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2015 | OriginalPaper | Chapter

Automatic Estimation of Illumination Features for Indoor Photorealistic Rendering in Augmented Reality

Authors : Hasan Alhajhamad, Mohd Shahrizal Sunar, Hoshang Kolivand

Published in: Intelligent Software Methodologies, Tools and Techniques

Publisher: Springer International Publishing

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Abstract

In this paper, a fast and practical algorithm is presented to estimate the multiple number of lights from every single indoor scene image in Augmented Reality environmet. This algorithm provides a way to accurately estimate the position, directions, and intensities properties of the light sources in a scene. Unlike other state-of-the-art algorithms, it is able to give accurate results without any essential analysis on the objects in the scene. It uses the analysis of the saturation channel HSV data. The evaluation is done by testing a ground truth dataset of synthetic and real images with known properties of lights and then comparing the results with other studies in the field.

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Title: Automatic Estimation of Illumination Features for Indoor Photorealistic Rendering in Augmented Reality
Authors: Hasan Alhajhamad
Mohd Shahrizal Sunar
Hoshang Kolivand
Publisher: Springer International Publishing
Book: Intelligent Software Methodologies, Tools and Techniques
Print ISBN: 978-3-319-22688-0

Electronic ISBN: 978-3-319-22689-7

Copyright Year: 2015
DOI: https://doi.org/10.1007/978-3-319-22689-7_42

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