compensation, Stratified Inverses