Lighting estimation from a single image containing multiple planes

Ping-Cheng Kuo, Hsin-Yuan Huang, Shang-Hong Lai

Abstract: In this paper, we present a novel lighting estimation algorithm for the scene containing two or more planes. This paper focuses on near point light source estimation. We first detect planar markers to estimate the poses of the 3D planes in the scene. Then we estimate the shading image from the captured image. A near point light source lighting model is used to define an objective function for light source estimation in this paper. The output of the proposed method is the lighting parameters estimated from minimizing the objective function. In the experiments, we test the proposed algorithm on synthetic data and real dataset. Our experimental results show the proposed algorithm outperforms the state-of-the-art lighting estimation method. Moreover, we develop an augmented reality system that includes lighting estimation by using the proposed algorithm.