Jorge Lopez-Moreno, Elena Garces, Sunil Hadap, Erik Reinhard and Diego Gutierrez Multiple Light Source Estimation in a Single Image Computer Graphics Forum 32
Many high-level image processing tasks require an estimate of the positions, directions and relative intensities of the light sources that illuminated the depicted scene. In image-based rendering, augmented reality and computer vision, such tasks include matching image contents based on illumination, inserting rendered synthetic objects into a natural image, intrinsic images, shape from shading and image relighting. Yet, accurate and robust illumination estimation, particularly from a single image, is a highly ill-posed problem. In this paper, we present a new method to estimate the illumination in a single image as a combination of achromatic lights with their 3D directions and relative intensities. In contrast to previous methods, we base our azimuth angle estimation on curve fitting and recursive refinement of the number of light sources. Likewise, we present a novel surface normal approximation using an osculating arc for the estimation of zenith angles.
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