Alhajhamad, H. and Sunar, M. S. and Kolivand, H. (2015) Automatic estimation of illumination features for indoor photorealistic rendering in augmented reality. In: 14th International Conference on New Trends in Intelligent Software Methodology, Tools, and Techniques, SoMeT 2015, 15 - 17 September 2015, Naples, Italy.
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Official URL: http://dx.doi.org/10.1007/978-3-319-22689-7_42
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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Computer vision, Illumination estimation |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Computing |
| ID Code: | 59168 |
| Deposited By: | Haliza Zainal |
| Deposited On: | 18 Jan 2017 01:50 |
| Last Modified: | 26 Sep 2021 15:38 |
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