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Lighting estimation from a single image containing
Conference paper

Lighting estimation from a single image containing

Pin-Cheng Kuo, Hsin-Yuan Huang and Shang-Hong Lai
Proceedings of the 7th International Conference on Multimedia Systems, MMSys 2016, pp.242-250
10/05/2016

Abstract

Augmented reality Light source estimation Lighting estimation
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-theart lighting estimation method. Moreover, we develop an augmented reality system that includes lighting estimation by using the proposed algorithm.

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