Abstract
In this paper, we present a novel technique for applying image-based lighting on virtual objects by constructing synthesized environment maps (SEM) automatically. In contrast to related work, we use unordered photo collections as input instead of a completely measured environmental lighting (so called light probe). Each image is interpreted as a spatial piece of a light probe. Thus, we accumulate all given pieces to a synthesized environment map by a given weight function. In addition, multiple coverage is used to increase the dynamic range. Finally, we show how this algorithm is applied for an interactive image-based Augmented Reality environment for virtual product presentations.
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Kölzer, K., Nagl, F., Birnbach, B., Grimm, P. (2009). Rendering Virtual Objects with High Dynamic Range Lighting Extracted Automatically from Unordered Photo Collections. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2009. Lecture Notes in Computer Science, vol 5876. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10520-3_95
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DOI: https://doi.org/10.1007/978-3-642-10520-3_95
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