Multiple Light Source Estimation in a Single Image

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dc.contributor.authorLopez-Moreno, Jorgeen_US
dc.contributor.authorGarces, Elenaen_US
dc.contributor.authorHadap, Sunilen_US
dc.contributor.authorReinhard, Eriken_US
dc.contributor.authorGutierrez, Diegoen_US
dc.contributor.editorHolly Rushmeier and Oliver Deussenen_US
dc.date.accessioned2015-02-28T16:16:25Z
dc.date.available2015-02-28T16:16:25Z
dc.date.issued2013en_US
dc.description.abstractMany 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. Similarly, we present a novel surface normal approximation using an osculating arc for the estimation of zenith angles. By means of a new data set of ground‐truth data and images, we demonstrate that our approach produces more robust and accurate results, and show its versatility through novel applications such as image compositing and analysis.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.en_US
dc.description.number8
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume32
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12195en_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltd.en_US
dc.subjectcomputational photographyen_US
dc.subjectimage/video editingen_US
dc.subjectlight source estimationen_US
dc.subjectI.4.8 [Image Processing and Computer Vision]en_US
dc.subjectScene Analysis—Photometryen_US
dc.titleMultiple Light Source Estimation in a Single Imageen_US
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